IHP Water Information Network System (IHP-WINS)
Applications of AI for Water Management
A stress test for climate change impacts on water security: A CRIDA case study
Since the impacts of climate change will be felt most directly through changes in water availability and water security, adequate tools are required to support water resources management decisions for the medium and long term. The Climate Risk Informed Decision Analysis (CRIDA) provides a pathway for more localized vulnerability assessments of water resources under climate change, while encompassing the uncertainty of current global climate projections. Within this framework, this paper demonstrates a climate stress test to identify changes in key performance indicators defined through local stakeholder consultations using a bottom-up approach. When applied to a case study in the Limari River basin in Chile, the stress test highlights the vulnerability of the reservoir system to climate variability and change, through a comprehensive analysis of 43 Global Circulation Models, of which 34 were retained. The Level of Concern (LoC) was defined as high, due to a high plausibility for entering into adverse water security conditions, that are expected to provoke a significant impact in the highly productive areas of the watershed. As demonstrated by the case study, the climate stress test provides a relevant assessment tool for potential climate change impacts on critical components of the water system in vulnerable catchments.
Saberes emergentes de las artes urbanas y cultura de paz. Un estudio de caso en San Salvador
Este trabajo se llevó a cabo en Majucla, colonia ubicada en el municipio de Cuscatancingo San Salvador, e involucra a los jóvenes del Comité Juvenil Expresión Hip Hop. El objeto del trabajo es presentar a Majucla, el barrio y sus calles, como cuna de saberes emergentes de las artes urbanas o cuna de actividades artísticas hip hop y lo que implica el concepto emergente frente al saber disciplinar y la epistemología. Por contraste con el saber académico es conveniente acuñar este concepto que alude a lo menor, lo excluido, lo subordinado, en analogía con la vida que pende de un hilo en los sectores deprimidos. Saberes emergentes es llegar a ser mientras las actividades de los jóvenes se dirigen a crear e intentar comercializar sus obras. Pese a las dificultades encontradas, principalmente por la violencia imperante y las barreras de acceso a la educación, los jóvenes siguen empeñados en crear arte y fortalecer el colectivo. Aprenden en la universidad de la calle aquellos saberes que les permitan identificarse como diferentes y resistir en las condiciones en que les tocó vivir.
South Korea Hydrometeorological Data from WAMIS
Datos Hidrometeorológicos de Corea del Sur desde WAMIS
Données Hydrométéorologiques de la Corée du Sud à partir de WAMIS
This dataset provides comprehensive hydrometeorological data from South Korea, sourced through the WAMIS Open API. It includes hourly, daily, and monthly records of precipitation, water levels, meteorological conditions, river flow rates, and suspended sediment loads. The data is collected from various stations across South Korea and is regularly updated to support environmental monitoring, research, and water resource management. Users can access real-time and historical data, making this dataset valuable for climate studies, hydrological modeling, and infrastructure planning. This catalog includes the following data resources: >__Hourly Precipitation Data__: Precipitation levels recorded every hour over the last 3 days. > >__Daily Precipitation Data__: Daily precipitation measurements covering the last 3 months. > >__Monthly Precipitation Data__: Monthly precipitation data spanning the last 3 years. > >__Hourly Water Level Data__: Water level data recorded hourly for various rivers, updated every 3 hours. > >__Daily Water Level Data__: Daily water level records from the last 3 months for multiple stations. > >__Hourly Meteorological Data__: Hourly meteorological data including temperature, humidity, wind speed, and solar radiation. > >__Daily Meteorological Data__: Daily meteorological summaries, ideal for longer-term climate analysis. > >__Daily River Flow Rate Data__: Daily records of river flow rates for the current year. > >__Suspended Sediment Load Data__: Information on sediment load concentrations and flow rates over the last 3 years.
Este conjunto de datos proporciona información hidrometeorológica integral de Corea del Sur, obtenida a través de la API abierta de WAMIS. Incluye registros horarios, diarios y mensuales de precipitaciones, niveles de agua, condiciones meteorológicas, caudales de ríos y cargas de sedimentos en suspensión. Los datos se recopilan en diversas estaciones de monitoreo de Corea del Sur y se actualizan regularmente para apoyar la vigilancia ambiental, la investigación y la gestión de los recursos hídricos. Los usuarios pueden acceder a datos en tiempo real y a datos históricos, lo que hace que este conjunto de datos sea valioso para estudios climáticos, modelado hidrológico y planificación de infraestructuras. Este catálogo incluye los siguientes recursos de datos: __Datos de Precipitación Horaria:__ Niveles de precipitación registrados cada hora durante los últimos 3 días. __Datos de Precipitación Diaria:__ Mediciones diarias de precipitación que cubren los últimos 3 meses. __Datos de Precipitación Mensual:__ Datos mensuales de precipitación que abarcan los últimos 3 años. __Datos de Nivel de Agua Horarios:__ Datos de nivel de agua registrados cada hora en varios ríos, actualizados cada 3 horas. __Datos de Nivel de Agua Diarios:__ Registros diarios de nivel de agua de los últimos 3 meses en múltiples estaciones. __Datos Meteorológicos Horarios:__ Datos meteorológicos horarios que incluyen temperatura, humedad, velocidad del viento y radiación solar. __Datos Meteorológicos Diarios:__ Resúmenes meteorológicos diarios, ideales para análisis climáticos a largo plazo. __Datos Diarios de Caudal de Ríos:__ Registros diarios de caudal de ríos para el año actual. __Datos de Carga de Sedimentos en Suspensión:__ Información sobre la concentración de sedimentos en suspensión y caudales en los últimos 3 años.
Ce jeu de données fournit des données hydrométéorologiques complètes provenant de Corée du Sud, obtenues via l'API ouverte de WAMIS. Il comprend des enregistrements horaires, quotidiens et mensuels de précipitations, de niveaux d'eau, de conditions météorologiques, de débits de rivières et de charges de sédiments en suspension. Les données sont collectées dans différentes stations de surveillance en Corée du Sud et sont régulièrement mises à jour pour soutenir la surveillance environnementale, la recherche et la gestion des ressources en eau. Les utilisateurs peuvent accéder à des données en temps réel et historiques, ce qui rend ce jeu de données précieux pour les études climatiques, la modélisation hydrologique et la planification des infrastructures. Ce catalogue comprend les ressources de données suivantes : *Données de Précipitations Horaires : Niveaux de précipitations enregistrés toutes les heures sur les 3 derniers jours. *Données de Précipitations Quotidiennes : Mesures quotidiennes des précipitations couvrant les 3 derniers mois. *Données de Précipitations Mensuelles : Données mensuelles des précipitations couvrant les 3 dernières années. *Données de Niveaux d'Eau Horaires : Niveaux d'eau enregistrés toutes les heures dans plusieurs rivières, mises à jour toutes les 3 heures. *Données de Niveaux d'Eau Quotidiennes : Enregistrements quotidiens des niveaux d'eau des 3 derniers mois pour plusieurs stations. *Données Météorologiques Horaires : Données météorologiques horaires incluant la température, l'humidité, la vitesse du vent et le rayonnement solaire. *Données Météorologiques Quotidiennes : Résumés météorologiques quotidiens, idéals pour des analyses climatiques à long terme. *Données de Débits de Rivières Quotidiennes : Enregistrements quotidiens des débits de rivières pour l'année en cours. *Données de Charges Sédimentaires en Suspension : Informations sur les concentrations de sédiments en suspension et les débits des 3 dernières années.
TerriaJS Map Catalog in JSON Format
This dataset contains a collection of JSON files used to configure map catalogs in TerriaJS, an interactive geospatial data visualization platform. The files include detailed configurations for services such as WMS, WFS, and other geospatial resources, enabling the integration and visualization of diverse datasets in a user-friendly web interface. This resource is ideal for developers, researchers, and professionals who wish to customize or implement interactive map catalogs in their own applications using TerriaJS.
Hurricane Melissa - Building Damage Assessment in Crawford Village (Jamaica)
This map illustrates the structures/buildings damaged by Tropical Cyclone MELISSA-25. The analysis focuses on Crawford Village, Black River District, Saint Elizabeth Parish, as of 29 October 2025, where damage was detected using a WorldView-2 very high-resolution satellite image acquired on 29 October 2025. UNOSAT identified approximately 1,089 buildings as 100% damaged. This is a preliminary analysis and has not yet been validated in the field. Ground verification is encouraged, and feedback can be sent to the United Nations Satellite Centre (UNOSAT).
Lake-TopoCat: Global lake drainage topology and catchment database (HydroLAKES-TopoCat v1.1)
Lake-TopoCat provides a global-scale dataset that links lakes with their drainage topology, delineates catchments, defines inter-lake pathways, and quantifies topological attributes (upstream/downstream relationships, drainage distances, outlet multiplicity, etc.). The input is based on HydroLAKES v1.0 and MERIT Hydro (3 arcsec), with algorithms to detect possible lake bifurcation, unit catchment delineation, reach segmentation, and network attribution. The database includes: * Lake boundary polygons (same as HydroLAKES) enriched with drainage attributes * Lake outlet points * Unit catchment polygons corresponding to each lake outlet * Inter-lake reach lines connecting outlets * Lake-network basins (basin polygons delineating the full drainage domain of each lake network) It covers ~1.43 million lakes (≥10 ha) and ~1.46 million outlets globally, and ~3 million inter-lake reaches, spanning ~77.5 × 10⁶ km² of catchment coverage (≈ 57 % of global landmass, excluding Antarctica). The dataset is freely available via Zenodo (DOI: 10.5281/zenodo.7916729) and is licensed under CC BY 4.0.
Latin American Drought Atlas - Argentina
Atlas de sequias - Argentina
Atlas de Secheresse - Argentine
This dataset present the Drought Atlas for Argentina, developed as part of the Latin American and Caribbean Drought Atlas. The maps show the minimum (and maximum) precipitation for different return periods (in years) and the frequency of drought occurrences (precipitation deficits with respect to the normal annual precipitation) for Argentina.
Advancing Safe, Climate-Resilient Drinking Water Infrastructure and UN SDGs through Lead Service Line Replacement
The Sustainable Drinking Water Infrastructure Hub supports governments, utilities, and Tribal authorities in strengthening safe, climate-resilient drinking water infrastructure through equitable, data-driven planning. The Hub provides access to the UNEP-recognized Lead Service Line Replacement Cost Calculator (LSLRCC), a free, multilingual tool that models project costs, informs risk-based investment, and supports compliance with the U.S. EPA’s Lead and Copper Rule Improvements (LCRI) and State Revolving Fund (SRF) programs. Recognized by the United Nations Environment Programme (UNEP), the U.S. Environmental Protection Agency (EPA), and international sustainability networks, the Hub advances key United Nations Sustainable Development Goals (SDGs), including Clean Water and Sanitation (SDG 6), Good Health and Well-Being (SDG 3), Reduced Inequalities (SDG 10), Climate Action (SDG 13), and Sustainable Cities and Communities (SDG 11). Through the integration of climate-adaptive drinking water infrastructure planning strategies, the Hub supports communities in managing risks from flooding, drought, and extreme weather while fostering resilient, lead-free, and sustainable drinking water systems. This public resource complements the LSLRCC record already hosted on IHP-WINS, placing it within a broader ecosystem of applied research, policy alignment, and knowledge sharing dedicated to advancing safe, equitable, and risk-informed drinking water management worldwide. **Additional Information:** - [Sustainable Drinking Water Infrastructure Hub](https://ephillc.com/lead-service-line-replacements/) - [Lead Service Line Replacement Cost Calculator (LSLRCC)](https://ephillc.com/lead-service-line-replacement-cost-calculator/) - [EPHI Public Outreach Hub](https://ephillc.com/category/news/)
Global Groundwater Quality
Calidad Global de las Aguas Subterráneas
Qualité mondiale des eaux souterraines
The Global Groundwater Quality Portal by IGRAC is a dedicated platform for sharing global maps and datasets related to groundwater quality. It brings together data and models developed by IGRAC and its international partners, including global assessments of groundwater contamination and occurrence of key elements such as arsenic, fluoride, PFAS, and salinity. The portal provides harmonized geospatial information that supports global and regional monitoring of groundwater quality, promotes data accessibility, and contributes to sustainable groundwater management worldwide. It is part of IGRAC’s mission to facilitate international information exchange and knowledge sharing on groundwater resources.
El Portal Global de la Calidad de las Aguas Subterráneas de IGRAC es una plataforma dedicada al intercambio de mapas y conjuntos de datos globales relacionados con la calidad del agua subterránea. Reúne datos y modelos desarrollados por IGRAC y sus socios internacionales, incluyendo evaluaciones globales de la contaminación de las aguas subterráneas y la presencia de elementos clave como arsénico, flúor, PFAS y salinidad. El portal proporciona información geoespacial armonizada que apoya el monitoreo global y regional de la calidad del agua subterránea, promueve el acceso a los datos y contribuye a la gestión sostenible de los recursos subterráneos en todo el mundo. Forma parte de la misión de IGRAC de facilitar el intercambio internacional de información y el fortalecimiento del conocimiento sobre los recursos de aguas subterráneas.
Le Portail mondial de la qualité des eaux souterraines de l’IGRAC est une plateforme dédiée au partage de cartes et de jeux de données mondiaux relatifs à la qualité des eaux souterraines. Il rassemble des données et des modèles développés par l’IGRAC et ses partenaires internationaux, y compris des évaluations mondiales de la contamination des eaux souterraines et de la présence d’éléments clés tels que l’arsenic, le fluor, les PFAS et la salinité. Le portail fournit des informations géospatiales harmonisées qui soutiennent la surveillance mondiale et régionale de la qualité des eaux souterraines, favorisent l’accessibilité des données et contribuent à une gestion durable des eaux souterraines à l’échelle mondiale. Il s’inscrit dans la mission de l’IGRAC visant à faciliter l’échange international d’informations et le partage des connaissances sur les ressources en eaux souterraines.
Impact of Sewage Wastewater on the Environment of Tanjero River and Its Basin within Sulaimani City
This study (https://doi.org/10.1007/s12517-017-3298-0) assesses the impacts of untreated wastewater discharge from Sulaimani City, Iraq, into the Tanjero River and proposes a framework for wastewater treatment planning. Nine sewer outlets representing residential, commercial, industrial, tourism, and hospital effluents were sampled over a year, and physicochemical analyses revealed elevated levels of turbidity, total dissolved solids, hardness, nitrates, and heavy metals—particularly in industrial zones. Questionnaire surveys conducted in 31 surrounding villages indicated significant health burdens, including chronic diseases, diarrhea, typhoid, skin disorders, and cancer, alongside impacts on livestock, fisheries, and agricultural productivity. Rice cultivation has nearly disappeared, and vegetable farming has declined due to water contamination. The findings highlight severe environmental and public health risks from current practices, where raw wastewater is still used for irrigation and animal watering. To mitigate these impacts, the study recommends constructing two wastewater treatment plants with stormwater retention structures, enforcing pretreatment of industrial effluents, and introducing appropriate on-site sanitation for unconnected households. Adoption of these measures would safeguard water resources, improve public health, and enable the safe reuse of treated wastewater for agriculture and industry.
Landslide Susceptibility and Exposure Assesment — Chimanimani and Chipinge districts, Zimbabwe
Evaluación de la susceptibilidad y exposición a deslizamientos de tierra — distritos de Chimanimani y Chipinge, Zimbabue
Évaluation de la susceptibilité et l'exposition aux glissements de terrain — districts de Chimanimani et Chipinge, Zimbabwe
This dataset contains layers for manuscript 'Capturing the complete landslide–debris-rich flood continuum for accurate inventory, susceptibility and exposure mapping – lessons from Cyclone Idai'. They provide a comprehensive analysis of impact, susceptibility and exposure to landslide and associated debris-rich floods in the Chimanimani and Chipinge districts, Zimbabwe. This work was carried out within the framework of the UNESCO project BE-RESILIENT Zimbabwe, funded by the World Bank and managed by the UNOPS Zimbabwe Idai Recovery Project. We also acknowledge support from BELSPO STEREO-IV LACTOSE project. The authors thank the local authorities who facilitated data collection and fieldwork in eastern Zimbabwe.
Lead Service Line Replacement Cost Calculator (LSLRCC)
Dataset abstract (EN): The Lead Service Line Replacement Cost Calculator (LSLRCC) is a UNEP-recognized, free, multilingual web-based modeling tool developed by Environmental & Public Health International (EPHI). It helps local governments, Tribal nations, and utilities plan and budget for lead service line replacements. The calculator promotes open access to infrastructure cost modeling and supports data-driven decision-making aligned with the UN Sustainable Development Goals (SDG 6 – Clean Water and Sanitation, SDG 11 – Sustainable Cities, and SDG 13 – Climate Action). LSLRCC enables users to estimate total and per-line replacement costs for materials, excavation, labor, administration, contingency, and post-replacement activities. While © EPHI, the tool is freely accessible for public, educational, and institutional use to promote equitable, climate-resilient water infrastructure investments. Access the tool at: https://ephillc.com/lead-service-line-replacement-cost-calculator/
Showcase - Be-Resilient Citizen Science Water Quality Data (South Africa)
This dataset contains citizen science water quality measurements collected under the Be-Resilient initiative of the UNESCO Intergovernmental Hydrological Programme (IHP). Data were gathered across multiple Biosphere Reserves in South Africa as part of ongoing efforts to enhance community-based monitoring and local resilience to hydroclimatic risks. The dataset includes in-situ observations of key water quality parameters, such as pH, electrical conductivity, turbidity, dissolved oxygen, and temperature, each accompanied by localized timestamps and contextual metadata. Measurements were obtained by trained citizen scientists and local volunteers, following standardized protocols designed to ensure comparability across sites and over time. Individual identifiers have been removed to protect the privacy of participants. The dataset serves as an open, quality-controlled source for hydrological and environmental analyses, education, and early-warning applications. It contributes to the broader Be-Resilient programme objective of promoting citizen and open science approaches for climate adaptation, data democratization, and the co-production of water knowledge in vulnerable and data-scarce regions.
Suitability maps of Managed Aquifer Recharge (MAR), Costa Rica
Mapas de idoneidad para la recarga gestionada de acuíferos (MAR), Costa Rica
Cartes d’adéquation pour la recharge artificielle des aquifères (MAR), Costa Rica
The MAR Portal contains the Global MAR Inventory, an inventory of over 1200 sites where Managed Aquifer Recharge is or has been implemented. The Global MAR Inventory includes information on site name, MAR type, year of scheme deployment, the source of infiltration water, the final use of abstracted water, as well as the main objectives of the project. This dataset presents a MAR suitability map for Costa Rica, developed by Bonilla et al. (2016). The study ranks areas suitable for MAR through spreading methods based on hydrogeological aptitude, terrain slope, soil texture, and drainage network density. The dataset provides geospatial information that supports groundwater recharge planning, water resources management, and climate change adaptation in Costa Rica. It is part of the global collection of MAR suitability assessments compiled by IGRAC. If you would like to contribute data to the MAR portal, please contact us at info@un-igrac.org.
El Portal MAR contiene el Inventario Global de MAR, un inventario de más de 1200 sitios donde la recarga gestionada de acuíferos (MAR) se ha implementado o se encuentra en operación. El Inventario Global de MAR incluye información sobre el nombre del sitio, el tipo de MAR, el año de implementación del esquema, la fuente del agua de infiltración, el uso final del agua extraída, así como los principales objetivos del proyecto. Este conjunto de datos presenta un mapa de idoneidad para la MAR en Costa Rica, desarrollado por Bonilla et al. (2016). El estudio clasifica las áreas adecuadas para la MAR mediante métodos de dispersión, basándose en la aptitud hidrogeológica, la pendiente del terreno, la textura del suelo y la densidad de la red de drenaje. El conjunto de datos proporciona información geoespacial que respalda la planificación de la recarga de acuíferos, la gestión de los recursos hídricos y la adaptación al cambio climático en Costa Rica. Forma parte de la colección global de evaluaciones de idoneidad para MAR compilada por IGRAC. Si desea contribuir con datos al Portal MAR, por favor contáctenos en info@un-igrac.org.
Le Portail MAR contient l’Inventaire mondial de la MAR, un inventaire de plus de 1200 sites où la recharge artificielle des aquifères (MAR) est ou a été mise en œuvre. L’Inventaire mondial de la MAR comprend des informations sur le nom du site, le type de MAR, l’année de mise en œuvre du dispositif, la source de l’eau d’infiltration, l’utilisation finale de l’eau extraite, ainsi que les principaux objectifs du projet. Ce jeu de données présente une carte d’adéquation pour la MAR au Costa Rica, développée par Bonilla et al. (2016). L’étude classe les zones adaptées à la MAR à l’aide de méthodes de diffusion, fondées sur l’aptitude hydrogéologique, la pente du terrain, la texture du sol et la densité du réseau de drainage. Le jeu de données fournit des informations géospatiales soutenant la planification de la recharge des eaux souterraines, la gestion des ressources en eau et l’adaptation au changement climatique au Costa Rica. Il fait partie de la collection mondiale d’évaluations d’adéquation pour la MAR compilée par l’IGRAC. Si vous souhaitez contribuer des données au Portail MAR, veuillez nous contacter à info@un-igrac.org.
Suitability maps of Managed Aquifer Recharge (MAR), Ganges River Basin, Asia
Mapas de idoneidad para la recarga gestionada de acuíferos (MAR), Cuenca del río Ganges, Asia
Cartes d’adéquation pour la recharge artificielle des aquifères (MAR), Bassin du fleuve Gange, Asie
The MAR Portal contains the Global MAR Inventory, an inventory of over 1200 sites where Managed Aquifer Recharge is or has been implemented. The Global MAR Inventory includes information on site name, MAR type, year of scheme deployment, the source of infiltration water, the final use of abstracted water, as well as the main objectives of the project. This dataset presents a MAR suitability map for the Ganges River Basin, developed by Brindha and Pavelic (2016). The study identifies priority watersheds for mitigating flood and drought impacts through conjunctive surface and groundwater management under the Underground Taming of Floods for Irrigation (UTFI) approach. The analysis covers the transboundary Ganges Basin extending across Bangladesh, China, India, and Nepal. The dataset provides geospatial information that supports flood mitigation planning, groundwater recharge strategies, and integrated water resources management in South Asia. It is part of the global collection of MAR suitability assessments compiled by IGRAC. If you would like to contribute data to the MAR portal, please contact us at info@un-igrac.org.
El Portal MAR contiene el Inventario Global de MAR, un inventario de más de 1200 sitios donde la recarga gestionada de acuíferos (MAR) se ha implementado o se encuentra en operación. El Inventario Global de MAR incluye información sobre el nombre del sitio, el tipo de MAR, el año de implementación del esquema, la fuente del agua de infiltración, el uso final del agua extraída, así como los principales objetivos del proyecto. Este conjunto de datos presenta un mapa de idoneidad para la MAR en la cuenca del río Ganges, desarrollado por Brindha y Pavelic (2016). El estudio identifica cuencas prioritarias para mitigar los impactos de inundaciones y sequías mediante la gestión conjunta de aguas superficiales y subterráneas bajo el enfoque Underground Taming of Floods for Irrigation (UTFI). El análisis abarca la cuenca transfronteriza del Ganges que se extiende por Bangladesh, China, India y Nepal. El conjunto de datos proporciona información geoespacial que respalda la planificación de la mitigación de inundaciones, las estrategias de recarga de acuíferos y la gestión integrada de los recursos hídricos en Asia meridional. Forma parte de la colección global de evaluaciones de idoneidad para MAR compilada por IGRAC. Si desea contribuir con datos al Portal MAR, por favor contáctenos en info@un-igrac.org.
Le Portail MAR contient l’Inventaire mondial de la MAR, un inventaire de plus de 1200 sites où la recharge artificielle des aquifères (MAR) est ou a été mise en œuvre. L’Inventaire mondial de la MAR comprend des informations sur le nom du site, le type de MAR, l’année de mise en œuvre du dispositif, la source de l’eau d’infiltration, l’utilisation finale de l’eau extraite, ainsi que les principaux objectifs du projet. Ce jeu de données présente une carte d’adéquation pour la MAR dans le bassin du fleuve Gange, développée par Brindha et Pavelic (2016). L’étude identifie des bassins versants prioritaires pour atténuer les impacts des inondations et des sécheresses grâce à la gestion conjointe des eaux de surface et souterraines selon l’approche Underground Taming of Floods for Irrigation (UTFI). L’analyse couvre le bassin transfrontalier du Gange, s’étendant sur le Bangladesh, la Chine, l’Inde et le Népal. Ce jeu de données fournit des informations géospatiales qui soutiennent la planification de la réduction des risques d’inondation, les stratégies de recharge des nappes phréatiques et la gestion intégrée des ressources en eau en Asie du Sud. Il fait partie de la collection mondiale d’évaluations d’adéquation pour la MAR compilée par l’IGRAC. Si vous souhaitez contribuer des données au Portail MAR, veuillez nous contacter à info@un-igrac.org.
Suitability maps of Managed Aquifer Recharge (MAR), Northern Australia
Mapas de idoneidad para la recarga gestionada de acuíferos (MAR), Norte de Australia
Cartes d’adéquation pour la recharge artificielle des aquifères (MAR), Nord de l’Australie
The MAR Portal contains the Global MAR Inventory, an inventory of over 1200 sites where Managed Aquifer Recharge is or has been implemented. The Global MAR Inventory includes information on site name, MAR type, year of scheme deployment, the source of infiltration water, the final use of abstracted water, as well as the main objectives of the project. This dataset presents a MAR suitability map for Northern Australia, developed by CSIRO (2018). The study assesses opportunities for Managed Aquifer Recharge (MAR) in surficial aquifers to support agricultural development across the Fitzroy, Darwin, and Mitchell catchments. The analysis is based on the characteristics of surficial geology, topography, and modelled estimates of regolith thickness and soil permeability. The dataset provides geospatial information that can support sustainable water resource planning and agricultural water management in Northern Australia. It is part of the global collection of MAR suitability assessments compiled by IGRAC. If you would like to contribute data to the MAR portal, please contact us at info@un-igrac.org.
El Portal MAR contiene el Inventario Global de MAR, un inventario de más de 1200 sitios donde la recarga gestionada de acuíferos (MAR) se ha implementado o se encuentra en operación. El Inventario Global de MAR incluye información sobre el nombre del sitio, el tipo de MAR, el año de implementación del esquema, la fuente del agua de infiltración, el uso final del agua extraída, así como los principales objetivos del proyecto. Este conjunto de datos presenta un mapa de idoneidad para la MAR en el norte de Australia, desarrollado por la CSIRO (2018). El estudio evalúa las oportunidades para la recarga gestionada de acuíferos en acuíferos superficiales con el fin de apoyar el desarrollo agrícola en las cuencas de Fitzroy, Darwin y Mitchell. El análisis se basa en las características de la geología superficial, la topografía y las estimaciones modeladas del espesor del regolito y la permeabilidad del suelo. El conjunto de datos proporciona información geoespacial que puede apoyar la planificación sostenible de los recursos hídricos y la gestión del agua agrícola en el norte de Australia. Forma parte de la colección global de evaluaciones de idoneidad para MAR compilada por IGRAC. Si desea contribuir con datos al Portal MAR, por favor contáctenos en info@un-igrac.org.
Le Portail MAR contient l’Inventaire mondial de la MAR, un inventaire de plus de 1200 sites où la recharge artificielle des aquifères (MAR) est ou a été mise en œuvre. L’Inventaire mondial de la MAR comprend des informations sur le nom du site, le type de MAR, l’année de mise en œuvre du dispositif, la source de l’eau d’infiltration, l’utilisation finale de l’eau extraite, ainsi que les principaux objectifs du projet. Ce jeu de données présente une carte d’adéquation pour la recharge artificielle des aquifères dans le nord de l’Australie, développée par le CSIRO (2018). L’étude évalue les opportunités de recharge artificielle des aquifères de surface afin de soutenir le développement agricole dans les bassins de Fitzroy, Darwin et Mitchell. L’analyse repose sur les caractéristiques de la géologie de surface, la topographie et les estimations modélisées de l’épaisseur du régolithe et de la perméabilité des sols. Le jeu de données fournit des informations géospatiales pouvant appuyer la planification durable des ressources en eau et la gestion de l’eau agricole dans le nord de l’Australie. Il fait partie de la collection mondiale d’évaluations d’adéquation pour la MAR compilée par l’IGRAC. Si vous souhaitez contribuer des données au Portail MAR, veuillez nous contacter à info@un-igrac.org.
Global Sandwatch Dataset – Participatory Monitoring of Beaches and Coastal Environments
Conjunto de Datos Global de Sandwatch – Monitoreo Participativo de Playas y Entornos Costeros
Jeu de Données Mondial Sandwatch – Suivi Participatif des Plages et Environnements Côtiers
The Global Sandwatch Dataset consolidates participatory observations collected through UNESCO’s Sandwatch Programme, a global citizen science and education initiative promoting climate change adaptation and sustainable coastal management. The dataset contains standardized monitoring data from 145 beaches in more than 50 countries, contributed by over 300 community observers, schools, and environmental groups. Covering over a decade of observations, the dataset documents beach morphology, erosion and accretion patterns, composition, debris, human activities, water quality, wave and current dynamics, vegetation, and fauna. Each record reflects local community engagement in data collection and environmental stewardship, fostering awareness and resilience within coastal ecosystems-especially in Small Island Developing States (SIDS) and low-lying coastal regions. The data structure follows the Sandwatch methodology of Monitoring, Analysing, Sharing, and Taking Action (MAST) and aligns with UNESCO’s Education for Sustainable Development (ESD) and climate adaptation frameworks. It provides a unique interdisciplinary resource integrating environmental, social, and educational dimensions of coastal change, valuable for research, education, and policy design in coastal resilience and participatory monitoring.
El Conjunto de Datos Global de Sandwatch consolida observaciones participativas recopiladas a través del Programa Sandwatch de la UNESCO, una iniciativa mundial de ciencia ciudadana y educación que promueve la adaptación al cambio climático y la gestión sostenible de las zonas costeras. El conjunto incluye datos estandarizados de monitoreo de 145 playas en más de 50 países, recopilados por más de 300 observadores comunitarios, escuelas y grupos ambientales. Abarcando más de una década de observaciones, el conjunto documenta la morfología de las playas, la erosión y acreción, la composición, los desechos, las actividades humanas, la calidad del agua, las olas y corrientes, la vegetación y la fauna. Cada registro refleja la participación activa de las comunidades locales en la recopilación de datos y el cuidado ambiental, fortaleciendo la conciencia y la resiliencia de los ecosistemas costeros, especialmente en los Pequeños Estados Insulares en Desarrollo (PEID) y regiones costeras bajas. La estructura de los datos sigue la metodología de Sandwatch (Monitorear, Analizar, Compartir y Actuar – MAST) y está alineada con los marcos de la UNESCO sobre Educación para el Desarrollo Sostenible (EDS) y adaptación al cambio climático. Este recurso interdisciplinario integra dimensiones ambientales, sociales y educativas del cambio costero, siendo de gran valor para la investigación, la educación y la formulación de políticas sobre resiliencia costera y monitoreo participativo.
Le Jeu de Données Mondial Sandwatch regroupe les observations participatives recueillies dans le cadre du Programme Sandwatch de l’UNESCO, une initiative mondiale de science citoyenne et d’éducation visant à promouvoir l’adaptation au changement climatique et la gestion durable des zones côtières. Ce jeu de données comprend des mesures standardisées provenant de 145 plages réparties dans plus de 50 pays, collectées par plus de 300 observateurs communautaires, écoles et groupes environnementaux. S’étalant sur plus d’une décennie, il documente la morphologie des plages, l’érosion et l’accrétion, la composition, les déchets, les activités humaines, la qualité de l’eau, les vagues et courants, la végétation et la faune. Chaque enregistrement illustre l’engagement des communautés locales dans la collecte de données et la protection de l’environnement, renforçant la sensibilisation et la résilience des écosystèmes côtiers, notamment dans les Petits États Insulaires en Développement (PEID) et les zones côtières vulnérables. La structure des données suit la méthodologie Sandwatch (Observer, Analyser, Partager et Agir – MAST) et s’aligne sur les cadres de l’UNESCO en matière d’Éducation en vue du Développement Durable (EDD) et d’adaptation au changement climatique. Ce jeu de données constitue une ressource interdisciplinaire unique intégrant les dimensions environnementales, sociales et éducatives des changements côtiers, utile pour la recherche, l’éducation et la planification de politiques en matière de résilience et de suivi participatif des zones côtières.
Geological map of Somalia - 1:1,500,000
This dataset represents the digitized version of the Geological Map of Somalia (scale 1:1,500,000), compiled between 1987 and 1991 and printed in 1994. The map was edited and coordinated by E. Abbate, M. Sagri, and F.P. Sassi, with contributions from the Faculty of Geology, Somali National University (Mogadishu) and the Universities of Florence and Padua, Italy, along with several Somali and international collaborators. The map provides a comprehensive overview of Somalia’s geological formations, stratigraphy, and structural features, covering the Gulf of Aden margin, central basins, and the Indian Ocean coastal belt. Lithological units range from Precambrian crystalline complexes to recent Quaternary deposits, with detailed symbology distinguishing volcanic, sedimentary, and metamorphic sequences. The original map also incorporates tectonic structures, fault systems, and stratigraphic cross-sections that are not included in the SHP file, but the original map is provided georeferenced in EPSG:32638 - WGS 84 / UTM zone 38N. The digitization process involved georeferencing, vectorization, and attribute assignment of geological units and structures to enable spatial analysis within modern GIS environments. This dataset supports research and decision-making in natural resource management, groundwater assessment, mineral exploration, land-use planning, and academic studies. During the digitization process, the original projection of the map was not specified, requiring approximate control points for georeferencing. As a result, minor distortions may remain, and the spatial alignment is not perfectly accurate.
Este conjunto de datos representa la versión digitalizada del Mapa geológico de Somalia (escala 1:1.500.000), compilado entre 1987 y 1991 e impreso en 1994. El mapa fue editado y coordinado por E. Abbate, M. Sagri y F.P. Sassi, con contribuciones de la Facultad de Geología de la Universidad Nacional Somalí (Mogadiscio) y de las universidades de Florencia y Padua (Italia), junto con varios colaboradores somalíes e internacionales. El mapa ofrece una visión completa de las formaciones geológicas, la estratigrafía y las estructuras de Somalia, abarcando el margen del Golfo de Adén, las cuencas centrales y la franja costera del océano Índico. Las unidades litológicas van desde complejos cristalinos precámbricos hasta depósitos cuaternarios recientes, con una simbología detallada que distingue secuencias volcánicas, sedimentarias y metamórficas. El mapa original también incluye estructuras tectónicas, sistemas de fallas y cortes estratigráficos que no están presentes en el archivo SHP, pero se proporciona georreferenciado en EPSG:32638 – WGS 84 / UTM zona 38N. El proceso de digitalización incluyó georreferenciación, vectorización y asignación de atributos a las unidades y estructuras geológicas para permitir análisis espaciales en entornos SIG modernos. Este conjunto de datos apoya la investigación y la toma de decisiones en la gestión de recursos naturales, la evaluación de aguas subterráneas, la exploración minera, la planificación territorial y los estudios académicos. Durante la digitalización, la proyección original del mapa no fue especificada, lo que requirió el uso de puntos de control aproximados para la georreferenciación. Como resultado, pueden persistir pequeñas distorsiones y la alineación espacial no es perfectamente precisa.
Ce jeu de données représente la version numérisée de la Carte géologique de la Somalie (échelle 1:1 500 000), compilée entre 1987 et 1991 et imprimée en 1994. La carte a été éditée et coordonnée par E. Abbate, M. Sagri et F.P. Sassi, avec la contribution de la Faculté de géologie de l’Université nationale somalienne (Mogadiscio) ainsi que des universités de Florence et de Padoue (Italie), en collaboration avec plusieurs partenaires somaliens et internationaux. Elle offre une vue d’ensemble complète des formations géologiques, de la stratigraphie et des structures de la Somalie, couvrant la marge du golfe d’Aden, les bassins centraux et la bande côtière de l’océan Indien. Les unités lithologiques vont des complexes cristallins précambriens aux dépôts quaternaires récents, avec une symbologie détaillée distinguant les séquences volcaniques, sédimentaires et métamorphiques. La carte originale intègre également des structures tectoniques, des systèmes de failles et des coupes stratigraphiques qui ne sont pas inclus dans le fichier SHP, mais elle est fournie géoréférencée en EPSG:32638 – WGS 84 / UTM zone 38N. Le processus de numérisation a impliqué le géoréférencement, la vectorisation et l’attribution des attributs aux unités et structures géologiques afin de permettre des analyses spatiales dans des environnements SIG modernes. Ce jeu de données soutient la recherche et la prise de décision dans la gestion des ressources naturelles, l’évaluation des eaux souterraines, l’exploration minière, l’aménagement du territoire et les études académiques. Au cours de la numérisation, la projection originale de la carte n’étant pas spécifiée, des points de contrôle approximatifs ont été utilisés pour le géoréférencement. Par conséquent, de légères distorsions peuvent subsister et l’alignement spatial n’est pas parfaitement précis.
IHP-WINS Presentations
This dataset contains a collection of presentations delivered by UNESCO’s Intergovernmental Hydrological Programme (IHP) to a variety of audiences—including IHP National Committees, project teams, Member States, and regional stakeholders—on the IHP-WINS (Water Information Network System) platform. The presentations aim to raise awareness of IHP-WINS as a central hub for hydrological, climatic, and contextual data, supporting evidence-based decision-making, digital transformation, and open science. Each presentation is tailored to the specific audience, highlighting relevant use cases, data management workflows, visualization tools, governance structures, and opportunities for collaboration. The dataset provides an overview of how IHP-WINS is positioned within UNESCO’s water programmes to enhance interoperability, promote data sharing, and support the implementation of IHP-IX priorities at national, regional, and project levels.
Suitability maps of Managed Aquifer Recharge (MAR), North Kenya
Mapas de idoneidad de la Recarga Gestionada de Acuíferos (MAR), Norte de Kenia
Cartes d’adéquation de la Recharge Gérée des Aquifères (MAR), Nord du Kenya
The MAR Portal contains the Global MAR Inventory, an inventory of over 1200 sites where Managed Aquifer Recharge is or has been implemented. The Global MAR Inventory includes information on site name, MAR type, year of scheme deployment, the source of infiltration water, the final use of abstracted water, as well as the main objectives of the project. This dataset presents a MAR suitability map for North Kenya, developed by Acacia Water (2013). The study evaluates hydrogeological, climatic, and land use conditions to identify areas suitable for MAR implementation across the region. The dataset provides geospatial information that can support water resources planning, groundwater recharge strategies, and climate change adaptation measures in North Kenya. It is part of the global collection of MAR suitability assessments compiled by IGRAC. If you would like to contribute data to the MAR portal, please contact us at info@un-igrac.org.
El Portal MAR contiene el Inventario Global de MAR, un inventario de más de 1200 sitios donde la Recarga Gestionada de Acuíferos (MAR) está o ha sido implementada. El Inventario Global de MAR incluye información sobre el nombre del sitio, el tipo de MAR, el año de implementación del esquema, la fuente de agua de infiltración, el uso final del agua extraída, así como los principales objetivos del proyecto. Este conjunto de datos presenta un mapa de idoneidad de MAR para el Norte de Kenia, desarrollado por Acacia Water (2013). El estudio evalúa las condiciones hidrogeológicas, climáticas y de uso del suelo para identificar áreas adecuadas para la implementación de MAR en la región. El conjunto de datos proporciona información geoespacial que puede apoyar la planificación de los recursos hídricos, las estrategias de recarga de acuíferos y las medidas de adaptación al cambio climático en el Norte de Kenia. Forma parte de la colección global de evaluaciones de idoneidad de MAR compiladas por IGRAC. Si desea contribuir con datos al portal MAR, por favor contáctenos en info@un-igrac.org.
Le Portail MAR contient l’Inventaire Mondial de MAR, un inventaire de plus de 1200 sites où la Recharge Gérée des Aquifères (MAR) est ou a été mise en œuvre. L’Inventaire Mondial de MAR comprend des informations sur le nom du site, le type de MAR, l’année de mise en place du dispositif, la source d’eau d’infiltration, l’utilisation finale de l’eau prélevée, ainsi que les principaux objectifs du projet. Ce jeu de données présente une carte d’adéquation pour la MAR au Nord du Kenya, développée par Acacia Water (2013). L’étude évalue les conditions hydrogéologiques, climatiques et d’occupation des sols afin d’identifier les zones adaptées à la mise en œuvre de la MAR dans la région. Le jeu de données fournit des informations géospatiales pouvant soutenir la planification des ressources en eau, les stratégies de recharge des nappes et les mesures d’adaptation au changement climatique au Nord du Kenya. Il fait partie de la collection mondiale des évaluations d’adéquation de la MAR compilées par l’IGRAC. Si vous souhaitez contribuer avec des données au portail MAR, veuillez nous contacter à info@un-igrac.org.
Suitability maps of Managed Aquifer Recharge (MAR), Spain
Mapas de idoneidad de la Recarga Gestionada de Acuíferos (MAR), España
Cartes d’adéquation de la Recharge Gérée des Aquifères (MAR), Espagne
The MAR Portal contains the Global MAR Inventory, an inventory of over 1200 sites where Managed Aquifer Recharge is or has been implemented. The Global MAR Inventory includes information on site name, MAR type, year of scheme deployment, the source of infiltration water, the final use of abstracted water, as well as the main objectives of the project. This dataset presents a MAR suitability map for Spain, developed under the DinaMAR project (2010). The study evaluates hydrogeological, climatic, and land use conditions to identify areas suitable for MAR implementation across the country. The dataset provides geospatial information that can support water resources planning, groundwater recharge strategies, and climate change adaptation measures in Spain. It is part of the global collection of MAR suitability assessments compiled by IGRAC. If you would like to contribute data to the MAR portal, please contact us at info@un-igrac.org.
El Portal MAR contiene el Inventario Global de MAR, un inventario de más de 1200 sitios donde la Recarga Gestionada de Acuíferos (MAR) está o ha sido implementada. El Inventario Global de MAR incluye información sobre el nombre del sitio, el tipo de MAR, el año de implementación del esquema, la fuente de agua de infiltración, el uso final del agua extraída, así como los principales objetivos del proyecto. Este conjunto de datos presenta un mapa de idoneidad de MAR para España, desarrollado en el marco del proyecto DinaMAR (2010). El estudio evalúa las condiciones hidrogeológicas, climáticas y de uso del suelo para identificar áreas adecuadas para la implementación de MAR en todo el país. El conjunto de datos proporciona información geoespacial que puede apoyar la planificación de los recursos hídricos, las estrategias de recarga de acuíferos y las medidas de adaptación al cambio climático en España. Forma parte de la colección global de evaluaciones de idoneidad de MAR compiladas por IGRAC. Si desea contribuir con datos al portal MAR, por favor contáctenos en info@un-igrac.org.
Le Portail MAR contient l’Inventaire Mondial de MAR, un inventaire de plus de 1200 sites où la Recharge Gérée des Aquifères (MAR) est ou a été mise en œuvre. L’Inventaire Mondial de MAR comprend des informations sur le nom du site, le type de MAR, l’année de mise en place du dispositif, la source d’eau d’infiltration, l’utilisation finale de l’eau prélevée, ainsi que les principaux objectifs du projet. Ce jeu de données présente une carte d’adéquation pour la MAR en Espagne, développée dans le cadre du projet DinaMAR (2010). L’étude évalue les conditions hydrogéologiques, climatiques et d’occupation des sols afin d’identifier les zones adaptées à la mise en œuvre de la MAR dans l’ensemble du pays. Le jeu de données fournit des informations géospatiales pouvant soutenir la planification des ressources en eau, les stratégies de recharge des nappes et les mesures d’adaptation au changement climatique en Espagne. Il fait partie de la collection mondiale des évaluations d’adéquation de la MAR compilées par l’IGRAC. Si vous souhaitez contribuer avec des données au portail MAR, veuillez nous contacter à info@un-igrac.org.
Suitability maps of Managed Aquifer Recharge (MAR), Jordan
Mapas de idoneidad de la Recarga Gestionada de Acuíferos (MAR), Jordania
Cartes d’adéquation de la Recharge Gérée des Aquifères (MAR), Jordanie
The MAR Portal contains the Global MAR Inventory, an inventory of over 1200 sites where Managed Aquifer Recharge is or has been implemented. The Global MAR Inventory includes information on site name, MAR type, year of scheme deployment, the source of infiltration water, the final use of abstracted water, as well as the main objectives of the project. This dataset presents a MAR suitability map for Jordan, developed by Steinel et al. (2016). The study evaluates hydrogeological, climatic, and land use conditions to identify areas suitable for MAR implementation across the country. The dataset provides geospatial information that can support water resources planning, groundwater recharge strategies, and climate change adaptation measures in Jordan. It is part of the global collection of MAR suitability assessments compiled by IGRAC. If you would like to contribute data to the MAR portal, please contact us at info@un-igrac.org.
El Portal MAR contiene el Inventario Global de MAR, un inventario de más de 1200 sitios donde la Recarga Gestionada de Acuíferos (MAR) está o ha sido implementada. El Inventario Global de MAR incluye información sobre el nombre del sitio, el tipo de MAR, el año de implementación del esquema, la fuente de agua de infiltración, el uso final del agua extraída, así como los principales objetivos del proyecto. Este conjunto de datos presenta un mapa de idoneidad de MAR para Jordania, desarrollado por Steinel et al. (2016). El estudio evalúa las condiciones hidrogeológicas, climáticas y de uso del suelo para identificar áreas adecuadas para la implementación de MAR en todo el país. El conjunto de datos proporciona información geoespacial que puede apoyar la planificación de los recursos hídricos, las estrategias de recarga de acuíferos y las medidas de adaptación al cambio climático en Jordania. Forma parte de la colección global de evaluaciones de idoneidad de MAR compiladas por IGRAC. Si desea contribuir con datos al portal MAR, por favor contáctenos en info@un-igrac.org.
Le Portail MAR contient l’Inventaire Mondial de MAR, un inventaire de plus de 1200 sites où la Recharge Gérée des Aquifères (MAR) est ou a été mise en œuvre. L’Inventaire Mondial de MAR comprend des informations sur le nom du site, le type de MAR, l’année de mise en place du dispositif, la source d’eau d’infiltration, l’utilisation finale de l’eau prélevée, ainsi que les principaux objectifs du projet. Ce jeu de données présente une carte d’adéquation pour la MAR en Jordanie, développée par Steinel et al. (2016). L’étude évalue les conditions hydrogéologiques, climatiques et d’occupation des sols afin d’identifier les zones adaptées à la mise en œuvre de la MAR dans l’ensemble du pays. Le jeu de données fournit des informations géospatiales pouvant soutenir la planification des ressources en eau, les stratégies de recharge des nappes et les mesures d’adaptation au changement climatique en Jordanie. Il fait partie de la collection mondiale des évaluations d’adéquation de la MAR compilées par l’IGRAC. Si vous souhaitez contribuer avec des données au portail MAR, veuillez nous contacter à info@un-igrac.org.
Suitability maps of Managed Aquifer Recharge (MAR), South Africa
Mapas de idoneidad de la Recarga Gestionada de Acuíferos (MAR), Sudáfrica
Cartes d’adéquation de la Recharge Gérée des Aquifères (MAR), Afrique du Sud
The MAR Portal contains the Global MAR Inventory, an inventory of over 1200 sites where Managed Aquifer Recharge is or has been implemented. The Global MAR Inventory includes information on site name, MAR type, year of scheme deployment, the source of infiltration water, the final use of abstracted water, as well as the main objectives of the project. This dataset presents a MAR suitability map for South Africa, developed by Department Water Affairs (2009). The study evaluates hydrogeological, climatic, and land use conditions to identify areas suitable for MAR implementation across the country. The dataset provides geospatial information that can support water resources planning, groundwater recharge strategies, and climate change adaptation measures in South Africa. It is part of the global collection of MAR suitability assessments compiled by IGRAC. If you would like to contribute data to the MAR portal, please contact us at info@un-igrac.org.
El Portal MAR contiene el Inventario Global de MAR, un inventario de más de 1200 sitios donde la Recarga Gestionada de Acuíferos (MAR) se ha implementado o se está implementando. El Inventario Global de MAR incluye información sobre el nombre del sitio, el tipo de MAR, el año de implementación del esquema, la fuente de agua de infiltración, el uso final del agua extraída, así como los principales objetivos del proyecto. Este conjunto de datos presenta un mapa de idoneidad de MAR para Sudáfrica, desarrollado por el Department Water Affairs (2009). El estudio evalúa las condiciones hidrogeológicas, climáticas y de uso del suelo para identificar las áreas adecuadas para la implementación de MAR en todo el país. El conjunto de datos proporciona información geoespacial que puede apoyar la planificación de los recursos hídricos, las estrategias de recarga de acuíferos y las medidas de adaptación al cambio climático en Sudáfrica. Forma parte de la colección global de evaluaciones de idoneidad de MAR compiladas por IGRAC. Si desea contribuir con datos al portal MAR, contáctenos en info@un-igrac.org.
Le Portail MAR contient l’Inventaire Mondial de la MAR, un inventaire de plus de 1200 sites où la Recharge Gérée des Aquifères (MAR) est ou a été mise en œuvre. L’Inventaire Mondial de la MAR inclut des informations sur le nom du site, le type de MAR, l’année de mise en place du dispositif, la source de l’eau d’infiltration, l’utilisation finale de l’eau prélevée, ainsi que les principaux objectifs du projet. Ce jeu de données présente une carte d’aptitude à la MAR pour l’Afrique du Sud, développée par le Department Water Affairs (2009). L’étude évalue les conditions hydrogéologiques, climatiques et d’utilisation des sols afin d’identifier les zones appropriées pour la mise en œuvre de la MAR dans le pays. Le jeu de données fournit des informations géospatiales pouvant soutenir la planification des ressources en eau, les stratégies de recharge des aquifères et les mesures d’adaptation au changement climatique en Afrique du Sud. Il fait partie de la collection mondiale d’évaluations de l’aptitude à la MAR compilées par l’IGRAC. Si vous souhaitez contribuer avec des données au portail MAR, veuillez nous contacter à info@un-igrac.org.
Global Inventory of Managed Aquifer Recharge (MAR)
Inventario Global de la Recarga Gestionada de Acuíferos
Inventaire Mondial de la Recharge Contrôlée des Aquifères
The MAR Portal contains the Global MAR Inventory, an inventory of over 1200 sites where Managed Aquifer Recharge is or has been implemented. The Global MAR Inventory includes information on site name, MAR type, year of scheme deployment, the source of infiltration water, the final use of abstracted water, as well as the main objectives of the project. The data shown in this portal have been made available by INOWAS (TU Dresden, Germany and funded by the German Federal Ministry of Education and Research) and the DEMEAU project (European Union FP7 project consortium). More information on the Global MAR Inventory project and its partners can be found or in the following publication: Stefan C. & Ansems N. (2017) Web-based global inventory of managed aquifer recharge applications. Sustain. Water Resour. Manag. https://doi.org/10.1007/s40899-017-0212-6. The MAR Portal also contains a selection of regional MAR suitability maps, showing where MAR could be implemented. If you would like to contribute data to the MAR portal, please contact us at info@un-igrac.org.
El Portal MAR contiene el Inventario Global de la Recarga Gestionada de Acuíferos (MAR), un inventario de más de 1200 sitios donde se ha implementado o se está implementando la recarga gestionada de acuíferos. El Inventario Global de MAR incluye información sobre el nombre del sitio, el tipo de MAR, el año de implementación del esquema, la fuente del agua de infiltración, el uso final del agua extraída, así como los principales objetivos del proyecto. Los datos mostrados en este portal han sido proporcionados por INOWAS (TU Dresden, Alemania, con financiación del Ministerio Federal de Educación e Investigación de Alemania) y el proyecto DEMEAU (consorcio del proyecto del 7º Programa Marco de la Unión Europea). Puede encontrar más información sobre el proyecto del Inventario Global de MAR y sus socios en la siguiente publicación: Stefan C. & Ansems N. (2017) Inventario global basado en la web de aplicaciones de recarga gestionada de acuíferos. Sustainable Water Resources Management. https://doi.org/10.1007/s40899-017-0212-6 El Portal MAR también contiene una selección de mapas regionales de idoneidad para MAR, que muestran dónde se podría implementar esta técnica. Si desea contribuir con datos al portal MAR, por favor contáctenos en info@un-igrac.org.
Le Portail MAR contient l’Inventaire Mondial de la Recharge Contrôlée des Aquifères (MAR), un inventaire de plus de 1200 sites où la recharge contrôlée des aquifères a été mise en œuvre ou est actuellement en cours. L’Inventaire Mondial de MAR inclut des informations telles que le nom du site, le type de MAR, l’année de mise en œuvre du système, la source de l’eau d’infiltration, l’usage final de l’eau extraite, ainsi que les principaux objectifs du projet. Les données présentées sur ce portail ont été fournies par INOWAS (TU Dresde, Allemagne, financé par le Ministère fédéral allemand de l'Éducation et de la Recherche) et le projet DEMEAU (consortium du 7e programme-cadre de l'Union européenne). Pour plus d'informations sur le projet de l’Inventaire Mondial de MAR et ses partenaires, veuillez consulter la publication suivante : Stefan C. & Ansems N. (2017) Inventaire mondial en ligne des applications de recharge contrôlée des aquifères. Sustainable Water Resources Management. https://doi.org/10.1007/s40899-017-0212-6 Le Portail MAR comprend également une sélection de cartes régionales d’adéquation pour la MAR, indiquant les zones où cette technique pourrait être appliquée. Si vous souhaitez contribuer avec des données au portail MAR, veuillez nous contacter à info@un-igrac.org.
Solar Chapter - Citizen Science 'Mengalir.co' Dataset
This dataset, compiled by Solar Chapter's Mengalir.co initiative, provides essential information on water infrastructure and access across 22 regencies in Indonesia's East Nusa Tenggara province. The data captures key water access metrics, infrastructure status, and demographic information to support water resource management, development planning, and humanitarian efforts in this semi-arid region. The dataset includes geospatial coordinates, administrative divisions, population demographics, water facility operations, access metrics, infrastructure types, water sources, and management entities for each regency. The data synthesizes information from national and local government records, community participatory reports, and partner organization databases in an accessible CSV format for stakeholders addressing regional water challenges. This collection effort aims to support better planning and implementation of water solutions in East Nusa Tenggara, where many communities experience seasonal water shortages.
Este conjunto de datos, recopilado por la iniciativa Mengalir.co de Solar Chapter, proporciona información esencial sobre la infraestructura y el acceso al agua en 22 regencias de la provincia de Nusa Tenggara Oriental, en Indonesia. Los datos recogen indicadores clave de acceso al agua, el estado de la infraestructura y la información demográfica para apoyar la gestión de los recursos hídricos, la planificación del desarrollo y los esfuerzos humanitarios en esta región semiárida. El conjunto de datos incluye coordenadas geoespaciales, divisiones administrativas, demografía poblacional, funcionamiento de las instalaciones de agua, métricas de acceso, tipos de infraestructura, fuentes de agua y entidades de gestión para cada regencia. La información sintetiza registros de gobiernos nacionales y locales, informes participativos comunitarios y bases de datos de organizaciones asociadas en un formato CSV accesible para las partes interesadas que abordan los desafíos regionales relacionados con el agua. Este esfuerzo de recopilación tiene como objetivo apoyar una mejor planificación e implementación de soluciones hídricas en Nusa Tenggara Oriental, donde muchas comunidades enfrentan escasez de agua estacional.
Ce jeu de données, compilé par l’initiative Mengalir.co de Solar Chapter, fournit des informations essentielles sur les infrastructures et l’accès à l’eau dans 22 régences de la province de Nusa Tenggara Est, en Indonésie. Les données rassemblent des indicateurs clés d’accès à l’eau, l’état des infrastructures et des informations démographiques afin de soutenir la gestion des ressources en eau, la planification du développement et les efforts humanitaires dans cette région semi-aride. Le jeu de données inclut des coordonnées géospatiales, des divisions administratives, des données démographiques, le fonctionnement des installations d’eau, des indicateurs d’accès, des types d’infrastructures, des sources d’eau et les entités de gestion pour chaque régence. Les données synthétisent des informations provenant des registres des gouvernements nationaux et locaux, des rapports participatifs communautaires et des bases de données d’organisations partenaires, dans un format CSV accessible aux parties prenantes confrontées aux défis régionaux liés à l’eau. Cet effort de collecte vise à appuyer une meilleure planification et mise en œuvre de solutions hydriques à Nusa Tenggara Est, où de nombreuses communautés connaissent des pénuries d’eau saisonnières.
Dry and seasonal boreholes and wells - Madagascar
Satellite detected water extents in Sindh, Balochistan and Punjab Provinces, Pakistan (1 - 31 July 2025)
This map illustrates the satellite-detected water extent in Sindh, Balochistan, and Punjab Provinces, Pakistan, as observed from Sentinel-2 satellite images acquired on 31 July 2025 at 13:02 local time (08:02 UTC). Within the analyzed area of approximately 83,000 km², about 6,300 km² of land appears to be affected by floodwaters. The floodwater extent appears to have increased by approximately 1,300 km² since 11 July 2025. Based on WorldPop population data and the flood extent, approximately 2.3 million people are potentially exposed or living close to the flooded areas.
Flood impact assessment in Sao Vicente, Cabo Verde (13-16 August 2025)
This dataset illustrates satellite-detected mudflow extent in Sao Vicente, Cabo Verde as observed from Pleiades very high-resolution satellite image. About 12 km² of land appears to be affected by the flood / mudflow extent. UNOSAT identified around 4200 affected buildings with around 12600 people potentially affected. In addition, approximately 80 km of roads with 5 bridges were affected. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
Flood impact assessment in Santo Antao, Cabo Verde (13-16 August 2025)
This dataset illustrates satellite-detected mudflow extent in Santo Antao, Cabo Verde as observed from Pleiades very high-resolution satellite image. About 4 km² of land appears to be affected by the flood / mudflow extent. UNOSAT identified less than 460 affected buildings with less than 1000 people potentially affected. In addition, approximately 5 km of roads with 2 bridges were affected. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
Flood Exposure Maps for Buzi-Pungwe-Save (BuPuSa) Transboundary River Basins
OpenLISEM is an open-source hydrological model suited for the simulation of floods, flash floods and erosion events. The following sections provide an overview of the results from the OpenLISEM model used in the exposure mapping A 30x30m flood map (maximum flood height) for the BuPuSa region was developed for several points on the intensity-frequency-duration curve. This curve represents the extreme value analysis (EVA) for the rainfall across the BuPuSa area. Based on 50 years of historic rainfall data from TAMSAT the EVA is developed for a 1000 year period. From this different rainfall intensities area taken which are referred to at the return period. The statistical possibility of a certain rainfall intensity to happen once in X many years. Flood maps were developed for the following return periods: 1/2, 1/10, 1/50, 1/100 and 1/1000. In addition to 5 different return periods, two different scenarios were modeled. A short high intensity rainfall event that typically causes flash floods, and a longer term lower intensity rainfall event that typically causes fluvial (river) floods. These events were represented by respectively a 6h rainfall event and a 14 day rainfall event. As a result 10 different flood maps were developed.
Intergovernmental Hydrological Programme UNESCO
Randolph Glacier Inventory - A Dataset of Global Glacier Outlines
The Randolph Glacier Inventory (RGI) is a global set of glacier outlines intended as a snapshot of the world’s glaciers outside of ice sheets. It provides a single outline for each glacier from approximately the year 2000, as well as a set of attributes and other relevant auxiliary information. Glacier outlines are distributed as Shapefiles. Hypsometric data and attributes (CSV files) and metadata (json) are also available. All RGI data are packaged both globally and by region (as defined by the Global Terrestrial Network for Glaciers (GTN-G) Glacier Regions). The RGI is not suitable for measuring glacier-by-glacier rates of area change. However, it can be used to estimate glacier volumes; rates of elevation change at regional and global scales; and glacier responses to climatic forcing. RGI version 7.0 was developed by the “Working Group on the Randolph Glacier Inventory (RGI) and its role in future glacier monitoring” of the International Association of Cryospheric Sciences (IACS). The glaciological community contributes glacier mapping data to the Global Land Ice Measurements from Space (GLIMS) database. A subset of the glacier outlines in GLIMS are then extracted and reprocessed to produce the RGI. See the RGI documentation under "User Guide" (below) for more information.
Changes for this version include: Updated inventory data substantially improves outline quality in many regions. New attributes added, others removed or renamed/redefined.New "glacier complex" product provides outlines for contiguous glacier complexes.New shapefiles available with common boundaries of individual glaciers (“intersects”) and glacier centerlines (“centerlines”). All outlines and attributes derived exclusively from GLIMS, using new largely automated workflow with publicly available code to ensure reproducibility. File naming conventions updated.
NASA National Snow and Ice Data Center Distributed Active Archive Center
TWAP Indicators for Small Island Development States
Indicadores de Aguas Subterráneas del TWAP para los Pequeños Estados Insulares en Desarrollo
Indicateurs des Eaux Souterraines du TWAP pour les Petits États Insulaires en Développement
The SIDS viewer provides groundwater related information on Small Island Developing States. At present the system contains mainly information derived from the Transboundary Waters Assessment Program (TWAP) on 43 SIDS. The data include indicators describing the hydrogeological, environmental, socio-economic and governance dimensions of the SIDS groundwater systems. The data have been derived from questionnaire surveys and an extensive desk-top study executed by the Simon Frasier University (Canada) and coordinated by UNESCO-IHP. Data in the system can be explored and analysed using a map based viewer, which is particularly useful to make comparative analyses of multiple SIDS. Additionally SIDS information sheets are also available providing clear overviews per SIDS. Further data on SIDS will be collected and uploaded into the SIDS viewer as they become available. For any queries or comments on the SIDS data and information, please visit our SIDS Focal Area page. (https://www.un-igrac.org/areas-expertise/small-island-developing-states-sids)
El visor de SIDS proporciona información relacionada con las aguas subterráneas en los Pequeños Estados Insulares en Desarrollo. En la actualidad, el sistema contiene principalmente información derivada del Programa de Evaluación de Aguas Transfronterizas (TWAP) sobre 43 SIDS. Los datos incluyen indicadores que describen las dimensiones hidrogeológicas, ambientales, socioeconómicas y de gobernanza de los sistemas de aguas subterráneas de los SIDS. Los datos han sido obtenidos a partir de encuestas por cuestionario y un exhaustivo estudio documental realizado por la Universidad Simon Fraser (Canadá) y coordinado por UNESCO-IHP. La información en el sistema puede ser explorada y analizada mediante un visor basado en mapas, lo que resulta particularmente útil para realizar análisis comparativos entre múltiples SIDS. Además, también están disponibles fichas informativas de los SIDS que proporcionan resúmenes claros por cada SIDS. Se recopilarán y cargarán más datos sobre los SIDS en el visor a medida que estén disponibles. Para cualquier consulta o comentario sobre los datos e información de los SIDS, por favor visite nuestra página del Área Focal de SIDS. (https://www.un-igrac.org/areas-expertise/small-island-developing-states-sids)
Le visualiseur des PEID fournit des informations sur les eaux souterraines dans les Petits États Insulaires en Développement. Actuellement, le système contient principalement des données issues du Programme d'Évaluation des Eaux Transfrontalières (TWAP) sur 43 PEID. Ces données comprennent des indicateurs décrivant les dimensions hydrogéologiques, environnementales, socio-économiques et de gouvernance des systèmes d’eaux souterraines des PEID. Les données ont été recueillies à partir d'enquêtes par questionnaire et d'une étude approfondie réalisée par l'Université Simon Fraser (Canada) et coordonnée par l'UNESCO-IHP. Les informations du système peuvent être explorées et analysées grâce à un visualiseur cartographique, particulièrement utile pour effectuer des analyses comparatives entre plusieurs PEID. De plus, des fiches d'information sur les PEID sont également disponibles, offrant des aperçus clairs pour chaque PEID. Des données supplémentaires seront collectées et intégrées au visualiseur des PEID au fur et à mesure de leur disponibilité. Pour toute question ou commentaire sur les données et informations des PEID, veuillez consulter notre page de l’Espace Focal PEID (https://www.un-igrac.org/areas-expertise/small-island-developing-states-sids)
Man and Biosphere Reserves Around The World
Composed of 669 biosphere reserves in 120 countries, including 16 transboundary sites, the World Network of Biosphere Reserves (WNBR) of the UNESCO Man And Biosphere (MAB) Programme consists of a dynamic and interactive network of sites of excellence. It works to foster the harmonious integration of people and nature for sustainable development through participatory dialogue, knowledge sharing, poverty reduction, human well-being improvements, respect for cultural values and by improving society’s ability to cope with climate change.For more information, visit: http://www.unesco.org/new/en/natural-sciences/environment/ecological-sciences/man-and-biosphere-programme/
The Global Lakes and Wetlands Database (GLWD)
The Global Lakes and Wetlands Database (GLWD) version 2 provides a comprehensive and seamless global map of inland surface waters distinguished into 33 waterbody and wetland types. GLWD v2 was developed by harmonizing the best available ground- and satellite-based data sources and has been designed to represent the maximum non-overlapping extents of aquatic ecosystems over the broad contemporary period of 1990-2020. GLWD v2 represents a total of 18.2 million km2 of wetlands at a grid cell resolution of 15 arc-seconds (approximately 500 m at the equator). The data consist of a map of the dominant waterbody or wetland type in each grid cell, as well as 33 individual class layers which represent the sub-cell fraction of each specific class within each grid cell. Version 2 of GLWD (Lehner et al., 2025) is the successor of the widely-used GLWD version 1 (Lehner & Döll, 2004). The quality, resolution, and format of GLWD v2 significantly improves upon GLWD v1 and supersedes the older version.
Randolph Glacier Inventory (RGI 7.0) - Glacier Product
The Randolph Glacier Inventory (RGI) is a globally complete inventory of glacier outlines (excluding the ice sheets in Greenland and Antarctica). It is a subset of the database compiled by the Global Land Ice Measurements from Space (GLIMS) initiative. While GLIMS is a multi-temporal database with an extensive set of attributes, the RGI is intended to be a snapshot of the world’s glaciers at a specific target date, which in RGI 7.0 and all previous versions has been set as close as possible to the year 2000 (although in fact its range of dates can still be substantial in some regions). The RGI includes outlines of all glaciers larger than 0.01 km², which is the recommended minimum of the World Glacier Inventory. The RGI was not designed for the measurement of glacier-by-glacier rates of area change, for which the greatest possible accuracy in dating, delineation and georeferencing is essential. While many RGI outlines meet these requirements, the primary focus of the RGI is on achieving global coverage, consistency, and proximity in a specific year. The strength of the RGI lies in its ability to handle large numbers of glaciers simultaneously. This allows, for example, for the estimation of glacier volumes and rates of elevation change at regional and global scales, as well as the simulation of cryospheric responses to climatic forcing. Who develops and hosts the RGI? The RGI has been developed in an international community-driven effort of glaciologists starting in 2010. The inventory was named after “Randolph”, a town in New Hampshire, USA, where the team met for one of their meetings [Pfeffer et al., 2014]. In 2014 development of the RGI became the responsibility of the Working Group on the Randolph Glacier Inventory and Infrastructure for Glacier Monitoring, which operated under the International Association of Cryospheric Sciences (IACS). In 2019, a new Working Group was established to build upon the previous achievements and further expand its objectives: the IACS Working Group on the Randolph Glacier Inventory (RGI) and its role in future glacier monitoring and GLIMS. The RGI datasets are listed on glims.org, and the RGI files can be downloaded through the data portal at the National Snow and Ice Data Center (NSIDC), which is the host for GLIMS. __Glacier product: includes outlines, attributes and auxiliary data for each individual glacier.__
Version 7.0, released in September 2023, comes with major outline quality improvements in nearly all RGI regions. In addition new products are available including, for example, outlines of glacier complexes and glacier centerlines. Furthermore, the RGI production has been entirely redesigned to use GLIMS as the sole source of data. The file generation process is now largely automated, extracting from GLIMS the outlines closest to the target date while also relying on expert judgment for the exact choice of available outlines. Open source scripts are used for all dataset creation steps. The file naming convention and attributes have changed substantially, requiring users of previous versions to adapt their data analysis workflow (see General revisions in RGI 7.0 for more details).
World Heritage Site List
The World Heritage List includes 1248 properties forming part of the cultural and natural heritage which the World Heritage Committee considers as having outstanding universal value. These include 972 cultural, 235 natural and 41 mixed properties in 170 States Parties. As of October 2024, 196 States Parties have ratified the World Heritage Convention.
ROBIN Dataset
The Reference Observatory of Basins for INternational hydrological climate change detection (ROBIN) project established a new long-term collaboration of international experts to establish and sustain a global reference hydrological network (RHN), through common standards, protocols, indicators, and data infrastructure. ‘Reference Hydrometric Networks’ (RHNs), consist of gauging stations whose catchments are relatively undisturbed and record high quality data and little missing data. The concept of RHNs, their history and evolution are described in (Whitfield et al., 2012) previously and many countries have already established RHNs, however this is the first initiative to bring them together at a global level. The ROBIN Full Dataset consists of 3,060 stations in 30 countries, however the dataset described here is the ROBIN Public Dataset which contains metadata records for all 3,060 stations and daily streamflow data for a total of 2,386 stations. This tiered approached was due to data sharing restrictions in some countries. More information about the ROBIN Network and dataset can be found on the project website: https://www.ceh.ac.uk/our-science/projects/robin
Caravan CAMELS-CL
Caravan is an open community dataset of meteorological forcing data, catchment attributes, and discharge data for catchments around the world. Additionally, Caravan provides code to derive meteorological forcing data and catchment attributes in the cloud, making it easy for anyone to extend Caravan to new catchments. The vision of Caravan is to provide the foundation for a truly global open source community resource that will grow over time. The Caravan dataset that was released together with the paper. Since Version 1.6, the dataset is published in two different Zenodo repositories, depending on the filetype of the timeseries data.
Flood Impact Assessment Maps - Chimanimani and Chipinge Districts, Zimbabwe
Mapas de evaluación del impacto de las inundaciones – Distritos de Chimanimani y Chipinge, Zimbabue
Cartes d’évaluation de l’impact des inondations – Districts de Chimanimani et Chipinge, Zimbabwe
These maps, developed by Deltares, creat the flood impact of flood hazards expected in the Chimanimani and Chipinge Districts, Zimbabwe and are evaluated at 30m resolution.
Estos mapas, desarrollados por Deltares, representan el impacto de los peligros de inundación previstos en los distritos de Chimanimani y Chipinge, en Zimbabue, y han sido evaluados con una resolución de 30 metros.
Ces cartes, développées par Deltares, illustrent l’impact des aléas d’inondation attendus dans les districts de Chimanimani et de Chipinge, au Zimbabwe, et ont été évaluées à une résolution de 30 mètres.
VISUS assessment in Chimanimani
Outcome of the 'Visual Inspection for Defining the Safety Upgrading Strategies’ (VISUS) approach to assess the school safety in the Chimanimani District after the Cyclone Idai. A VISUS survey across 15 schools in the Chimanimani district was conducted to gauge rehabilitation needs and identify key areas to build resilience.
VISUS School Safety Assessment in Zimbabwe
Natural disasters frequently damage or destroy school infrastructure, jeopardizing educational opportunities and putting school children's lives in danger. This was experienced by children and staff members in Zimbabwe, Chimanimani and Chipinge districts in particular during cyclone Idai which hit eastern Zimbabwe in 2019 and the cyclones that followed. More than 140 schools were affected by the floods and the land slides. The situation at St. Charles Lwanga High School, where 200 children, teachers and support staff were stranded for two days and had to face the cyclone, shows the importance of safe school infrastructure. To better prepare for such eventualities, UNESCO through the Zimbabwe Idai Recovery Project funded by World Bank and managed by UNOPS collaborated with the University of Udine and the University of Zimbabwe to implement the VISUS (Visual Inspection for Defining the Safety Upgrading Strategies), a multi-hazard school safety assessment methodology that help policymakers decide where to focus risk reduction efforts based on available resources and scientific evidence. The VISUS methodology helps assess schools using a holistic, multi-hazard approach that considers five aspects: site conditions, structural performance, local structural criticalities, non-structural components, and functional aspects. The methodology has also been improved to consider outbreak of disease such as COVID-19. The VISUS methodology was conceived as an effective decision making tool for planning risk mitigation actions. The project helped mainstream school safety components into the UNOPS’ School Rehabilitation Program and could contribute to the Civil Protection Unit’s School Disaster Education Programme. The team’s efforts also assisted in making investments decisions to strengthen the safety of schools efficiently and economically.
Local Government, community development, governance, local councils, galga,
Local Government community development governance local councils galga,
Surface Water Monitoring Stations
test
Near Surface Soil Moisture and Temperature data - TOMST
Datos de humedad y temperatura del suelo cerca de la superficie.
Données sur l'humidité et la température du sol près de la surface
# About the data: This dataset consists of soil moisture and temperature measurements collected from TOMST (https://tomst.com/web/en/systems/tms/tms-4/) data loggers in several locations in Africa but also in Cuba. The dataset consists of three near-surface temperature measurements (12 cm ground surface (Temp: +12 cm), on the ground surface (Temp: 0 cm), and just below the surface (Temp: -6 cm). Measurements of soil moisture are collected at a depth of 15 cm below the ground using the Time Domain Transmittometry technique. The TOMST loggers record soil moisture measurements as raw electric signals, which have to be converted to volumetric soil moisture content by a calibration approach. At the moment, we have used a global calibration curve (independent of soil texture) as we calibrate the loggers for different textures. The dataset herein includes the raw sensor readings, which can be calibrated using the TMS calibration guide https://tomst.com/web/wp-content/uploads/2023/05/TMS-calibration-handbook.pdf # Utilization: The dataset is intended for applications in hydrology to monitor long-term soil moisture conditions, agricultural droughts (vegetation water deficit), validate soil moisture and evapotranspiration observations from remote sensing, and soil water balance models. In some cases, the data is also being used to assess the suitability of using this type of sensor for irrigation scheduling and water conservation. We have deployed these loggers to evaluate whether the fine resolution (250m) data from FAO’s Water Productivity through Open access of Remotely sensed derived data (WaPOR) can be used to contribute to relevant and timely drought monitoring at micro-scale, and how drought indices computed from WaPOR-data correspond to soil moisture trends at field scale.
Acerca del conjunto de datos: Este conjunto de datos consiste en mediciones de humedad del suelo y temperatura recolectadas de los registradores de datos TOMST (https://tomst.com/web/en/systems/tms/tms-4/) en varias ubicaciones en África y también en Cuba. El conjunto de datos incluye tres mediciones de temperatura cerca de la superficie (a 12 cm sobre la superficie del suelo (Temp: +12 cm), en la superficie del suelo (Temp: 0 cm) y justo debajo de la superficie (Temp: -6 cm)). Las mediciones de humedad del suelo se recopilan a una profundidad de 15 cm debajo del suelo utilizando la técnica de Transmisión de Dominio Temporal. Los registradores TOMST registran las mediciones de humedad del suelo como señales eléctricas en bruto, que deben convertirse en contenido de humedad del suelo volumétrico mediante un enfoque de calibración. Actualmente, hemos utilizado una curva de calibración global (independiente de la textura del suelo) mientras calibramos los registradores para diferentes texturas. El conjunto de datos aquí incluido contiene las lecturas sin procesar de los sensores, que pueden calibrarse utilizando la guía de calibración TMS https://tomst.com/web/wp-content/uploads/2023/05/TMS-calibration-handbook.pdf. Utilización: El conjunto de datos está destinado a aplicaciones en hidrología para monitorear condiciones de humedad del suelo a largo plazo, sequías agrícolas (déficit de agua en la vegetación), validar observaciones de humedad del suelo y evapotranspiración a partir de datos de teledetección, y modelos de balance hídrico del suelo. En algunos casos, los datos también se utilizan para evaluar la idoneidad de utilizar este tipo de sensor para la programación del riego y la conservación del agua. Hemos desplegado estos registradores para evaluar si los datos de alta resolución (250m) de Productividad del Agua a través del acceso abierto de datos derivados de teledetección de la FAO (WaPOR) pueden contribuir al monitoreo relevante y oportuno de sequías a microescala, y cómo los índices de sequía calculados a partir de datos de WaPOR corresponden a las tendencias de humedad del suelo a nivel de campo. Descripción de campos de datos: El conjunto de datos se proporciona como una serie temporal que contiene los siguientes campos de datos: Temp: -6 cm Temperatura del suelo medida por el registrador a 6 cm debajo de la superficie del suelo. Temp: 0 cm Temperatura del aire/suelo medida por el registrador en la superficie del suelo. Temp: +12 cm Temperatura del aire medida por el registrador a 12 cm sobre la superficie del suelo. Raw sensor reading Esta es la señal eléctrica de humedad del suelo medida por el sensor que debe convertirse en un valor de contenido de humedad del suelo volumétrico. Calibrated vmc Este es el contenido volumétrico de humedad obtenido al calibrar la lectura en bruto del sensor. Los valores se obtienen utilizando la ecuación de Kopecky et al., (2021) https://doi.org/10.1016/j.scitotenv.2020.143785. Logger_id El número de serie del registrador de datos. Latitude, Longitude Las coordenadas donde se encuentra el sensor. Date installed in the field: Fecha en la que se instaló el sensor en el campo.
Ce jeu de données comprend des mesures d'humidité du sol et de température collectées à l'aide des enregistreurs de données TOMST (https://tomst.com/web/en/systems/tms/tms-4/) dans plusieurs endroits en Afrique ainsi qu'à Cuba. Le jeu de données contient trois mesures de température proches de la surface : à 12 cm au-dessus de la surface du sol (Temp: +12 cm), à la surface du sol (Temp: 0 cm) et juste sous la surface (Temp: -6 cm). Les mesures d'humidité du sol sont recueillies à une profondeur de 15 cm sous le sol en utilisant la technique de Transmittance par Domaine Temporel. Les enregistreurs TOMST enregistrent les mesures d'humidité du sol sous forme de signaux électriques bruts, qui doivent être convertis en contenu d'humidité volumétrique du sol grâce à une approche de calibration. Actuellement, nous utilisons une courbe de calibration globale (indépendante de la texture du sol) pendant que nous calibrons les enregistreurs pour différentes textures. Le jeu de données inclus ici contient les lectures brutes des capteurs, qui peuvent être calibrées en utilisant le guide de calibration TMS https://tomst.com/web/wp-content/uploads/2023/05/TMS-calibration-handbook.pdf. Utilisation : Ce jeu de données est destiné à des applications en hydrologie pour surveiller les conditions d'humidité du sol à long terme, les sécheresses agricoles (déficit en eau des végétaux), valider les observations d'humidité du sol et d'évapotranspiration issues de la télédétection, et des modèles de bilan hydrique du sol. Dans certains cas, les données sont également utilisées pour évaluer l'adéquation de ce type de capteur pour la planification de l'irrigation et la conservation de l'eau. Nous avons déployé ces enregistreurs pour évaluer si les données de haute résolution (250 m) de la Productivité de l'Eau via l'accès ouvert de données dérivées de télédétection de la FAO (WaPOR) peuvent contribuer à un suivi pertinent et opportun des sécheresses à micro-échelle, et comment les indices de sécheresse calculés à partir des données de WaPOR correspondent aux tendances de l'humidité du sol à l'échelle des champs. Description des champs de données : Le jeu de données est fourni sous forme de série temporelle contenant les champs de données suivants : Temp: -6 cm Température du sol mesurée par l'enregistreur à 6 cm sous la surface du sol. Temp: 0 cm Température de l'air/sol mesurée par l'enregistreur à la surface du sol. Temp: +12 cm Température de l'air mesurée par l'enregistreur à 12 cm au-dessus de la surface du sol. Raw sensor reading Ceci est le signal électrique de l'humidité du sol mesuré par le capteur, qui doit être converti en une valeur de contenu volumétrique d'humidité du sol. Calibrated vmc Il s'agit du contenu volumétrique d'humidité obtenu en calibrant la lecture brute du capteur. Les valeurs sont obtenues en utilisant l'équation de Kopecky et al., (2021) https://doi.org/10.1016/j.scitotenv.2020.143785. Logger_id Le numéro de série de l'enregistreur de données. Latitude, Longitude Les coordonnées où se trouve le capteur. Date installed in the field: La date à laquelle le capteur a été installé dans le champ. Ce jeu de données comprend des mesures d'humidité du sol et de température collectées à l'aide des enregistreurs de données TOMST (https://tomst.com/web/en/systems/tms/tms-4/) dans plusieurs endroits en Afrique ainsi qu'à Cuba. Le jeu de données contient trois mesures de température proches de la surface : à 12 cm au-dessus de la surface du sol (Temp: +12 cm), à la surface du sol (Temp: 0 cm) et juste sous la surface (Temp: -6 cm). Les mesures d'humidité du sol sont recueillies à une profondeur de 15 cm sous le sol en utilisant la technique de Transmittance par Domaine Temporel. Les enregistreurs TOMST enregistrent les mesures d'humidité du sol sous forme de signaux électriques bruts, qui doivent être convertis en contenu d'humidité volumétrique du sol grâce à une approche de calibration. Actuellement, nous utilisons une courbe de calibration globale (indépendante de la texture du sol) pendant que nous calibrons les enregistreurs pour différentes textures. Le jeu de données inclus ici contient les lectures brutes des capteurs, qui peuvent être calibrées en utilisant le guide de calibration TMS https://tomst.com/web/wp-content/uploads/2023/05/TMS-calibration-handbook.pdf. Utilisation : Ce jeu de données est destiné à des applications en hydrologie pour surveiller les conditions d'humidité du sol à long terme, les sécheresses agricoles (déficit en eau des végétaux), valider les observations d'humidité du sol et d'évapotranspiration issues de la télédétection, et des modèles de bilan hydrique du sol. Dans certains cas, les données sont également utilisées pour évaluer l'adéquation de ce type de capteur pour la planification de l'irrigation et la conservation de l'eau. Nous avons déployé ces enregistreurs pour évaluer si les données de haute résolution (250 m) de la Productivité de l'Eau via l'accès ouvert de données dérivées de télédétection de la FAO (WaPOR) peuvent contribuer à un suivi pertinent et opportun des sécheresses à micro-échelle, et comment les indices de sécheresse calculés à partir des données de WaPOR correspondent aux tendances de l'humidité du sol à l'échelle des champs. Description des champs de données : Le jeu de données est fourni sous forme de série temporelle contenant les champs de données suivants : Temp: -6 cm Température du sol mesurée par l'enregistreur à 6 cm sous la surface du sol. Temp: 0 cm Température de l'air/sol mesurée par l'enregistreur à la surface du sol. Temp: +12 cm Température de l'air mesurée par l'enregistreur à 12 cm au-dessus de la surface du sol. Raw sensor reading Ceci est le signal électrique de l'humidité du sol mesuré par le capteur, qui doit être converti en une valeur de contenu volumétrique d'humidité du sol. Calibrated vmc Il s'agit du contenu volumétrique d'humidité obtenu en calibrant la lecture brute du capteur. Les valeurs sont obtenues en utilisant l'équation de Kopecky et al., (2021) https://doi.org/10.1016/j.scitotenv.2020.143785. Logger_id Le numéro de série de l'enregistreur de données. Latitude, Longitude Les coordonnées où se trouve le capteur. Date installed in the field: La date à laquelle le capteur a été installé dans le champ.
CRIDA implementation in Chimanimani District
Reports and datasets generated as part of the Climate Risk Informed Decision Analysis (CRIDA) implemented in the Chimanimani Districts, in response to Cyclone Idai and to build resilience of local communities to climate change impacts.
Comprehensive Resilience Building in the Chimanimani and Chipinge Districts
Zimbabwe is exposed to multiple weather-related hazards, suffering from frequent periodic cyclones, droughts, floods, and related epidemics and landslides. On 15 March 2019, tropical Cyclone Idai hit eastern Zimbabwe, and at least 172 deaths were reported, more than 186 people were injured and 327 were missing, while over 270,000 people were affected across nine districts, particularly in Chimanimani and Chipinge. Of those affected, 20,002 households (61.5%) or 100,106 people (74.2% of the 2012 population) were in Chimanimani. Meanwhile, ecosystem damage also occurred where boulders and mud were dumped downhill, affecting wildlife habitats, water quality, tourism activities and usability of land resources. The cyclone’s aftermath has therefore increased environmental risks, which will in turn affect local adaptation. Loss of vegetation cover means the natural defense against future flood waters and landslides is no longer available. Similar events in future are therefore likely to cause even more destruction. The overall objective of the initiative is therefore to reduce the vulnerability of communities in the Chimanimani and Chipinge Districts to natural disasters, such as floods, droughts and landslides; and to enhance water resource management as well as ecosystem services in response to the uncertainty of future climate change. The project is designed to approach the water-related risk and vulnerability through an integrated strategy that targets several aspects of disaster risk reduction, and provides scalable implementation of the project through a modular pathway and the development of case studies in target flood and landslide prone areas.
Global Gravity-based Groundwater Product (G3P)
The Global Gravity-based Groundwater Product (G3P) provides groundwater storage anomalies (GWSA) from a cross-cutting combination of GRACE/GRACE-FO-based terrestrial water storage (TWS) and storage compartments of the water cycle (WSCs) that are part of the Copernicus portfolio. The data set comprises gridded anomalies of groundwater, TWS, and the WSCs glacier, snow, soil moisture and surface water bodies plus layers containing uncertainty information for the individual data products. All WSCs are spatially filtered with a Gaussian filter to be compatible with TWS. Spatial coverage is global, except Greenland and Antarctica, with 0.5-degree resolution. Temporal coverage is from April 2002 to September 2023 with monthly temporal resolution. Gridded data sets are available as NetCDF files containing variables for the parameter value as anomaly in mm equivalent water height and the parameter’s uncertainty as mm equivalent water height. The latest version of the data is visualized at the GravIS portal: https://gravis.gfz-potsdam.de/gws. From GravIS, the data is also available as area averages for several large river basins and aquifers, as well as for climatically similar regions. G3P was funded by the EU Horizon 2020 programme in response to the call LC-SPACE-04-EO-2019-2020 “Copernicus evolution – Research activities in support of cross-cutting applications between Copernicus services” under grant agreement No. 870353.
Secondary Water-Quality Dataset for the Lake Turkana Basin (Ethiopian side)
Conjunto de datos secundarios de calidad del agua para la cuenca del lago Turkana (parte etíope)
Ensemble de données secondaires sur la qualité de l’eau pour le bassin du lac Turkana (partie éthiopienne)
A compilation of secondary surface- and groundwater quality measurements assembled to characterize hydrochemistry, contaminants, isotopes, and bacteriological parameters across the Ethiopian portion of the Lake Turkana basin. This dataset underpins statistical and geospatial analyses to inform sustainable water-resource management.
Una compilación de mediciones secundarias de la calidad de las aguas superficiales y subterráneas reunidas para caracterizar la hidroquímica, los contaminantes, los isótopos y los parámetros bacteriológicos en la parte etíope de la cuenca del lago Turkana. Este conjunto de datos sustenta análisis estadísticos y geoespaciales para orientar la gestión sostenible de los recursos hídricos.
Une compilation de mesures secondaires de la qualité des eaux de surface et souterraines, rassemblées afin de caractériser l’hydro-chimie, les contaminants, les isotopes et les paramètres bactériologiques dans la partie éthiopienne du bassin du lac Turkana. Cet ensemble de données sert de base à des analyses statistiques et géospatiales pour éclairer une gestion durable des ressources en eau.
IHP-WINS Platform Launch Materials – 28 April 2025
Matériel de Lancement de la Plateforme IHP-WINS – 28 avril 2025
Materiales de Lanzamiento de la Plataforma IHP-WINS – 28 de abril de 2025
This dataset contains the official materials from the launch event of the IHP-WINS (International Hydrological Programme – Water Information Network System) platform, held on 28 April 2023. It includes the launch brochure, the presentation delivered during the event, and the full recording of the webinar. These resources provide an overview of the platform’s objectives, functionalities, and relevance in supporting data sharing, open science, and collaborative water resources management. The dataset serves as a reference for stakeholders, partners, and contributors interested in learning about the vision and practical applications of IHP-WINS.
Este conjunto de datos contiene los materiales oficiales del evento de lanzamiento de la plataforma IHP-WINS (Sistema de Información sobre el Agua del Programa Hidrológico Internacional), celebrado el 28 de abril de 2023. Incluye el folleto de lanzamiento, la presentación utilizada durante el evento y la grabación completa del seminario web. Estos recursos ofrecen una visión general de los objetivos, funcionalidades y relevancia de la plataforma en el apoyo al intercambio de datos, la ciencia abierta y la gestión colaborativa de los recursos hídricos. El conjunto de datos sirve como referencia para partes interesadas, socios y colaboradores que deseen conocer la visión y las aplicaciones prácticas de IHP-WINS.
Ce jeu de données contient les documents officiels liés au lancement de la plateforme IHP-WINS (Système d’Information sur l’Eau du Programme Hydrologique International), qui a eu lieu le 28 avril 2023. Il comprend la brochure de lancement, la présentation utilisée lors de l'événement, ainsi que l'enregistrement complet du webinaire. Ces ressources offrent un aperçu des objectifs, des fonctionnalités et de la pertinence de la plateforme pour soutenir le partage de données, la science ouverte et la gestion collaborative des ressources en eau. Ce jeu de données constitue une référence pour les parties prenantes, partenaires et contributeurs souhaitant mieux comprendre la vision et les applications pratiques de l’IHP-WINS.
The materials in this dataset were compiled by the UNESCO Intergovernmental Hydrological Programme (IHP) Secretariat as part of the official launch of the IHP-WINS platform on 28 April 2023. The brochure and presentation were prepared internally by the IHP-WINS coordination team to present the platform’s goals, functionalities, and strategic value. The webinar was organized by UNESCO and recorded live during the virtual launch event. No modifications have been made to the content after the event; the materials are provided as originally presented to ensure accuracy and authenticity.
Los materiales de este conjunto de datos fueron recopilados por la Secretaría del Programa Hidrológico Internacional (PHI) de la UNESCO como parte del lanzamiento oficial de la plataforma IHP-WINS, celebrado el 28 de abril de 2023. El folleto y la presentación fueron elaborados internamente por el equipo de coordinación de IHP-WINS con el fin de presentar los objetivos, funcionalidades y valor estratégico de la plataforma. El seminario web fue organizado por la UNESCO y grabado en vivo durante el evento virtual de lanzamiento. No se realizaron modificaciones a los contenidos tras el evento; los materiales se presentan tal como fueron originalmente difundidos para garantizar su precisión y autenticidad.
Les documents de ce jeu de données ont été compilés par le Secrétariat du Programme Hydrologique International (PHI) de l’UNESCO dans le cadre du lancement officiel de la plateforme IHP-WINS, qui a eu lieu le 28 avril 2023. La brochure et la présentation ont été préparées en interne par l’équipe de coordination d’IHP-WINS afin de présenter les objectifs, les fonctionnalités et la valeur stratégique de la plateforme. Le webinaire a été organisé par l’UNESCO et enregistré en direct lors de l’événement virtuel de lancement. Aucun contenu n’a été modifié après l’événement ; les documents sont fournis tels que présentés à l’origine afin de garantir leur exactitude et authenticité.
River culture: life as a dance to the rhythm of the waters
The global crises of biodiversity and cultural diversity are interdependent, especially so in rivers. While we know that 84% of the freshwater fauna has disappeared between 1970 and 2014, the loss in cultural diversity connected to the river and its floodplain (e.g., spiritual linkages, traditional use forms, adapted architecture, etc.) is as yet un-known. This book makes a first attempt to deal with biological and cultural diversities altogether, depicting the bio-cul-tural diversities, historical human-river relation-ships, threats, and practical examples of how to mitigate the crisis in riverscapes. More than 120 authors present interdisciplinary studies from river systems all over the world, and explore overarching issues on river ma-nagement in the Anthropocene.
Example of Bolivian Hydrological Data
This in example of hydrological data containing parameters x y z, in bolivia
Water security: responses to local, regional and global challenges; achievements of the IHP-VIII (2014-2021)
Overview of the IHP Phase VIII Achievements
HoA Transboundary Aquifers
Acuíferos Transfronterizos del Cuerno de África
Aquifères Transfrontaliers de la Corne de l'Afrique
Recognizing the value of transboundary water systems and the fact that many of them continue to be degraded and managed in fragmented ways, the Global Environment Facility Transboundary Water Assessment Programme (GEF TWAP) was developed. The Programme aims to provide a baseline assessment that identifies and evaluates changes in these water systems caused by human activities and natural processes, and the consequences such have on dependant human populations. The project is the first truly global comparative assessment for transboundary aquifers, lakes, rivers and large marine ecosystems, as well as a thematic evaluation of the open ocean, through institutional partnerships that hope to seed future global assessments. The project results are envisioned to assist the GEF and other international organizations in setting priorities for supporting the conservation of transboundary water systems. More information on TWAP including final reports can be found on www.geftwap.org This portal gives access to the map based results from the Groundwater component of the Transboundary Waters Assessment Programme. The data shown in this portal have been made available by national experts from countries involved in the TWAP Groundwater project. It also includes the results from scenario analyses using the global WaterGAP model (University of Frankfurt, Germany) and a study on groundwater systems of small island developing states, also called SIDS (Simon Frasier University, Canada). More information on TWAP Groundwater, including reports on methodology and outcomes, can be found on www.twap.isarm.org
Reconociendo el valor de los sistemas de agua transfronterizos y el hecho de que muchos de ellos siguen degradándose y siendo gestionados de manera fragmentada, se desarrolló el Programa de Evaluación de Aguas Transfronterizas del Fondo para el Medio Ambiente Mundial (GEF TWAP). El programa tiene como objetivo proporcionar una evaluación de referencia que identifique y evalúe los cambios en estos sistemas hídricos causados por actividades humanas y procesos naturales, y las consecuencias que tienen sobre las poblaciones humanas dependientes. El proyecto es la primera evaluación comparativa verdaderamente global de acuíferos, lagos, ríos y grandes ecosistemas marinos transfronterizos, así como una evaluación temática del océano abierto, a través de asociaciones institucionales que esperan sembrar futuras evaluaciones globales. Los resultados del proyecto están destinados a ayudar al GEF y a otras organizaciones internacionales a establecer prioridades para apoyar la conservación de los sistemas hídricos transfronterizos. Más información sobre TWAP, incluidos los informes finales, se puede encontrar en www.geftwap.org Este portal da acceso a los resultados basados en mapas del componente de aguas subterráneas del Programa de Evaluación de Aguas Transfronterizas. Los datos mostrados en este portal han sido proporcionados por expertos nacionales de los países involucrados en el proyecto TWAP de aguas subterráneas. También incluye los resultados de análisis de escenarios usando el modelo global WaterGAP (Universidad de Fráncfort, Alemania) y un estudio sobre los sistemas de aguas subterráneas de los pequeños estados insulares en desarrollo, también llamados SIDS (Simon Fraser University, Canadá). Más información sobre TWAP Groundwater, incluidos los informes sobre metodología y resultados, se puede encontrar en www.twap.isarm.org
Reconnaissant la valeur des systèmes aquatiques transfrontaliers et le fait que beaucoup d’entre eux continuent de se dégrader et sont gérés de manière fragmentée, le Programme d’Évaluation des Eaux Transfrontalières du Fonds pour l’Environnement Mondial (GEF TWAP) a été développé. Ce programme vise à fournir une évaluation de base qui identifie et évalue les changements dans ces systèmes aquatiques dus aux activités humaines et aux processus naturels, ainsi que les conséquences de ces changements sur les populations humaines dépendantes. Ce projet est la première évaluation comparative véritablement mondiale des aquifères, des lacs, des rivières et des grands écosystèmes marins transfrontaliers, ainsi qu'une évaluation thématique de l’océan ouvert, via des partenariats institutionnels qui espèrent encourager de futures évaluations mondiales. Les résultats du projet visent à aider le GEF et d'autres organisations internationales à établir des priorités pour soutenir la conservation des systèmes aquatiques transfrontaliers. Plus d'informations sur TWAP, y compris les rapports finaux, peuvent être trouvées sur www.geftwap.org Ce portail donne accès aux résultats cartographiques du composant eau souterraine du Programme d'Évaluation des Eaux Transfrontalières. Les données présentées dans ce portail ont été fournies par des experts nationaux des pays participant au projet TWAP sur les eaux souterraines. Il comprend également les résultats d'analyses de scénarios utilisant le modèle mondial WaterGAP (Université de Francfort, Allemagne) et une étude sur les systèmes d'eaux souterraines des petits États insulaires en développement, également appelés SIDS (Université Simon Fraser, Canada). Plus d'informations sur TWAP Groundwater, y compris des rapports sur la méthodologie et les résultats, peuvent être trouvées sur www.twap.isarm.org
UNEP GEMS/Water Global Freshwater Quality Archive
Archivo Global de Calidad del Agua Dulce de UNEP GEMS/Water
Archives mondiales de la qualité des eaux douces de UNEP GEMS/Water
Large-sample datasets are essential in hydrological science to support modelling studies and global assessments. The present dataset compiles all freshwater quality data that is available under open data policy (CC BY 4.0 or equivalent) at the GEMStat database for global water quality (www.gemstat.org). It includes over 20,000,000 measurements on 608 water quality parameters, covering 13,660 stations in 37 countries over the time period from 1906 to 2023. GEMStat is operated by the GEMS/Water programme of the United Nations Environment Programme (UNEP) and hosted at the International Centre for Water Resources and Global Change (ICWRGC) and the German Federal Institute of Hydrology (BfG). The data in GEMStat is provided by National Hydrological Services of UN member states.
Los conjuntos de datos a gran escala son esenciales en la ciencia hidrológica para respaldar estudios de modelización y evaluaciones globales. El presente conjunto de datos recopila toda la información disponible sobre la calidad del agua dulce bajo una política de datos abiertos (CC BY 4.0 o equivalente) en la base de datos GEMStat para la calidad global del agua (www.gemstat.org). Incluye más de 20,000,000 de mediciones de 608 parámetros de calidad del agua, cubriendo 13,660 estaciones en 37 países en el período de tiempo desde 1906 hasta 2023. GEMStat es operado por el programa GEMS/Water del Programa de las Naciones Unidas para el Medio Ambiente (PNUMA) y está alojado en el Centro Internacional para los Recursos Hídricos y el Cambio Global (ICWRGC) y el Instituto Federal de Hidrología de Alemania (BfG). Los datos en GEMStat son proporcionados por los Servicios Hidrológicos Nacionales de los estados miembros de la ONU.
Les ensembles de données à grande échelle sont essentiels en science hydrologique pour soutenir les études de modélisation et les évaluations globales. Le présent ensemble de données compile toutes les données sur la qualité des eaux douces disponibles sous une politique de données ouvertes (CC BY 4.0 ou équivalent) dans la base de données GEMStat dédiée à la qualité de l’eau à l’échelle mondiale (www.gemstat.org). Il comprend plus de 20 000 000 de mesures sur 608 paramètres de qualité de l'eau, couvrant 13 660 stations dans 37 pays sur la période de 1906 à 2023. GEMStat est géré par le programme GEMS/Water du Programme des Nations Unies pour l’Environnement (PNUE) et hébergé au Centre International pour les Ressources en Eau et les Changements Globaux (ICWRGC) et à l’Institut Fédéral Allemand d’Hydrologie (BfG). Les données de GEMStat sont fournies par les Services Hydrologiques Nationaux des États membres de l’ONU.
National Report - IHP-ROK activities undertaken in the period April 2022 - February 2024
Climate Risk Informed Decision Analysis (CRIDA): collaborative water resources planning for an uncertain future
The CRIDA approach provides a crucial framework to enable water managers and policy makers to assess the impact of climate uncertainty and change on their water resources and work towards effective adaptation strategies. This multi-step process embraces a participatory, bottom-up approach to identify water security hazards, and is sensitive to indigenous and gender-related water vulnerabilities. By engaging local communities in the design of the analysis, the information provided by scientific modeling and climate analysis can be tailored and thus provide more useful answers to the challenges they are facing. They are also providing a more informed starting point to assess the different options for adaptation, and design robust adaptation pathways, in line with the local needs.
Approaching climate and disasters in an age of uncertainty: case studies and insights for the High-level Experts and Leaders Panel on Water and Disasters (HELP)
This publication aims to bridge the gap between climate and disasters, in the face of the uncertainties that climate change poses to water managers and policymakers. Composed of a compilation of worldwide case studies, it provides examples of innovative water management and climate risk assessment approaches. The publication also highlights the National Determined Contributions (NDCs) and National Adaptation Plans (NAPs) with the aim of identifying links between these high-level frameworks, DRR and water issues, and describing how the policy-practice linkages can be turned into action.
Open Hydrology
Hidrologia Abierta
Hydrologie Ouverte
This publication has laid out a strategic framework to integrate Open Science into hydrology, illustrating its true potential to enhance research transparency, collaboration, and accessibility within water management practices. The six pillars — open data, open source, open publishing, open infrastructure, open education, and open participation — constitute the structure of the Open Hydrology framework designed to promote transparency and reproducibility.
Esta publicación ha establecido un marco estratégico para integrar la ciencia abierta en la hidrología, ilustrando su verdadero potencial para mejorar la transparencia, la colaboración y la accesibilidad de la investigación dentro de las prácticas de gestión del agua. Los seis pilares (datos abiertos, código abierto, publicación abierta, infraestructura abierta, educación abierta y participación abierta) constituyen la estructura del marco de Hidrología Abierta diseñado para promover la transparencia y la reproducibilidad.
Cette publication a défini un cadre stratégique pour intégrer la science ouverte dans l'hydrologie, illustrant son véritable potentiel pour améliorer la transparence, la collaboration et l'accessibilité de la recherche dans les pratiques de gestion de l'eau. Les six piliers — données ouvertes, open source, publication ouverte, infrastructure ouverte, éducation ouverte et participation ouverte — constituent la structure du cadre d'hydrologie ouverte conçu pour promouvoir la transparence et la reproductibilité.
Applications of AI for water management
This publication reviews the current state-of-the-art of AI and Machine Learning (ML) applications within water management, introducing some of the main concepts and providing the reader with a general understanding of different technologies and concepts. Further, it features examples of the most influential applications of AI within water management and highlights the ethical challenges when streamlining AI for water resources management.
Kenya - Groundwater Sources from mWater
This dataset is part of the mWater data for Kenya. It includes wells, boreholes, tube wells, and springs. Altitude data have been corrected by removing negative values and turning 0 values to NULL where applicable.
Ethiopia - Groundwater Sources from mWater
This dataset is part of the mWater data for Ethiopia. It includes wells, boreholes, tubewells, and springs. Altitude data have been corrected by removing negative values and turning 0 values to NULL where applicable.
Boreholes Kenya - Rural Focus
Pozos de Kenia de Rural Focus
Puits de Kenya de Rural Focus
The dataset covers the Counties of Turkana and Marsabit in northern Kenya. It includes borehole records with some geological and water quality measurements. It is part of the project "HYDROGEOLOGICAL MAPPING OF TURKANA and MARSABIT AQUIFERS" that was carried out by Rural Focus and SWAS WATER SURVEYS. A significant portion of the data that was required for these datasets was collected from various organizations including Oxfam, the Catholic Diocese of Lodwar, JICA, and the WRA of Kenya. The dataset has undergone improvements in accuracy and consistency while being normalized to align with UNESCO's groundwater data collection template.
El conjunto de datos cubre los Condados de Turkana y Marsabit en el norte de Kenia. Incluye registros de pozos con algunas mediciones geológicas y de calidad del agua. Forma parte del proyecto "HYDROGEOLOGICAL MAPPING OF TURKANA and MARSABIT AQUIFERS" que fue llevado a cabo por Rural Focus y SWAS WATER SURVEYS. Una parte significativa de los datos requeridos para estos conjuntos fue recopilada de diversas organizaciones, incluidas Oxfam, la Diócesis Católica de Lodwar, JICA y la WRA de Kenia. El conjunto de datos ha sido mejorado en términos de precisión y consistencia, y normalizado para alinearse con la plantilla de recolección de datos sobre aguas subterráneas de la UNESCO.
Le jeu de données couvre les comtés de Turkana et de Marsabit dans le nord du Kenya. Il inclut des enregistrements de forages avec certaines mesures géologiques et de qualité de l'eau. Il fait partie du projet "HYDROGEOLOGICAL MAPPING OF TURKANA and MARSABIT AQUIFERS", réalisé par Rural Focus et SWAS WATER SURVEYS. Une partie importante des données nécessaires à ces ensembles a été collectée auprès de diverses organisations, notamment Oxfam, le diocèse catholique de Lodwar, JICA et la WRA du Kenya. Le jeu de données a été amélioré en termes de précision et de cohérence, et normalisé pour s'aligner sur le modèle de collecte de données sur les eaux souterraines de l'UNESCO.
Four separate datasets were extracted from the Rural Focus hard copy report titled "Hydrogeological Mapping of Turkana & Marsabit Aquifers." Two datasets contained water quality data for selected wells, while the other two focused on aquifer information. These datasets were merged by county into two CSV files, which were then used to create a unified SHP file combining all the information covering both counties.
Cuatro conjuntos de datos separados fueron extraídos del informe en formato físico de Rural Focus titulado "Hydrogeological Mapping of Turkana & Marsabit Aquifers". Dos conjuntos contenían datos de calidad del agua para pozos seleccionados, mientras que los otros dos se centraban en información sobre los acuíferos. Estos conjuntos de datos se fusionaron por condado en dos archivos CSV, que posteriormente se utilizaron para crear un archivo SHP unificado que combina toda la información de ambos condados.
Quatre ensembles de données distincts ont été extraits du rapport papier de Rural Focus intitulé "Hydrogeological Mapping of Turkana & Marsabit Aquifers". Deux ensembles contenaient des données sur la qualité de l'eau pour des puits sélectionnés, tandis que les deux autres se concentraient sur les informations relatives aux aquifères. Ces ensembles de données ont été fusionnés par comté en deux fichiers CSV, qui ont ensuite été utilisés pour créer un fichier SHP unifié regroupant toutes les informations des deux comtés.
Ethiopia Population
This dataset provides population data for Ethiopia, disaggregated by regional states. The data is available in vector format, allowing for spatial visualization. Cross-border settlements are represented separately in a standalone file titled "Crosses Boundary." The dataset includes total population figures and population density, adjusted to match the corresponding official United Nations population estimates that have been prepared by the Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat (2019 Revision of World Population Prospects).
Ethiopia Wells from mwater
Pozos de Etiopía de mwater
Puits d'Éthiopie de mwater
Dataset with boreholes and dug wells in Ethiopia from mwater
60 / 5,000 Conjunto de datos con pozos perforados y excavados en Etiopía de mwater
Ensemble de données avec forages et puits creusés en Éthiopie à partir de mwater
SWOT Level 2 River Single-Pass Vector Node Data Product for Ukraine
The SWOT Level 2 River Single-Pass Vector Node Data Product from the Surface Water Ocean Topography (SWOT) mission provides water surface elevation, slope, width, and discharge derived from the high rate (HR) data stream from the Ka-band Radar Interferometer (KaRIn). SWOT launched on December 16, 2022 from Vandenberg Air Force Base in California into a 1-day repeat orbit for the "calibration" or "fast-sampling" phase of the mission, which completed in early July 2023. After the calibration phase, SWOT entered a 21-day repeat orbit in August 2023 to start the "science" phase of the mission, which is expected to continue through 2025. Water surface elevation, slope, width, and discharge are provided for river reaches (approximately 10 km long) and nodes (approximately 200 m spacing) identified in the prior river database, and distributed as feature datasets covering the full swath for each continent-pass. These data are generally produced for inland and coastal hydrology surfaces, as controlled by the reloadable KaRIn HR mask. The dataset is distributed in ESRI Shapefile format. Please note that this collection contains SWOT Version C science data products. This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_RiverSP_2.0 It contains only river nodes.
SWOT Level 2 River Single-Pass Vector Reach Data Product for Ukraine
The SWOT Level 2 River Single-Pass Vector Reach Data Product from the Surface Water Ocean Topography (SWOT) mission provides water surface elevation, slope, width, and discharge derived from the high rate (HR) data stream from the Ka-band Radar Interferometer (KaRIn). SWOT launched on December 16, 2022 from Vandenberg Air Force Base in California into a 1-day repeat orbit for the "calibration" or "fast-sampling" phase of the mission, which completed in early July 2023. After the calibration phase, SWOT entered a 21-day repeat orbit in August 2023 to start the "science" phase of the mission, which is expected to continue through 2025. Water surface elevation, slope, width, and discharge are provided for river reaches (approximately 10 km long) and nodes (approximately 200 m spacing) identified in the prior river database, and distributed as feature datasets covering the full swath for each continent-pass. These data are generally produced for inland and coastal hydrology surfaces, as controlled by the reloadable KaRIn HR mask. The dataset is distributed in ESRI Shapefile format. Please note that this collection contains SWOT Version C science data products. This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_RiverSP_2.0 It contains only river reaches.
FRIEND/Nile Final Project Reports: Hydrological Research and Capacity Building for Sustainable Water Management in the Nile Basin (2001-2013)
Informes Finales del Proyecto FRIEND/Nile: Investigación Hidrológica y Desarrollo de Capacidades para la Gestión Sostenible del Agua en la Cuenca del Nilo (2001-2013)
Rapports Finaux du Projet FRIEND/Nile : Recherche Hydrologique et Renforcement des Capacités pour la Gestion Durable de l’Eau dans le Bassin du Nil (2001-2013)
The FRIEND/Nile project, implemented in two phases (2001-2006 and 2007-2013), aimed to enhance water resources management in the Nile Basin through regional cooperation, capacity building, and applied hydrological research. Initiated under the UNESCO International Hydrological Programme (IHP) and funded by the Flemish Government of Belgium, the project engaged key institutions across five Nile Basin countries—Egypt, Sudan, Ethiopia, Kenya, and Tanzania. The project focused on improving understanding of the river's hydrological regime through collaborative research and data sharing. Phase I (2001-2006) established technical and institutional cooperation, emphasizing four key research components: Rainfall-Runoff Modeling, Sediment Transport and Watershed Management, Flood Frequency Analysis, and Drought and Low Flow Analysis. Over 20 training workshops and technical meetings were conducted, enhancing the capacity of researchers and institutions within the region. The project facilitated data acquisition, model development, and technical publications, laying the foundation for improved transboundary water governance. Phase II (2007-2013) expanded on these efforts by addressing new challenges such as eco-hydrology, stochastic modeling, and erosion and sediment transport. It introduced advanced hydrological models, improved performance monitoring, and evaluated climate change impacts on water availability in the Nile Basin. The project contributed to enhanced scientific cooperation, strengthened institutional frameworks, and provided policy-relevant insights to support sustainable water resource management.
El proyecto FRIEND/Nile, implementado en dos fases (2001-2006 y 2007-2013), tuvo como objetivo mejorar la gestión de los recursos hídricos en la cuenca del Nilo a través de la cooperación regional, el desarrollo de capacidades y la investigación hidrológica aplicada. Iniciado bajo el Programa Hidrológico Internacional (PHI) de la UNESCO y financiado por el Gobierno de Flandes en Bélgica, el proyecto involucró a instituciones clave de cinco países de la cuenca del Nilo: Egipto, Sudán, Etiopía, Kenia y Tanzania. El proyecto se centró en mejorar la comprensión del régimen hidrológico del río mediante la cooperación en la investigación y el intercambio de datos. La Fase I (2001-2006) estableció la cooperación técnica e institucional, enfatizando cuatro componentes de investigación clave: modelado lluvia-escorrentía, transporte de sedimentos y gestión de cuencas, análisis de frecuencia de inundaciones y análisis de sequías y caudales bajos. Se llevaron a cabo más de 20 talleres de capacitación y reuniones técnicas, mejorando la capacidad de los investigadores y las instituciones de la región. El proyecto facilitó la adquisición de datos, el desarrollo de modelos y la publicación de documentos técnicos, sentando las bases para una mejor gobernanza del agua transfronteriza. La Fase II (2007-2013) amplió estos esfuerzos abordando nuevos desafíos como la ecohidrología, el modelado estocástico y la erosión y transporte de sedimentos. Se introdujeron modelos hidrológicos avanzados, se mejoró el monitoreo del rendimiento y se evaluaron los impactos del cambio climático en la disponibilidad de agua en la cuenca del Nilo. El proyecto contribuyó a una mayor cooperación científica, fortaleció los marcos institucionales y proporcionó información relevante para la formulación de políticas de gestión sostenible del agua.
Le projet FRIEND/Nile, mis en œuvre en deux phases (2001-2006 et 2007-2013), visait à améliorer la gestion des ressources en eau du bassin du Nil grâce à la coopération régionale, au renforcement des capacités et à la recherche hydrologique appliquée. Lancé sous le Programme Hydrologique International (PHI) de l'UNESCO et financé par le gouvernement flamand de Belgique, le projet a impliqué des institutions clés de cinq pays du bassin du Nil : l'Égypte, le Soudan, l'Éthiopie, le Kenya et la Tanzanie. Le projet s'est concentré sur l'amélioration de la compréhension du régime hydrologique du fleuve par le biais de la coopération scientifique et de l'échange de données. La Phase I (2001-2006) a établi la coopération technique et institutionnelle, mettant l'accent sur quatre composantes de recherche clés : la modélisation pluie-débit, le transport des sédiments et la gestion des bassins versants, l'analyse de la fréquence des crues et l'analyse des sécheresses et des faibles débits. Plus de 20 ateliers de formation et réunions techniques ont été organisés, renforçant les capacités des chercheurs et des institutions de la région. Le projet a facilité l'acquisition de données, le développement de modèles et la publication de rapports techniques, posant ainsi les bases d'une meilleure gouvernance transfrontalière de l'eau. La Phase II (2007-2013) a élargi ces efforts en abordant de nouveaux défis tels que l'écohydrologie, la modélisation stochastique et l'érosion et le transport des sédiments. Des modèles hydrologiques avancés ont été introduits, le suivi des performances a été amélioré et les impacts du changement climatique sur la disponibilité de l'eau dans le bassin du Nil ont été évalués. Le projet a contribué à renforcer la coopération scientifique, à consolider les cadres institutionnels et à fournir des informations pertinentes pour soutenir la gestion durable des ressources en eau.
Hydrodiplomacy, Legal and Institutional Aspects of Water Resources Governance.
Hydrodiplomacy, legal and institutional aspects of water resources governance: from the international to the domestic perspective: training manual
Water Quality Dataset
This dataset provides water quality data from stations in the Republic of Korea.
Projected changes in annual average precipitation and annual average temperature
Predicted changes in annual average precipitation (%), and annual average temperature (℃) for the near future (2041-2070) and far future (2071-2100) in Republic of Korea (ROK). Projections are based on the ACCESS-ESM1-5 model for scenarios SSP245 and SSP585.
Geological/Hydrogeological map of the Horn of Africa 1:5.000.000
Mapa geológico/hidrogeológico del Cuerno de África 1:5.000.000
Carte géologique/hydrogéologique de la Corne de l'Afrique 1:5.000.000
The harmonized geological and hydrogeological of the Horn of Africa integrates layers initially provided by the World Bank, which were developed from regional and national maps published by the British Geological Survey (BGS). These foundational layers, including detailed geological and aquifer type and productivity maps, were adapted to align cross-border geological formations and hydrogeological units. Through this harmonization, geological formations were reclassified by stratigraphic age and lithological properties, ensuring consistency in representation across Ethiopia, Djibouti, Kenya, Somalia, and South Sudan. Aquifer types and productivity levels were systematically standardized to reflect groundwater flow mechanisms, such as intergranular or fracture flow, and productivity classifications from very low to very high. The harmonized map employs consistent color schemes and attribute codes, allowing for streamlined GIS integration, cross-border assessments, and enhanced water resource management in the Horn of Africa.
El estudio geológico e hidrogeológico armonizado del Cuerno de África integra capas proporcionadas inicialmente por el Banco Mundial, que fueron desarrolladas a partir de mapas regionales y nacionales publicados por el Servicio Geológico Británico (BGS). Estas capas fundamentales, incluidos mapas detallados de productividad y tipos geológicos y de acuíferos, se adaptaron para alinear las formaciones geológicas y las unidades hidrogeológicas transfronterizas. A través de esta armonización, las formaciones geológicas se reclasificaron por edad estratigráfica y propiedades litológicas, asegurando coherencia en la representación en Etiopía, Djibouti, Kenia, Somalia y Sudán del Sur. Los tipos de acuíferos y los niveles de productividad se estandarizaron sistemáticamente para reflejar los mecanismos de flujo de agua subterránea, como el flujo intergranular o de fractura, y las clasificaciones de productividad de muy baja a muy alta. El mapa armonizado emplea esquemas de color y códigos de atributos consistentes, lo que permite una integración SIG simplificada, evaluaciones transfronterizas y una mejor gestión de los recursos hídricos en el Cuerno de África.
Le plan géologique et hydrogéologique harmonisé de la Corne de l'Afrique intègre des couches initialement fournies par la Banque mondiale, qui ont été élaborées à partir de cartes régionales et nationales publiées par le British Geological Survey (BGS). Ces couches fondamentales, y compris des cartes détaillées des types géologiques et aquifères et des cartes de productivité, ont été adaptées pour aligner les formations géologiques et les unités hydrogéologiques transfrontalières. Grâce à cette harmonisation, les formations géologiques ont été reclassées par âge stratigraphique et propriétés lithologiques, garantissant ainsi une représentation cohérente en Éthiopie, à Djibouti, au Kenya, en Somalie et au Soudan du Sud. Les types d'aquifères et les niveaux de productivité ont été systématiquement standardisés pour refléter les mécanismes d'écoulement des eaux souterraines, tels que l'écoulement intergranulaire ou fracturé, et les classifications de productivité de très faible à très élevée. La carte harmonisée utilise des schémas de couleurs et des codes d'attribut cohérents, permettant une intégration SIG rationalisée, des évaluations transfrontalières et une gestion améliorée des ressources en eau dans la Corne de l'Afrique.
Somalia, Springs from OpenStreetMap
Somalia, Manantiales de OpenStreetMap
Somalie, Sources d'OpenStreetMap
Springs in Somalia extracted from OpenStreetMap (October 2024) and normalized following UNESCO's template for groundwater data collection.
Manantiales en Somalia extraídos de OpenStreetMap (octubre de 2024) y normalizados según la plantilla de la UNESCO para la recopilación de datos de aguas subterráneas.
Sources en Somalie extraites d'OpenStreetMap (octobre 2024) et normalisées selon le modèle de l'UNESCO pour la collecte de données sur les eaux souterraines.
Using the QuickOSM plugin in QGIS all springs tagged as "natural=spring" within Somalia were downloaded. Then the feature was exported as a CSV file and then normalized using UNESCO's template for groundwater data collection.
Utilizando el complemento QuickOSM en QGIS, se descargaron todos los manantiales etiquetados como "natural=spring" dentro de Somalia. Luego, la capa se exportó como un archivo CSV y se normalizó utilizando la plantilla de la UNESCO para la recopilación de datos de aguas subterráneas.
En utilisant le plugin QuickOSM dans QGIS, toutes les sources étiquetées comme "natural=spring" en Somalie ont été téléchargées. Ensuite, la couche a été exportée en fichier CSV et normalisée à l'aide du modèle de l'UNESCO pour la collecte de données sur les eaux souterraines.
Somalia, Wells from OpenStreetMap
Somalia, Pozos de OpenStreetMap
Somalie, Puits d'OpenStreetMap
Wells in Somalia extracted from OpenStreetMap (October 2024) and normalized following UNESCO's template for groundwater data collection.
Pozos en Somalia extraídos de OpenStreetMap (octubre de 2024) y normalizados siguiendo la plantilla de la UNESCO para la recopilación de datos de aguas subterráneas.
Puits au Somalie extraits d'OpenStreetMap (octobre 2024) et normalisés selon le modèle de l'UNESCO pour la collecte de données sur les eaux souterraines.
Using the QuickOSM plugin in QGIS, all wells tagged as "man_made=water_well" within Somalia were downloaded. The feature was then exported as a CSV file and normalized using UNESCO's template for groundwater data collection.
Utilizando el complemento QuickOSM en QGIS, se descargaron todos los pozos etiquetados como "man_made=water_well" dentro de Somalia. Luego, la capa se exportó como un archivo CSV y se normalizó utilizando la plantilla de la UNESCO para la recopilación de datos sobre aguas subterráneas.
En utilisant le plugin QuickOSM dans QGIS, tous les puits étiquetés comme "man_made=water_well" en Somalie ont été téléchargés. La couche a ensuite été exportée sous forme de fichier CSV et normalisée en utilisant le modèle de collecte de données sur les eaux souterraines de l'UNESCO.
Kenya, Wells from OpenStreetMap
Kenia, Pozos de OpenStreetMap
Kenya, Puits d'OpenStreetMap
Wells in Kenya extracted from OpenStreetMap (October 2024) and normalized following UNESCO's template for groundwater data collection.
Pozos en Kenia extraídos de OpenStreetMap (octubre de 2024) y normalizados siguiendo la plantilla de la UNESCO para la recopilación de datos de aguas subterráneas.
Puits au Kenya extraits d'OpenStreetMap (octobre 2024) et normalisés selon le modèle de l'UNESCO pour la collecte de données sur les eaux souterraines.
Using the QuickOSM plugin in QGIS, all wells tagged as "man_made=water_well" within Kenya were downloaded. The feature was then exported as a CSV file and normalized using UNESCO's template for groundwater data collection.
Utilizando el plugin QuickOSM en QGIS, se descargaron todos los pozos etiquetados como "man_made=water_well" dentro de Kenia y se convirtieron a un archivo SHP. (octubre de 2024)
En utilisant le plugin QuickOSM dans QGIS, tous les puits étiquetés comme "man_made=water_well" au Kenya ont été téléchargés et convertis en un fichier SHP. (octobre 2024)
Somalia SWALIM wells
Somalia Pozos de SWALIM
Puits SWALIM de Somalie
This dataset is part of the Somalia Water sources Information Management System (SWIMS). From the various sources listed in SWIMS boreholes and wells were selected. The dataset gives information about the positioning and in few cases about water level and yield but it is not clarified if the inspection date in the data is referring to the measurements.
Este conjunto de datos forma parte del Sistema de Gestión de Información sobre Fuentes de Agua de Somalia (SWIMS). De las diversas fuentes enumeradas en SWIMS, se seleccionaron pozos y perforaciones. El conjunto de datos proporciona información sobre la ubicación y, en algunos casos, sobre el nivel de agua y el rendimiento, pero no se aclara si la fecha de inspección en los datos se refiere a las mediciones.
Cet ensemble de données fait partie du Système de Gestion de l'Information sur les Sources d'Eau de Somalie (SWIMS). Parmi les diverses sources répertoriées dans SWIMS, des forages et des puits ont été sélectionnés. L'ensemble de données fournit des informations sur la localisation et, dans quelques cas, sur le niveau d'eau et le débit, mais il n'est pas précisé si la date d'inspection dans les données fait référence aux mesures.
The original dataset was downloaded from https://swims.faoswalim.org/dashboard/view and then the CSV file was filtered for boreholes and dug wells. The extracted records were migrated to UNESCO's borehole collection template. Then it was filtered again, keeping only the records that had at least 4 decimals in their pair of coordinates to improve accuracy. The dataset was also checked for altitude consistency. Any elevation value above 2500m was deleted but the record was kept.
El conjunto de datos original se descargó de https://swims.faoswalim.org/dashboard/view y luego se filtró el archivo CSV para incluir únicamente perforaciones y pozos excavados. Los registros extraídos se migraron a la plantilla de recopilación de perforaciones de la UNESCO. Posteriormente, se filtraron nuevamente, manteniendo solo los registros que tenían al menos 4 decimales en sus pares de coordenadas para mejorar la precisión. También se verificó la consistencia de las altitudes. Cualquier valor de elevación por encima de 2500 m fue eliminado, pero el registro se mantuvo.
L'ensemble de données original a été téléchargé depuis https://swims.faoswalim.org/dashboard/view, puis le fichier CSV a été filtré pour inclure uniquement les forages et les puits creusés. Les enregistrements extraits ont été migrés vers le modèle de collecte de forages de l'UNESCO. Ensuite, un second filtrage a été effectué, en ne conservant que les enregistrements avec au moins 4 décimales dans leurs paires de coordonnées pour améliorer la précision. La cohérence des altitudes a également été vérifiée. Toute valeur d'altitude supérieure à 2500 m a été supprimée, mais l'enregistrement a été conservé.
Ethiopia, Wells from OpenStreetMap
Etiopía, Pozos de OpenStreetMap
Éthiopie, OpenStreetMap Puits
Wells in Ethiopia extracted from OpenStreetMap (October 2024) and normalized following UNESCO's template for groundwater data collection.
Pozos en Etiopía extraídos de OpenStreetMap (octubre de 2024) y normalizados según el modelo de la UNESCO para la recopilación de datos sobre aguas subterráneas.
Puits en Éthiopie extraits d'OpenStreetMap (octobre 2024) et normalisés selon le modèle de l'UNESCO pour la collecte de données sur les eaux souterraines.
Using the QuickOSM plugin in QGIS all wells tagged as "man_made=water_well" within Ethiopia were downloaded. (October 2024)
Usando el complemento QuickOSM en QGIS, se descargaron todos los pozos etiquetados como "man_made=water_well" dentro de Etiopía. (Octubre de 2024)
En utilisant le plugin QuickOSM dans QGIS, tous les puits étiquetés comme "man_made=water_well" en Éthiopie ont été téléchargés. (Octobre 2024)
Ethiopia, Springs from OpenStreetMap
Etiopía, surge de OpenStreetMap
Éthiopie, sources d'OpenStreetMap
Springs in Ethiopia extracted from OpenStreetMap (October 2024) and normalized following UNESCO's template for groundwater data collection.
Manantiales en Etiopía extraídos de OpenStreetMap (octubre de 2024) y normalizados siguiendo la plantilla de la UNESCO para la recopilación de datos sobre aguas subterráneas.
Sources d'Éthiopie extraites d'OpenStreetMap (octobre 2024) et normalisées selon le modèle de l'UNESCO pour la collecte de données sur les eaux souterraines.
Using the QuickOSM plugin in QGIS all springs tagged as "natural=spring" within Ethiopia were downloaded. Then the feature was exported as a CSV file and then normalized using UNESCO's template for groundwater data collection.
Usando el complemento QuickOSM en QGIS, se descargaron todos los manantiales etiquetados como "natural=spring" dentro de Etiopía. Luego, la característica se exportó como un archivo CSV y luego se normalizó utilizando la plantilla de la UNESCO para la recopilación de datos de aguas subterráneas.
À l'aide du plugin QuickOSM dans QGIS, toutes les sources étiquetées « natural=spring » en Éthiopie ont été téléchargées. Ensuite, l'entité a été exportée sous forme de fichier CSV, puis normalisée à l'aide du modèle de l'UNESCO pour la collecte de données sur les eaux souterraines.
Kenya, Springs from OpenStreetMap
Kenia, Manantiales de OpenStreetMap
Kenya, Sources d'OpenStreetMap
Springs in Kenya extracted from OpenStreetMap (October 2024) and normalized following UNESCO's template for groundwater data collection.
Manantiales en Kenia extraídos de OpenStreetMap (octubre de 2024) y normalizados según el modelo de recolección de datos de aguas subterráneas de la UNESCO.
Sources au Kenya extraites d'OpenStreetMap (octobre 2024) et normalisées selon le modèle de collecte de données sur les eaux souterraines de l'UNESCO.
Using the QuickOSM plugin in QGIS, all springs tagged as "natural=spring" within Kenya were downloaded. The feature was then exported as a CSV file and normalized using UNESCO's template for groundwater data collection.
Usando el complemento QuickOSM en QGIS, se descargaron todos los manantiales etiquetados como "natural=spring" dentro de Kenia. Luego, la capa se exportó como un archivo CSV y se normalizó utilizando el modelo de recolección de datos de aguas subterráneas de la UNESCO.
En utilisant le plugin QuickOSM dans QGIS, toutes les sources étiquetées comme "natural=spring" au Kenya ont été téléchargées. La couche a ensuite été exportée en tant que fichier CSV et normalisée en suivant le modèle de collecte de données sur les eaux souterraines de l'UNESCO.
Turkana County (KE), Boreholes (UNICEF)
Condado de Turkana (KE), Pozos perforados (UNICEF)
Comté de Turkana (KE), Forages (UNICEF)
Borehole dataset from UNICEF in part of Turkana County in northern Kenya. Water quality information with dates.
Conjunto de datos de pozos perforados de UNICEF en una parte del condado de Turkana, en el norte de Kenia. Información sobre la calidad del agua con fechas.
Jeu de données des forages d'UNICEF dans une partie du comté de Turkana, au nord du Kenya. Informations sur la qualité de l'eau avec dates.
Kenya Boreholes - Acacia Water (Kenya Rapid+)
Pozos de agua en Kenia - Acacia WAter (Kenya Rapid+)
Forages de Kenya - Acacia WAter (Kenya Rapid+)
Overview of existing and known boreholes in each County (Turkana, Marsabit, Isiolo, Garissa, Wajir), including information of qualitative and quantitative potential (yield and EC). Note that this is a merged database containing data from the RAPID and UNICEF Hydrogeological mapping of underground water using remote sensing and GIS projects Provider: Acacia Water, RAPID + UNICEF project
Resumen de pozos existentes y conocidos en cada condado (Turkana, Marsabit, Isiolo, Garissa, Wajir), incluyendo información sobre el potencial cualitativo y cuantitativo (rendimiento y CE). Cabe señalar que esta es una base de datos fusionada que contiene datos del mapeo hidrogeológico de agua subterránea de los proyectos de RAPID y UNICEF mediante teledetección y SIG. Proveedor: Acacia Water, proyecto RAPID + UNICEF
Aperçu des forages existants et connus dans chaque comté (Turkana, Marsabit, Isiolo, Garissa, Wajir), incluant des informations sur le potentiel qualitatif et quantitatif (débit et CE). Notez qu'il s'agit d'une base de données fusionnée contenant des données de la cartographie hydrogéologique de l'eau souterraine des projets RAPID et UNICEF utilisant la télédétection et les SIG. Fournisseur : Acacia Water, projet RAPID + UNICEF
The dataset is a compilation of individual county datasets from AcaciaData's RapidPlus platform (https://rapidplus.acaciadata.com), which has been standardized following the UNESCO basic template for groundwater data.
El conjunto de datos es una compilación de conjuntos de datos individuales de cada condado disponibles en la plataforma RapidPlus de AcaciaData (https://rapidplus.acaciadata.com), que se ha estandarizado siguiendo la plantilla básica de UNESCO para datos de aguas subterráneas.
Le jeu de données est une compilation des jeux de données individuels de chaque comté disponibles sur la plateforme RapidPlus d'AcaciaData (https://rapidplus.acaciadata.com), qui a été normalisé selon le modèle de base de l'UNESCO pour les données sur les eaux souterraines.
African Drought Atlas
The African Drought Atlas (ADA), a project aimed at developing a comprehensive understanding of hydro-climatic extreme events in the Africa region. The ADA is inspired by the successful Drought Atlas for Latin America and Caribbean released by UNESCO-IHP and CAZALAC.
Latin American and Caribbean Drought Atlas
Atlas de Sequias de America Latina y el Caribe
Atlas de la sécheresse de l'Amérique latine et des Caraïbes
Drought Frequency maps of Latin America and the Caribbean, including the impacts of droughts and drought management approaches in the countries.
Mapas de frecuencia de sequías de América Latina y el Caribe, incluyendo los impactos de las sequías y los enfoques de gestión de sequías en los países.
Cartes de fréquence des sécheresses en Amérique latine et dans les Caraïbes, incluant les impacts des sécheresses et les approches de gestion de la sécheresse dans les pays.
CRIDA Reports and Case Studies
Informes y Casos de Estudios de CRIDA
This dataset includes a set of reports and case studies of CRIDA case studies
Esta base de datos consite en informes y casos de estudios de CRIDA.
This layer shows NASA's Earth Observing-1 (EO-1) satellite images of Pakistan on August 11, 2010, after two weeks of flooding had devastated the country.By early August 2010, two weeks of devastating monsoon rains had transformed the landscape of Pakistan, pushing rivers over their banks, inundating villages, washing away bridges and roads, destroying crops, and killing livestock. By August 12, 2010, more than 1,600 people had perished, according to news reports, and the United Nations Office for the Coordination of Humanitarian Affairs (OCHA) estimated that more than 14 million people had been affected in some way.For more information, visit NASA's Earth Observatory page: http://earthobservatory.nasa.gov/IOTD/view.php?id=45200
Flooding in Ayutthaya, Thailand (October 2011)
This layer shows NASA's Earth Observing-1 (EO-1) satellite images of Ayutthaya (Thailand) flood on October 23, 2011. Flooding forced the closure of manufacturing plants in Ayutthaya, according to news reports. The city is a UNESCO World Heritage site. On 12 October 2011, UNESCO Bangkok announced a planned assessment of flood damage to Ayutthaya, requested by the government of Thailand.For more information, visit NASA's Earth Observatory page: http://earthobservatory.nasa.gov/IOTD/view.php?id=76234
This 5 km resolution grid presents groundwater storage in Africa (in mm). This parameter was estimated by combining the saturated aquifer thickness and effective porosity of aquifers across Africa. For each aquifer flow/storage type an effective porosity range was assigned based on a series of studies across Africa and surrogates in other parts of the world. Groundwater storage is given in millimeters. Detailed description of the methodology, and a full list of data sources used to develop the layer can be found in the peer-reviewed paper available here: http://iopscience.iop.org/article/10.1088/1748-9326/7/2/024009/pdfThe raster and a high resolution PDF file are available for download on the website of British Geological Survey (BGS): http://www.bgs.ac.uk/research/groundwater/international/africanGroundwater/mapsDownload.html
Groundwater storage change across the Indo-Gangetic basin
This 1 km resolution grid shows the estimated mean annual groundwater storage change (in cm) across the aquifer based on annual groundwater-level change and specific yield. Methodology and a full list of data sources used can be found in the peer-reviewed paper: https://www.nature.com/articles/ngeo2791.epdf?author_access_token=_2Z_fJZxRkSVmgVJ7xHTVdRgN0jAjWel9jnR3ZoTv0O07GfIlzqIVm44UgFPb1r62_FUJLao4zkJSzYpv-4gIWJorRXEpgh4iarB8vlRNY_tGV_18CAf2j-_GnADYbdpThe raster and a high resolution PDF file are available for download on the website of British Geological Survey (BGS): http://www.bgs.ac.uk/research/groundwater/international/SEAsiaGroundwater/mapsDownload.html
Humedad relativa en la región del Trifinio
Humedad relativa (%) en la región del Trifinio.Información extraida de la publicación: Catálogo de Objetos Geográficos, Proyecto Gobernanza de las aguas subterráneas en los acuíferos transfronterizos (GGRETA por sus siglas en ingles). UNESCO-PHI, UICN, Agencia Suiza para el Desarrollo y la Cooperación COSUDE. Publicación: Septiembre 2014Para más información visite el Geoportal del Plan Trifinio: http://www.geoportaltrifinio.net/
This 5 km resolution grid indicates what borehole yields (in l/s) can reasonably be expected in different hydrogeological units. The ranges indicate the approximate interquartile range of the yield of boreholes that have been sited and drilled using appropriate techniques. Groundwater productivity is given in liters per second.Detailed description of the methodology, and a full list of data sources used to develop the layer can be found in the peer-reviewed paper available here: http://iopscience.iop.org/article/10.1088/1748-9326/7/2/024009/pdf The raster and a high resolution PDF file are available for download on the website of British Geological Survey (BGS): http://www.bgs.ac.uk/research/groundwater/international/africanGroundwater/mapsDownload.html
Landslides and Landslide Susceptibility Maps - Chimanimani and Chipinge, Zimbabwe
These datasets and maps present the landslides observed and landslide susceptibility of the Chimanimani and Chipinge Districts of Zimbabwe. The maps provide a qualitative assessment of the likelihood of a landslide occurrence in an area depend on the terrain condition, and knowledge of prior landslides in the region. These maps have been prepared with the recording of 20 000 landslides, that have been identified in the region, particularly those as a result of the Cyclone Idai that occurred in 2019.
Groundwater salinity across the Indo-Gangetic basin
This 1 km resolution grid shows salinity measured as total dissolved solids (TDS, in mg/l) in the groundwater across the Indo-Gangetic basin. Methodology and a full list of data sources used can be found in the peer-reviewed paper: https://www.nature.com/articles/ngeo2791.epdf?author_access_token=_2Z_fJZxRkSVmgVJ7xHTVdRgN0jAjWel9jnR3ZoTv0O07GfIlzqIVm44UgFPb1r62_FUJLao4zkJSzYpv-4gIWJorRXEpgh4iarB8vlRNY_tGV_18CAf2j-_GnADYbdpThe raster and a high resolution PDF file are available for download on the website of British Geological Survey (BGS): http://www.bgs.ac.uk/research/groundwater/international/SEAsiaGroundwater/mapsDownload.html
Groundwater pollution risk in Africa (2016)
Groundwater pollution risk is determined both by the intrinsic vulnerability of the aquifer and the existence of potentially polluting activities at the soil surface. This raster has a resolution of 15*15 km. It was generated by combining a groundwater vulnerability model (based on the DRASTIC method) with land use/land cover (from the GlobCoverdatat set) using an additive model. For more information, visit: http://www.sciencedirect.com/science/article/pii/S0048969715311189 test
Groundwater level trends across the Indo-Gangetic basin
This 1 km resolution grid shows mean annual change in water-table levels across the aquifer during the period 2000 to 2010 in meters per year. Methodology and a full list of data sources used can be found in the peer-reviewed paper: https://www.nature.com/articles/ngeo2791.epdf?author_access_token=_2Z_fJZxRkSVmgVJ7xHTVdRgN0jAjWel9jnR3ZoTv0O07GfIlzqIVm44UgFPb1r62_FUJLao4zkJSzYpv-4gIWJorRXEpgh4iarB8vlRNY_tGV_18CAf2j-_GnADYbdpThe raster and a high resolution PDF file are available for download on the website of British Geological Survey (BGS): http://www.bgs.ac.uk/research/groundwater/international/SEAsiaGroundwater/mapsDownload.html
Groundwater abstraction across the Indo-Gangetic basin (2010)
This 1 km resolution grid shows the estimated mean annual groundwater abstraction in millimeters across the Indo-Gangetic basin based on data from 2010.Methodology and a full list of data sources used can be found in the peer-reviewed paper: https://www.nature.com/articles/ngeo2791.epdf?author_access_token=_2Z_fJZxRkSVmgVJ7xHTVdRgN0jAjWel9jnR3ZoTv0O07GfIlzqIVm44UgFPb1r62_FUJLao4zkJSzYpv-4gIWJorRXEpgh4iarB8vlRNY_tGV_18CAf2j-_GnADYbdpThe raster and a high resolution PDF file are available for download on the website of British Geological Survey (BGS): http://www.bgs.ac.uk/research/groundwater/international/SEAsiaGroundwater/mapsDownload.html
Elevación de la región del Trifinio.Información extraida de la publicación: Catálogo de Objetos Geográficos, Proyecto Gobernanza de las aguas subterráneas en los acuíferos transfronterizos (GGRETA por sus siglas en ingles). UNESCO-PHI, UICN, Agencia Suiza para el Desarrollo y la Cooperación COSUDE. Publicación: Septiembre 2014Para más información visite el Geoportal del Plan Trifinio: http://www.geoportaltrifinio.net/
Global estimated risk index for flood hazard
This layer presents an estimation of the global risk induced by flood hazard. Unit is estimated risk index from 1 (low) to 5 (extreme). For more information, visit the Global Risk Data Platform: http://preview.grid.unep.ch/index.php?preview=data&events=floods&evcat=5&lang=eng
Economical exposition to surges from tropical cyclones (1975–2007)
This layer presents an estimation of the annual economical exposition to tropical cyclone surges. (Don't forget to zoom on the coast!)Unit is expected average annual GDP (2010 as the year of reference) exposed in (US $, year 2000 equivalent).For more information, visit the Global Risk Data Platform: http://preview.grid.unep.ch/index.php?preview=data&events=surges&evcat=4&lang=eng
Flood Hazard Maps for Buzi-Pungwe-Save (BuPuSa) Transboundary River Basins
File uploaded: Latin Drought Atlas SLD Style File.sld Auto-generated description
Water Extent COG - Central Pakistan (31 July 2025)
This file contains the satellite-detected water extent in Sindh, Balochistan, and Punjab Provinces, Pakistan, as observed from Sentinel-2 satellite images acquired on 31 July 2025 at 13:02 local time (08:02 UTC). Within the analyzed area of approximately 83,000 km², about 6,300 km² of land appears to be affected by floodwaters. The floodwater extent appears to have increased by approximately 1,300 km² since 11 July 2025. Based on WorldPop population data and the flood extent, approximately 2.3 million people are potentially exposed or living close to the flooded areas.
TerriaJS configuration file for datasets tagged with 'aquifer transboundary'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'aquifer transboundary' tag.
Water Extent - Central Pakistan (30 June 2025)
This map illustrates the satellite detected water extent in Sindh, Balochistan and Punjab Provinces, Pakistan as observed from Sentinel-2 satellite images acquired on 30 June 2025.
TerriaJS configuration file for datasets tagged with 'precipitation'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'precipitation' tag.
TerriaJS configuration file for datasets tagged with 'Salinity'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Salinity' tag.
Stress test of the impact of floods and droughts on the Chimanimani District under climate change projections.
Corrected pH and temperature for outliers
TerriaJS configuration file for UNESCO Field Office Baghdad, Iraq's map catalog. This JSON file contains the visualization settings and data layers specific to UNESCO Field Office Baghdad, Iraq's geospatial resources.
Schools - Flood Exposure (250-500 Year Return Period) (Chimanimani and Chipinge District, Zimbabwe)
This file contains the locations of primary and secondary schools in Chimanimani and Chipinge Districts, Zimbabwe, that fall within areas exposed to flood events with a 250 to 500-year return period. The data supports analysis of flood risk to educational infrastructure in the region.
TerriaJS configuration file for datasets tagged with 'data'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'data' tag.
TerriaJS configuration file for datasets tagged with 'boreholes'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'boreholes' tag.
BuPuSa - Flood Exposure Map (Rt 2 year, 6 hours)
Zone 3E Mountains with high porosity volcanic rocks and weathering products unsuitable for storage North Kenya
IHP-WINS Launch Webinar Recording – 28 April 2025
This video recording captures the official launch webinar of the IHP-WINS (Intergovernmental Hydrological Programme – Water Information Network System), held on 28 April 2025. The event introduces IHP-WINS as UNESCO’s open-access platform for water-related data sharing, visualization, and collaboration. It features keynote presentations from UNESCO experts and Water Family partners on the importance of open science and digital water governance. Platform features such as the Data Catalogue, Geospatial Viewer, Thematic Viewers, and the Open Learning Platform are demonstrated. Real-world use cases from Korea, the ICWRGC, the Horn of Africa, and UNESCO Chairs highlight practical applications of IHP-WINS. The webinar concludes with a live demonstration of data contribution workflows and an invitation to join the IHP-WINS Task Force.
TerriaJS configuration file for datasets tagged with 'RGI'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'RGI' tag.
TerriaJS configuration file for datasets tagged with 'water quality'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'water quality' tag.
Landslide Extent Map Legend (Chimanimani and Chipinge)
TerriaJS configuration file for datasets tagged with 'Randolph Glacier Inventory'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Randolph Glacier Inventory' tag.
Wells, dug wells, tubewells, boreholes, and springs from mWater in Ethiopia as of February 2025
Costa Rica MAR Suitability for spreading methods
TerriaJS configuration file for datasets tagged with 'gafa'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'gafa' tag.
TerriaJS configuration file for datasets tagged with 'Crawford Village'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Crawford Village' tag.
TerriaJS configuration file for datasets tagged with 'Sulaimani'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Sulaimani' tag.
TerriaJS configuration file for datasets tagged with 'hydrology'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'hydrology' tag.
TerriaJS configuration file for datasets tagged with 'FeaturedDataset'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'FeaturedDataset' tag.
Zone 3C Mountains with volcanic rocks with varying porosity and weathering products North Kenya
TerriaJS configuration file for datasets tagged with 'HydroLAKES'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'HydroLAKES' tag.
TerriaJS configuration file for datasets tagged with 'UNEP'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'UNEP' tag.
Intergovernmental Hydrological Programme.json
TerriaJS configuration file for Intergovernmental Hydrological Programme's map catalog. This JSON file contains the visualization settings and data layers specific to Intergovernmental Hydrological Programme's geospatial resources.
TerriaJS configuration file for datasets tagged with 'Buzi'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Buzi' tag.
TerriaJS configuration file for datasets tagged with 'cascading hazard'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'cascading hazard' tag.
Water Quality dataset from GA 3 Station in the Republic of Korea.
TerriaJS configuration file for datasets tagged with 'Republic of Korea'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Republic of Korea' tag.
This is the boreholes and wells dataset of the SWIMS database in CSV format
Landslide Susceptibility of Bridges in Chimanimani and Chipinge
Shapefile featuring the delineated and estimated aquifers in the HoA
Impact assessment of wastewater and planning for a treatment plant within Sulaimani City, Iraq
File uploaded: Impact assessment of wastewater and planning for a treatment plant within Sulaimani City, Iraq.pdf Auto-generated description
TerriaJS configuration file for datasets tagged with 'Transboundary'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Transboundary' tag.
Uploaded JSON file for TerriaJS configuration
TerriaJS configuration file for datasets tagged with 'Ghana'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Ghana' tag.
(POR) Análise de Decisões Informadas sobre Riscos Climáticos (CRIDA)
Versão francesa da Análise de Decisões Informadas sobre Riscos Climáticos (CRIDA)
Water Extent Style File COG (31 July 2025)
This file contains the SLD of the Water Extent style file of 31 July 2025
TerriaJS configuration file for datasets tagged with 'Resilience Building'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Resilience Building' tag.
School - Flood Exposure (100-200 Year Return Period) (Chimanimani and Chipinge District, Zimbabwe)
This file contains the locations of primary and secondary schools in Chimanimani and Chipinge Districts, Zimbabwe, that fall within areas exposed to flood events with a 100 to 200-year return period. The data supports analysis of flood risk to educational infrastructure in the region.
Zone 4B Sandstone formations North Kenya
Springs - Physicochemical - Lake Turkana Basin (ETH)
This dataset compiles comprehensive hydrogeological and hydrochemical measurements from a network of spring sampling sites. For each sample, precise spatial coordinates and elevation are recorded alongside metadata on sampling methodology, provenance, and project affiliation. In‐field parameters—including temperature, pH, electrical conductivity, total dissolved solids, and turbidity—are complemented by laboratory analyses of major cations (Na⁺, K⁺, Ca²⁺, Mg²⁺), anions (Cl⁻, HCO₃⁻, SO₄²⁻, NO₃⁻, F⁻, etc.), trace metals (Fe, Mn), and indices of organic content (TOC, BOD₅, COD). Accompanying each record are data source attributions (e.g., unpublished theses, government reports, peer‐reviewed articles) and acquisition dates. This integrated dataset supports groundwater quality assessment, aquifer characterization, and sustainable resource management across the study region.
TerriaJS configuration file for datasets tagged with 'location'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'location' tag.
Water Extent COG- Central Pakistan (11 July 2025)
This file contains the global grids, assembled by combining all 33 wetland grids. This file shows the absolute area of all wetland classes combined, in hectares times 10 (i.e., value 15 means 1.5 ha).
TerriaJS configuration file for datasets tagged with 'Internet-of-Things'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Internet-of-Things' tag.
Health Facilities - Flood Exposure (10-50 Year Return Period) (Chimanimani and Chipinge District, Zimbabwe)
This file contains the locations of health care facilities in Chimanimani and Chipinge Districts, Zimbabwe, that fall within areas exposed to flood events with a 10 to 50-year return period or less. The data supports analysis of flood risk to heath care infrastructure in the region.
Supporting Documentation of the ROBIN Dataset
This document provides supporting information for the ROBIN Public Dataset, a global collection of daily streamflow data from 2,386 hydrometric stations across 30 countries, spanning the period 1863–2022. It details the data collection methods, quality control procedures, metadata structure, and classification criteria for Reference Hydrological Networks (RHNs). The documentation also includes descriptions of catchment attributes, climate classifications, and data formatting standards to facilitate informed use of the dataset.
TerriaJS configuration file for datasets tagged with 'IHP-ROK'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'IHP-ROK' tag.
This file contains the global grids, assembled by combining all 33 wetland grids. This file shows the dominant wetland class within pixel (in cases of ties, the lower wetland class is chosen); value 0 indicates inland pixels without any wetland coverage.
water extent style file cog 30 june 2025
This file contains the SLD for the Water Extent Style file of 30 June 2025
TerriaJS configuration file for Group 3-Ethiopia's map catalog. This JSON file contains the visualization settings and data layers specific to Group 3-Ethiopia's geospatial resources.
TerriaJS configuration file for datasets tagged with 'hydrochemistry'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'hydrochemistry' tag.
Zone 1B Flat to gentle sloping areas with shallow hard rock North Kenya
TerriaJS configuration file for datasets tagged with 'natural springs'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'natural springs' tag.
TerriaJS configuration file for datasets tagged with 'HydroSHEDS'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'HydroSHEDS' tag.
This dataset represents the digitized version of the Geological Map of Somalia (scale 1:1,500,000), compiled between 1987 and 1991 and printed in 1994. The map was edited and coordinated by E. Abbate, M. Sagri, and F.P. Sassi.
Flood Impact Overview - Central Pakistan (11 July 2025)
This file contains the overview of the impact extracted from the satellite-detected water extent in Sindh, Balochistan, and Punjab Provinces, Pakistan, as observed from Sentinel-2 satellite images acquired on 11 July 2025 at 10:56 local time (05:56 UTC). Within the analyzed area of approximately 83,000 km², about 4,900 km² of land appears to be affected by floodwaters. The floodwater extent appears to have increased by approximately 2,800 km² since 1 July 2025. Based on WorldPop population data and the flood extent, approximately 1.6 million people are potentially exposed or living close to the flooded areas.
TerriaJS configuration file for datasets tagged with 'Cryosphere'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Cryosphere' tag.
TerriaJS configuration file for datasets tagged with 'Extent'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Extent' tag.
RGI glacier outlines as a shapefile (with accompanying .dbf, .prj, .cpg and .shx files). This product includes the glacier outlines as extracted from GLIMS together with additional data for each individual glacier.
Monthly precipitation data collected over the last 3 years. Ideal for climate analysis and long-term studies in South Korea.
MAR opportunities in the Darwin catchments
Exposed Buildings - Sao Vicente (13-16 August 2025)
This file contains the affected buildings in the area affected by the flood and mudflow. About 12 km² of land appears to be affected by the flood / mudflow extent. UNOSAT identified around 4200 affected buildings with around 12600 people potentially affected. In addition, approximately 80 km of roads with 5 bridges were affected.
TerriaJS configuration file for TestingOrganization's map catalog. This JSON file contains the visualization settings and data layers specific to TestingOrganization's geospatial resources.
TerriaJS configuration file for ICWRGC's map catalog. This JSON file contains the visualization settings and data layers specific to ICWRGC's geospatial resources.
Kratzert, Frederik and Nearing, Grey and Addor, Nans and Erickson, Tyler and Gauch, Martin and Gilon, Oren and Gudmundsson, Lukas and Hassidim, Avinatan and Klotz, Daniel and Nevo, Sella and others
TerriaJS configuration file for datasets tagged with 'OpenStreetMap'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'OpenStreetMap' tag.
This is the GeoPackage version of the map
Population Exposure to Debris-Rich Floods (Chimanimani and Chipinge)
TerriaJS configuration file for CAZALAC's map catalog. This JSON file contains the visualization settings and data layers specific to CAZALAC's geospatial resources.
Zone 1A Mountains with shallow hard rock North Kenya
Population Exposure to Landslide Run-out (Chimanimani and Chipinge)
TerriaJS configuration file for datasets tagged with 'San Antao'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'San Antao' tag.
Climate stress testing options for CRIDA - a review
This report investigates alternative options for stress testing that allow for a more flexible application of CRIDA, incorporating both more light and advanced approaches. To this end research papers on stress testing methods and their applications have been reviewed. The focus is on the generation of stress test scenarios in relation to drivers of vulnerability and stress test evaluation. The results of the review have been translated into recommendations for CRIDA.
Color coding file for the geology layer (HoA_GE_HAR)
TerriaJS configuration file for datasets tagged with 'Korea'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Korea' tag.
TerriaJS configuration file for datasets tagged with 'Groundwater'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Groundwater' tag.
Water Extent Style File COG (11 July 2025)
This file contains the SLD for the Water Extent style file of 11 July 2025
BUPUSA Flood Hazard Map (Return Period 50 Years, 14 Day Event)
This file contains the flood maps generated for the BuPuSa Basin. It shows the flood extent and depth for a 14 day event with a return period of 50 years.
Landslide Susceptibility Map of Combined Hazards (Source, Depletion, Floods) in Chimanimani and Chipinge
TerriaJS configuration file for datasets tagged with 'irrigation'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'irrigation' tag.
TerriaJS configuration file for datasets tagged with 'Disaster'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Disaster' tag.
Road Exposure to Debris-rich Floods (Chimanimani and Chipinge)
Population and population density for the SNNP Region. The polygons of this SHP represent all settlements of the region, and the population numbers are the combination of surveys and satellite imagery. The units are the number of people per square kilometer with country totals adjusted to match the corresponding official United Nations population estimates that have been prepared by the Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat (2019 Revision of World Population Prospects).
Affected Bridges - Santo Antao (13-16 August 2025)
This file contains the affected roads in the area affected by the floods and mud-flow. About 4 km² of land appears to be affected by the flood / mudflow extent. UNOSAT identified less than 460 affected buildings with less than 1000 people potentially affected. In addition, approximately 5 km of roads with 2 bridges were affected.
Sustainable Drinking Water Infrastructure Resource Hub
A multilingual public resource developed by Environmental & Public Health International (EPHI) that supports equitable, data-driven planning for safe drinking water infrastructure. Provides access to the UNEP-recognized Lead Service Line Replacement Cost Calculator (LSLRCC) and related educational materials aligned with the United Nations SDGs.
TerriaJS configuration file for datasets tagged with 'temperature'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'temperature' tag.
TerriaJS configuration file for datasets tagged with 'dug wells'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'dug wells' tag.
Natural springs in Kenya extracted from OpenStreetMap in October 2024
Minimum precipitation amounts for a 10 year return period
This map shows the minimum precipitation amounts (mm) for a 10 year return period for Argentina using a Regional Frequency Analysis using L-moments (RFA-LM).
TerriaJS configuration file for datasets tagged with 'GEF'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'GEF' tag.
TerriaJS configuration file for datasets tagged with 'Land use'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Land use' tag.
TerriaJS configuration file for datasets tagged with 'DRR'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'DRR' tag.
TerriaJS configuration file for datasets tagged with 'SWALIM'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'SWALIM' tag.
TerriaJS configuration file for datasets tagged with 'Hurricane'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Hurricane' tag.
Flood Extent - Sao Vicente (13-16 August 2025)
This map illustrates satellite-detected mudflow extent in Sao Vicente Municipality, Cabo Verde as observed from Pleiades very high-resolution satellite image.
Population and population density for the Gambela Region. The polygons of this SHP represent all settlements of the region, and the population numbers are the combination of surveys and satellite imagery. The units are the number of people per square kilometer with country totals adjusted to match the corresponding official United Nations population estimates that have been prepared by the Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat (2019 Revision of World Population Prospects).
File uploaded: Lakes_pfaf_76.zip Auto-generated description
Health Facilities - Flood Exposure (1000 Year Return Period) (Chimanimani and Chipinge District, Zimbabwe)
This file contains the locations of health care facilities in Chimanimani and Chipinge Districts, Zimbabwe, that fall within areas exposed to flood events with a 1000-year return period. The data supports analysis of flood risk to heath care infrastructure in the region.
TerriaJS configuration file for datasets tagged with 'Bolivia'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Bolivia' tag.
BUPUSA Flood Hazard Map (Return Period 10 Years, 6 Hour Event)
This file contains the flood maps generated for the BuPuSa Basin. It shows the flood extent and depth for a 6 hour event with a return period of 2 years.
TerriaJS configuration file for datasets tagged with 'Infrastructure'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Infrastructure' tag.
Global Sandwatch Beach Inventory: Descriptive Profiles of Monitored Coastal Sites
This dataset compiles descriptive information on 150 beaches worldwide participating in the UNESCO Sandwatch Programme, a citizen science initiative promoting coastal resilience and climate change adaptation through community-based monitoring. Each record provides key attributes such as beach name, location, associated Sandwatch group, and descriptive notes on composition, geomorphology, and local environment. The dataset serves as a geospatial inventory of Sandwatch monitoring sites, linking each beach to community participants and regional ecosystems. It provides the spatial foundation for integrating biophysical and socio-environmental observations, supporting comparative analyses of beach characteristics, ecological conditions, and human influence across diverse coastal settings. This information complements the broader Sandwatch data collections on erosion, debris, water quality, and human activity, enabling visualization and mapping of global coastal education and monitoring efforts within UNESCO’s Education for Sustainable Development and Climate Change Adaptation frameworks.
TerriaJS configuration file for datasets tagged with 'Flood Extent'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Flood Extent' tag.
TerriaJS configuration file for datasets tagged with 'Wastewater'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Wastewater' tag.
Roads - Flood Exposure (1000 Year Return Period) (Chimanimani and Chipinge District, Zimbabwe)
This file contains the roads in Chimanimani and Chipinge Districts, Zimbabwe, that fall within areas exposed to flood events with a 1000-year return period. The data supports analysis of flood risk to roads in the region.
TerriaJS configuration file for datasets tagged with 'Floods'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Floods' tag.
TerriaJS configuration file for datasets tagged with 'School Safety'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'School Safety' tag.
TerriaJS configuration file for datasets tagged with 'ADA'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'ADA' tag.
TerriaJS configuration file for datasets tagged with 'Turkana'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Turkana' tag.
TerriaJS configuration file for datasets tagged with 'Costa Rica'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Costa Rica' tag.
This presentation introduced the IHP-WINS (Water Information Network System) platform to key Iraqi ministries involved in water management and policy. It highlighted the platform’s role as a central repository for hydrological, climatic, and contextual data, supporting evidence-based decision-making, data sharing, and national digital transformation efforts in line with UNESCO’s IHP-IX priorities.
TerriaJS configuration file for datasets tagged with 'Arsenic'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Arsenic' tag.
TerriaJS configuration file for datasets tagged with 'Water Availability'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Water Availability' tag.
Roads in Chimanimani and Chipinge District, Zimbabwe
This file contains the roads in the Chimanimani and Chipinge Districr in Zimbabwe
TerriaJS configuration file for datasets tagged with 'data-scarcity'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'data-scarcity' tag.
Roads - Flood Exposure (10-50 Year Return Period) (Chimanimani and Chipinge District, Zimbabwe)
This file contains the roads in Chimanimani and Chipinge Districts, Zimbabwe, that fall within areas exposed to flood events with a 10 to 50-year return period. The data supports analysis of flood risk to heath care infrastructure in the region.
TerriaJS configuration file for datasets tagged with 'Time-series'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Time-series' tag.
TerriaJS configuration file for datasets tagged with 'Marsabit'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Marsabit' tag.
TerriaJS configuration file for datasets tagged with 'Lakes'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Lakes' tag.
Boreholes - Physicochemical - Lake Turkana Basin (ETH)
This dataset compiles comprehensive hydrogeological and hydrochemical measurements from a network of borehole sampling sites. For each sample, precise spatial coordinates, elevation, borehole depth, static water level, and yield rate are recorded alongside metadata on sampling methodology, provenance, and project affiliation. In‐field parameters—including temperature, pH, electrical conductivity, total dissolved solids, and turbidity—are complemented by laboratory analyses of major cations (Na⁺, K⁺, Ca²⁺, Mg²⁺), anions (Cl⁻, HCO₃⁻, SO₄²⁻, NO₃⁻, F⁻, etc.), trace metals (Fe, Mn), and indices of organic content (TOC, BOD₅, COD). Accompanying each record are data source attributions (e.g., unpublished theses, government reports, peer‐reviewed articles) and acquisition dates. This integrated dataset supports groundwater quality assessment, aquifer characterization, and sustainable resource management across the study region.
Be-Resilient Citizen Science Water Quality Data (South Africa)
This CSV file contains time-stamped citizen science water quality measurements collected within South African Biosphere Reserves under the Be-Resilient initiative. Each record includes local time and corresponding water quality parameters (e.g. pH, temperature, turbidity, dissolved oxygen, electrical conductivity) measured by trained volunteers. The file represents raw, quality-checked field data prepared for integration into the IHP-WINS platform.
TerriaJS configuration file for datasets tagged with 'Pakistan'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Pakistan' tag.
Saline and Brackish Groundwater Occurence (2012)
TerriaJS configuration file for datasets tagged with 'loggers'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'loggers' tag.
Road Exposure to Landslide Run-outs (Chimanimani and Chipinge)
TerriaJS configuration file for datasets tagged with 'Climate Change'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Climate Change' tag.
TerriaJS configuration file for datasets tagged with 'Health Facilities'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Health Facilities' tag.
TerriaJS configuration file for datasets tagged with 'Weather'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Weather' tag.
Borehole data from Acacia Water (KenyaRapid+) covering the counties of Turkana, Marsabit, Isiolo, Wajir, Garissa in SHP format.
TerriaJS configuration file for datasets tagged with 'Chimanimani'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Chimanimani' tag.
TerriaJS configuration file for datasets tagged with 'unesco'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'unesco' tag.
TerriaJS configuration file for datasets tagged with 'TOMST'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'TOMST' tag.
The color coding for this map follows the original map as much as possible.
Borehole data from Acacia Water (KenyaRapid+) covering the counties of Turkana, Marsabit, Isiolo, Wajir, Garissa in CSV format.
This presentation was delivered to representatives of the Maghreb Region, including IHP National Committees, to showcase the IHP-WINS (Water Information Network System) platform as a tool for data management, sharing, and regional cooperation. It highlighted how IHP-WINS supports national and regional efforts to digitize hydrological and climatic information, strengthen evidence-based decision-making, and align with the priorities of UNESCO’s IHP-IX. The session also addressed opportunities for capacity building and hands-on engagement through future webinars and workshops.
Water Extent Style File COG (1 Juli 2025)
This file contains the SLD for the Water Extent style file of (1 July 2025)
TerriaJS configuration file for datasets tagged with 'soil moisture'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'soil moisture' tag.
TerriaJS configuration file for datasets tagged with 'IoT'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'IoT' tag.
TerriaJS configuration file for datasets tagged with 'Surface Water Monitoring'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Surface Water Monitoring' tag.
TerriaJS configuration file for datasets tagged with 'Ice'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Ice' tag.
Environmental & Public Health International
A dataset in CSV format with coordinates of boreholes in Turkana County. Contains some water quality measurements (EC, pH, T), water struck levels, and water rest levels.
TerriaJS configuration file for datasets tagged with 'Fluoride'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Fluoride' tag.
TerriaJS configuration file for datasets tagged with 'IGRAC'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'IGRAC' tag.
TerriaJS configuration file for datasets tagged with 'Glaciers'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Glaciers' tag.
Zone 3B Flat or gentle sloping areas with low porosity volcanic rocks and weathering products suitable for storage
Schools - Flood Exposure (5-Year Return Period) (Chimanimani and Chipinge District, Zimbabwe)
This file contains the locations of primary and secondary schools in Chimanimani and Chipinge Districts, Zimbabwe, that fall within areas exposed to flood events with a 5-year return period. The data supports analysis of flood risk to educational infrastructure in the region.
TerriaJS configuration file for datasets tagged with 'lorawan'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'lorawan' tag.
TerriaJS configuration file for datasets tagged with 'Climate Data'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Climate Data' tag.
Flood Extent - Central Pakistan (1 July 2025)
This file contains the flood extent extracted from the satellite detected water extent in Sindh, Balochistan and Punjab Provinces, Pakistan as observed from Sentinel-2 satellite images acquired on 1 July 2025 at 10:56 local time (05:56 UTC). Within the analyzed area of approximately 84,000 km², about 2,100 km² of land appears to be affected by floodwaters. Based on WorldPop population data and the flood extent, approximately 600,000 people are potentially exposed or living close to the flooded areas.
TerriaJS configuration file for datasets tagged with 'Garissa'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Garissa' tag.
TerriaJS configuration file for datasets tagged with 'water catchment'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'water catchment' tag.
TerriaJS configuration file for datasets tagged with 'Somalia'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Somalia' tag.
TerriaJS configuration file for datasets tagged with 'Governance'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Governance' tag.
Analysis Extent - Black River, Jamaica (29 Octobre 2025)
TerriaJS configuration file for datasets tagged with 'Sensors'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Sensors' tag.
UNICEF dataset of boreholes in Turkana with water quality measurements
Zone 2AB Flat or gentle sloping areas near zone 1 North Kenya
TerriaJS configuration file for datasets tagged with 'Jamaica'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Jamaica' tag.
TerriaJS configuration file for datasets tagged with 'BGS'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'BGS' tag.
MAR opportunities in the Mitchell catchment
TerriaJS configuration file for datasets tagged with 'Meteorology'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Meteorology' tag.
Population Exposure to Landslide Sources (Chimanimani and Chipinge)
Population and population density for the Tigray Region. The polygons of this SHP represent all settlements of the region, and the population numbers are the combination of surveys and satellite imagery. The units are the number of people per square kilometer with country totals adjusted to match the corresponding official United Nations population estimates that have been prepared by the Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat (2019 Revision of World Population Prospects).
A dataset in CSV format with coordinates of boreholes in Marsabit County. Contains some water quality measurements (EC, pH, T) and water rest levels.
TerriaJS configuration file for datasets tagged with 'Zimbabwe'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Zimbabwe' tag.
TerriaJS configuration file for datasets tagged with 'Environmental monitoring'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Environmental monitoring' tag.
TerriaJS configuration file for datasets tagged with 'Ganges River'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Ganges River' tag.
TerriaJS configuration file for datasets tagged with 'tubewell'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'tubewell' tag.
BUPUSA Flood Hazard Map (Return Period 2 year, 14 Day Event)
This file contains the flood maps generated for the BuPuSa Basin. It shows the flood extent and depth for a 14 day event with a return period of two years.
TerriaJS configuration file for datasets tagged with 'Melissa'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Melissa' tag.
TerriaJS configuration file for datasets tagged with 'North Kenya'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'North Kenya' tag.
TerriaJS configuration file for datasets tagged with 'Global model'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Global model' tag.
Analysis Extent - Central Pakistan (11 July 2025)
This file contains the analysis extent of the area examined during the satellite-detection water extent in Sindh, Balochistan, and Punjab Provinces, Pakistan, as observed from Sentinel-2 satellite images acquired on 31 July 2025 at 13:02 local time (08:02 UTC). Within the analyzed area of approximately 83,000 km², about 6,300 km² of land appears to be affected by floodwaters. The floodwater extent appears to have increased by approximately 1,300 km² since 11 July 2025. Based on WorldPop population data and the flood extent, approximately 2.3 million people are potentially exposed or living close to the flooded areas.
Color coding file for the hydrogeology layer (HG_RECLASS)
TerriaJS configuration file for datasets tagged with 'Monitoring Network'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Monitoring Network' tag.
Water quality dataset from GA 5 station in the Republic of Korea
Population and population density for the Somali Region. The polygons of this SHP represent all settlements of the region, and the population numbers are the combination of surveys and satellite imagery. The units are the number of people per square kilometer with country totals adjusted to match the corresponding official United Nations population estimates that have been prepared by the Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat (2019 Revision of World Population Prospects).
File uploaded: GLWD Absolute Area style file.sld Auto-generated description
UNESCO Regional Office for Eastern Africa - Nairobi Science Sector.json
TerriaJS configuration file for UNESCO Regional Office for Eastern Africa - Nairobi Science Sector's map catalog. This JSON file contains the visualization settings and data layers specific to UNESCO Regional Office for Eastern Africa - Nairobi Science Sector's geospatial resources.
TerriaJS configuration file for datasets tagged with 'Glacier'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Glacier' tag.
Population and population density for the Oromia Region. The polygons of this SHP represent all settlements of the region, and the population numbers are the combination of surveys and satellite imagery. The units are the number of people per square kilometer with country totals adjusted to match the corresponding official United Nations population estimates that have been prepared by the Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat (2019 Revision of World Population Prospects).
Wells - Physicochemical - Lake Turkana Basin (ETH)
This dataset compiles comprehensive hydrogeological and hydrochemical measurements from a network of well sampling sites. For each sample, precise spatial coordinates, elevation, are recorded alongside metadata on sampling methodology, provenance, and project affiliation. In‐field parameters—including temperature, pH, electrical conductivity, total dissolved solids, and turbidity—are complemented by laboratory analyses of major cations (Na⁺, K⁺, Ca²⁺, Mg²⁺), anions (Cl⁻, HCO₃⁻, SO₄²⁻, NO₃⁻, F⁻, etc.), trace metals (Fe, Mn), and indices of organic content (TOC, BOD₅, COD). Accompanying each record are data source attributions (e.g., unpublished theses, government reports, peer‐reviewed articles) and acquisition dates. This integrated dataset supports groundwater quality assessment, aquifer characterization, and sustainable resource management across the study region.
Landslide Susceptibility of Health Facilities in Chimanimani and Chipinge
Collective Report - School Satefy Assessment in Zimbabwe
The collective report is meant to showcase major findings at a glance, thus allowing for a rapid comparison of the levels of safety across the sample and providing an overview of the required interventions, as well as an estimation of the required budget allocation. Individual reports are also available and deliver a more detailed analysis of the application of the VISUS methodology in each assessed school, including all data gathered during the assessment.
TerriaJS configuration file for datasets tagged with 'lithology'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'lithology' tag.
This link leads you to the publication on the UNESDOC site
TerriaJS configuration file for datasets tagged with 'Damage Assessment'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Damage Assessment' tag.
IHP-WINS Launch Webinar Presentation – 28 April 2025
This presentation was delivered during the official launch webinar of the IHP-WINS platform on 28 April 2025. It introduces the vision, mission, and strategic relevance of the Intergovernmental Hydrological Programme – Water Information Network System (IHP-WINS) as a tool to bridge the water data-knowledge gap. It provides a comprehensive overview of key platform features, including the Data Catalogue, Geospatial and Thematic Viewers, Open Learning Platform, and Internet of Things (IoT) integration. Four use cases illustrate practical applications—from national real-time monitoring in the Republic of Korea and global water quality datasets by ICWRGC, to transboundary groundwater management via GaFa-MIS in Eastern Africa and citizen science initiatives supported by UNESCO Chairs. The presentation concludes with a demonstration of how to contribute data to IHP-WINS and a call to join the IHP-WINS Task Force.
Paldang Bridge Water quality monitoring station
Water quality dataset from the Paldang Bridge Water quality monitoring station in the Republic of Korea.
School - Flood Exposure (1000 Year Return Period) (Chimanimani and Chipinge District, Zimbabwe)
This file contains the locations of primary and secondary schools in Chimanimani and Chipinge Districts, Zimbabwe, that fall within areas exposed to flood events with a 1000-year return period. The data supports analysis of flood risk to educational infrastructure in the region.
TerriaJS configuration file for datasets tagged with 'Indonesia'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Indonesia' tag.
Flood Extent - Santo Antao (13-16 August 2025)
This map illustrates satellite-detected mudflow extent in Santo Antao, Cabo Verde as observed from Pleiades very high-resolution satellite image.
(ENG) Climate Risk Informed Decision Analysis (CRIDA): collaborative water resources planning for an uncertain future
English version of the Manual on the Climate Risk Informed Decision Analysis (CRIDA).
CRIDA Implementation in Chimanimani - overview video
This video provides an overview of the CRIDA process implementation in the Chimanimani District in Zimbabwe, coordinated by UNESCO as part of the Be-Resilient Zimbabwe Project, and which is executed as part of the Zimbabwe Idai Recovery Project (ZIRP), funded by the World Bank and managed by UNOPS. The Flanders UNESCO Science Trust Fund (FUST), funded by the Government of Flanders provided further support to this project activity as part of the regional Be Resilient Project for Southern Africa.
Zone 4D Flat sedimentary areas with recent limestones North Kenya
TerriaJS configuration file for datasets tagged with 'Rural Focus'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Rural Focus' tag.
TerriaJS configuration file for datasets tagged with 'Disaster Risk Reduction'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Disaster Risk Reduction' tag.
Cloud Obstruction - Central Pakistan (31 July 2025)
This file contains the cloud obstruction during the satellite-detection of the water extent in Sindh, Balochistan, and Punjab Provinces, Pakistan, as observed from Sentinel-2 satellite images acquired on 31 July 2025 at 13:02 local time (08:02 UTC). Within the analyzed area of approximately 83,000 km², about 6,300 km² of land appears to be affected by floodwaters. The floodwater extent appears to have increased by approximately 1,300 km² since 11 July 2025. Based on WorldPop population data and the flood extent, approximately 2.3 million people are potentially exposed or living close to the flooded areas.
19 Subantarctic Antarctic Islands - RGI2000 v7.0 G
TerriaJS configuration file for datasets tagged with 'reservoirs'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'reservoirs' tag.
TerriaJS configuration file for datasets tagged with 'Northern Australia'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Northern Australia' tag.
MAR opportunities in the darwin catchments style
Somalia geology color coding for Terria Viewer
SLD symbology file for compatibility with Terria Viewer
Meteorological Data for Bolivia during the IHP-WINS Launch
TerriaJS configuration file for Group Two's map catalog. This JSON file contains the visualization settings and data layers specific to Group Two's geospatial resources.
This is the scanned copy of the original geological map of Somalia 0f 1994 by Abbate, Sagri, and Sassi. The file is a zipped GeoTIFF georeferenced and projected in EPSG:32638 - WGS 84 / UTM zone 38N.
TerriaJS configuration file for datasets tagged with 'groundwater quality'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'groundwater quality' tag.
TerriaJS configuration file for datasets tagged with 'World Heritage'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'World Heritage' tag.
TerriaJS configuration file for datasets tagged with 'World Heritage Convention'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'World Heritage Convention' tag.
TerriaJS configuration file for datasets tagged with 'UNOSAT'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'UNOSAT' tag.
TerriaJS configuration file for datasets tagged with 'drought'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'drought' tag.
TerriaJS configuration file for datasets tagged with 'Tanjero River'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Tanjero River' tag.
In this report, two types of adaptation actions are evaluated, particularly a centralized dam and a series of decentralized check dams.
Ganges River UTFI suitability Index style
TerriaJS configuration file for datasets tagged with 'Landslides'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Landslides' tag.
Wells, dug wells, tubewells, boreholes, and springs from mWater in Kenya as of February 2025
Hourly precipitation data collected from stations in South Korea over the last 3 days. This resource is updated every 3 hours to provide the latest data.
TerriaJS configuration file for datasets tagged with 'SWIMS'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'SWIMS' tag.
TerriaJS configuration file for datasets tagged with 'Citizen Science'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Citizen Science' tag.
Analysis Extent - Central Pakistan (31 July 2025)
This file contains the analysis extent of the area examined during the satellite-detection of the water extent in Sindh, Balochistan, and Punjab Provinces, Pakistan, as observed from Sentinel-2 satellite images acquired on 31 July 2025 at 13:02 local time (08:02 UTC). Within the analyzed area of approximately 83,000 km², about 6,300 km² of land appears to be affected by floodwaters. The floodwater extent appears to have increased by approximately 1,300 km² since 11 July 2025. Based on WorldPop population data and the flood extent, approximately 2.3 million people are potentially exposed or living close to the flooded areas.
TerriaJS configuration file for datasets tagged with 'Water Level Monitoring'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Water Level Monitoring' tag.
Auxiliary File for Annual average precipitation change rate for 2041-2070 under SSP245 scenario
Auxiliary File for Annual average precipitation change rate (%) for 2041-2070 under SSP245 scenario.
TerriaJS configuration file for datasets tagged with 'PFAS'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'PFAS' tag.
Affected Roads - Sao Vicente (13-16 August 2025)
This file contains the affected roads in the area affected by the flood and mudflow. About 12 km² of land appears to be affected by the flood / mudflow extent. UNOSAT identified around 4200 affected buildings with around 12600 people potentially affected. In addition, approximately 80 km of roads with 5 bridges were affected. Terria Viewer
TerriaJS configuration file for datasets tagged with 'yield'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'yield' tag.
TerriaJS configuration file for datasets tagged with 'hydrogeological map'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'hydrogeological map' tag.
Damaged Buildings - Black River, Jamaica (29 Octobre 2025)
TerriaJS configuration file for datasets tagged with 'isotopes'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'isotopes' tag.
TerriaJS configuration file for datasets tagged with 'In-situ'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'In-situ' tag.
Cross-border settlements are represented in this SHP. It is recommended that this file is loaded to the viewer at all times when viewing a resource of this dataset.
TerriaJS configuration file for datasets tagged with 'test'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'test' tag.
TerriaJS configuration file for datasets tagged with 'World Heritage List'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'World Heritage List' tag.
This file contains the style exported from QGIS for the Argentinian Drought Atlas
Hourly water level data collected from stations in South Korea. Updated every 3 hours to provide recent measurements of water levels in various rivers.
Landslide Susceptibility of Primary Schools in Chimanimani and Chipinge
This file contains the extent of the sources, run-outs and debris-rich flows of landslides that were triggered by the Idai Cyclone in Chimanimani and Chipinge.
File uploaded: Catchments_pfaf_76.zip Auto-generated description
Saline and Brackish Groundwater Occurence (coastal regions) (2012)
Landslides observed (latitude/longitude) before Cyclone Idai.
TerriaJS configuration file for datasets tagged with 'Timor-Leste'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Timor-Leste' tag.
Flood Impact Overview - Central Pakistan (01 July 2025)
This file contains the overview of the impact extracted from the satellite detected water extent in Sindh, Balochistan and Punjab Provinces, Pakistan as observed from Sentinel-2 satellite images acquired on 1 July 2025 at 10:56 local time (05:56 UTC). Within the analyzed area of approximately 84,000 km², about 2,100 km² of land appears to be affected by floodwaters. Based on WorldPop population data and the flood extent, approximately 600,000 people are potentially exposed or living close to the flooded areas.
(FRA) Analyse décisionnelle basée sur le risque climatique (CRIDA)
Version française de l'Analyse décisionnelle basée sur le risque climatique (CRIDA)
Affected Roads - Santo Antao (13-16 August 2025)
Natural Springs in Kenya extracted from OpenStreetMap in October 2024 and converted to CSV file
BUPUSA Flood Hazard Map (Return Period 2 year, 6 Hour Event)
TerriaJS configuration file for datasets tagged with 'Ganges'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Ganges' tag.
TerriaJS configuration file for datasets tagged with 'Transboundary Water Management'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Transboundary Water Management' tag.
TerriaJS configuration file for datasets tagged with 'Rainfall'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Rainfall' tag.
Surface water - Physicochemical - Lake Turkana Basin (ETH)
This dataset compiles comprehensive hydrogeological and hydrochemical measurements from a network of surface water sampling sites. For each sample, precise spatial coordinates and elevation, are recorded alongside metadata on sampling methodology, provenance, and project affiliation. In‐field parameters—including temperature, pH, electrical conductivity, total dissolved solids, and turbidity—are complemented by laboratory analyses of major cations (Na⁺, K⁺, Ca²⁺, Mg²⁺), anions (Cl⁻, HCO₃⁻, SO₄²⁻, NO₃⁻, F⁻, etc.), trace metals (Fe, Mn), and indices of organic content (TOC, BOD₅, COD). Accompanying each record are data source attributions (e.g., unpublished theses, government reports, peer‐reviewed articles) and acquisition dates. This integrated dataset supports groundwater quality assessment, aquifer characterization, and sustainable resource management across the study region.
Health Facilities - Flood Exposure (250-500 Year Return Period) (Chimanimani and Chipinge District, Zimbabwe)
This file contains the locations of health care facilities in Chimanimani and Chipinge Districts, Zimbabwe, that fall within areas exposed to flood events with a 250 to 500-year return period. The data supports analysis of flood risk to heath care infrastructure in the region.
Final Project Report Friend Nile 2007-2013
The FRIEND/Nile Project – Phase II (2007-2013) aimed to build upon the successes of the first phase by advancing hydrological research and strengthening capacity for sustainable water management across the Nile Basin. Funded by the Flemish Government of Belgium through the Flanders-UNESCO Science Trust Fund (FUST), the project was implemented under the UNESCO International Hydrological Programme (IHP) and involved key institutions from Nile Basin countries, including Egypt, Sudan, Ethiopia, Kenya, and Tanzania. The second phase expanded research efforts to include new thematic areas such as eco-hydrology, stochastic modeling, and erosion and sediment transport. It introduced advanced hydrological models and methodologies to better understand and predict water flow regimes, sediment dynamics, and the impacts of climate variability on water availability. The project facilitated regional cooperation by fostering collaboration among researchers, policymakers, and stakeholders, enabling data sharing and the development of standardized methodologies for water resources management. Key achievements of Phase II included the implementation of capacity-building programs through technical workshops and training sessions, the production of scientific publications, and the establishment of a sustainable regional hydrological network. The project also provided decision-support tools and recommendations to guide water management strategies in the face of growing pressures such as population growth, climate change, and competing water demands.
IHP-WINS Brochure: Empowering Open Science and Data-Driven Water Governance
This brochure introduces the IHP-WINS (Intergovernmental Hydrological Programme – Water Information Network System), UNESCO’s open-access platform dedicated to enhancing water data sharing, integration, and visualization. It outlines the mission and vision of IHP-WINS, its core functionalities—including the Data Catalogue, Geospatial Viewer, Thematic Viewers, Open Learning Platform, and Collaborative Workspaces—and showcases real-world use cases from Member States and regional projects. The brochure also provides guidance on how to contribute and collaborate within the platform, supporting evidence-based decision-making and sustainable water management at local, regional, and global levels.
Flood risk assessment for Chimanimani and Chipinge districts, Zimbabwe - Final report.pdf
Final Report on the Flood Impact Assessment for Chimanimani and Chipinge districts, Zimbabwe. Report produced by Deltares in 2021.
TerriaJS configuration file for datasets tagged with 'Drought Monitoring'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Drought Monitoring' tag.
BUPUSA Flood Hazard Map (Return Period 10 Years, 14 Day Event)
This file contains the flood maps generated for the BuPuSa Basin. It shows the flood extent and depth for a 14 day event with a return period of 10 years.
TerriaJS configuration file for datasets tagged with 'Balochistan'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Balochistan' tag.
Population and population density for the Addis Ababa Region. The polygons of this SHP represent all settlements of the region, and the population numbers are the combination of surveys and satellite imagery. The units are the number of people per square kilometer with country totals adjusted to match the corresponding official United Nations population estimates that have been prepared by the Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat (2019 Revision of World Population Prospects).
Daily river flow rate data collected from stations in South Korea during the current year. Useful for monitoring river discharge rates.
TerriaJS configuration file for datasets tagged with 'Urban'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Urban' tag.
TerriaJS configuration file for datasets tagged with 'Madagascar'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Madagascar' tag.
TerriaJS configuration file for datasets tagged with 'kenya'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'kenya' tag.
Regional Partitions: Lake-TopoCat Global Pfafstetter Level-2
This dataset provides the Pfafstetter Level-2 regional divisions used for the Lake-TopoCat: Global Lake Drainage Topology and Catchment Database (Sikder et al., 2023). It divides the global landmass (excluding Antarctica) into 68 major hydrological regions, following the Pfafstetter hierarchical basin coding scheme. Each polygon represents a large river basin or regional hydrological domain, enabling distributed processing and subsetting of the global Lake-TopoCat database. The shapefile is designed to support regional analyses and efficient data handling for users who wish to work with subsets of the Lake-TopoCat data. Each feature includes a unique Pfafstetter Level-2 ID, region name (where applicable), and attributes referencing upstream/downstream hierarchies.
Final Project Report Friend Nile 2001-2006
This is the final report of the Capacity Building and Networking of the Nile Countries: FRIEND (Flow Regime from International Experimental and Network Data) Nile Project – Phase 1 (Budget Code: 513RAB2042). This project was successfully executed by UNESCO Cairo Regional Office and implemented by University of Dar Es Salaam of Tanzania, National Water Research Center of Egypt, UNESCO Chair in Water Resources of Sudan, University of Nairobi of Kenya and Ministry of Water Resources of Ethiopia. The overall coordinator of this project is the Water Resources Research Institute (WRRI) of Egypt. The project was funded by the Flemish Government of Belgium through the Flanders – UNESCO Science Fund-In-Trust cooperation. All project members express their great appreciation to the Flemish Government of Belgium for funding the project and continued fruitful co-operation with UNESCO. Furthermore, the project team appreciates the technical support and efforts of the Flemish experts leaded by Dr. Rudy Herman, Economy, Science and Innovation Department, Flanders Authority, Belgium. This report is an achievement resulted from fruitful cooperation between the thematic coordinators and research teams in the participating Nile countries. These experts played an active role in the implementation of this project.
Minimum precipitation amounts for a 5 year return period
This map shows the minimum precipitation amounts for 5 year return period for Argentina using a Regional Frequency Analysis using L-moments (RFA-LM).
TerriaJS configuration file for Royal Museum For Central Africa's map catalog. This JSON file contains the visualization settings and data layers specific to Royal Museum For Central Africa's geospatial resources.
HYDROGEOLOGICAL MAPPING OF MARSABIT AQUIFERS
This is a ZIP file containing the reports, the maps, and the raw data in softcopy of the HYDROGEOLOGICAL MAPPING OF MARSABIT AQUIFERS project in PDF format, carried out by Rural Focus.
TerriaJS configuration file for datasets tagged with 'Landslide Susceptibility'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Landslide Susceptibility' tag.
Road Exposure to Landslide Sources (Chimanimani and Chipinge)
(ESP) Análisis de decisiones basadas en el riesgo climático (CRIDA)
Versión en español del Análisis de decisiones basadas en el riesgo climático (CRIDA)
The Global Gravity-based Groundwater Product (G3P) provides groundwater storage anomalies (GWSA) from a cross-cutting combination of GRACE/GRACE-FO-based terrestrial water storage (TWS) and storage compartments of the water cycle (WSCs) that are part of the Copernicus portfolio. The data set comprises gridded anomalies of groundwater, TWS, and the WSCs glacier, snow, soil moisture and surface water bodies plus layers containing uncertainty information for the individual data products. All WSCs are spatially filtered with a Gaussian filter to be compatible with TWS. Spatial coverage is global, except Greenland and Antarctica, with 0.5-degree resolution. Temporal coverage is from April 2002 to September 2023 with monthly temporal resolution. Gridded data sets are available as NetCDF files containing variables for the parameter value as anomaly in mm equivalent water height and the parameter’s uncertainty as mm equivalent water height.
Flood Extent - Central Pakistan (31 July 2025)
This file contains the flood extent in Sindh, Balochistan, and Punjab Provinces, Pakistan, as observed from Sentinel-2 satellite images acquired on 31 July 2025 at 13:02 local time (08:02 UTC). Within the analyzed area of approximately 83,000 km², about 6,300 km² of land appears to be affected by floodwaters. The floodwater extent appears to have increased by approximately 1,300 km² since 11 July 2025. Based on WorldPop population data and the flood extent, approximately 2.3 million people are potentially exposed or living close to the flooded areas.
TerriaJS configuration file for datasets tagged with 'Groundwater Recharge'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Groundwater Recharge' tag.
TerriaJS configuration file for datasets tagged with 'well'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'well' tag.
TerriaJS configuration file for datasets tagged with 'WaterQuality'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'WaterQuality' tag.
TerriaJS configuration file for Solar Chapter's map catalog. This JSON file contains the visualization settings and data layers specific to Solar Chapter's geospatial resources.
TerriaJS configuration file for datasets tagged with 'Horn of Africa'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Horn of Africa' tag.
This file contains the global grids, assembled by combining all 33 wetland grids. This file shows the relative area of all wetland classes combined, in percent of pixel area.
TerriaJS configuration file for UNOSAT 's map catalog. This JSON file contains the visualization settings and data layers specific to UNOSAT 's geospatial resources.
Landslide Susceptibility Map for Landslide Sources in Chimanimani and Chipinge
Population and population density for the Sidama Region. The polygons of this SHP represent all settlements of the region, and the population numbers are the combination of surveys and satellite imagery. The units are the number of people per square kilometer with country totals adjusted to match the corresponding official United Nations population estimates that have been prepared by the Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat (2019 Revision of World Population Prospects).
Natural Springs in Ethiopia extracted from OpenStreetMap in October 2024 and converted to CSV file
TerriaJS configuration file for NASA's map catalog. This JSON file contains the visualization settings and data layers specific to NASA's geospatial resources.
Roads - Flood Exposure (5-Year Return Period) (Chimanimani and Chipinge District, Zimbabwe)
This file contains the roads in Chimanimani and Chipinge Districts, Zimbabwe, that fall within areas exposed to flood events with a 5-year return period. The data supports analysis of flood risk to heath care infrastructure in the region.
Trans-national settlements are represented in this SHP. It is recommended that this file is loaded to the viewer at all times when viewing a resource of this dataset.
TerriaJS configuration file for datasets tagged with 'BuPuSa'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'BuPuSa' tag.
UNESCO Regional Office for Eastern Africa - Nairobi Science Sector
This file contains a legend for Yearly Flood Probabilities
Costa Rica MAR Suitability for spreading methods style
TerriaJS configuration file for datasets tagged with 'wells'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'wells' tag.
Roads - Flood Exposure (250-500 Year Return Period) (Chimanimani and Chipinge District, Zimbabwe)
This file contains the roads in Chimanimani and Chipinge Districts, Zimbabwe, that fall within areas exposed to flood events with a 250 to 500-year return period. The data supports analysis of flood risk to roads in the region.
This .csv file contains the information of the most up to date list of UNESCO World Heritage Sites following the 47th session of the WH Committee.
TerriaJS configuration file for datasets tagged with 'Sandwatch'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Sandwatch' tag.
Water Extent - Central Pakistan (31 July 2025)
TerriaJS configuration file for datasets tagged with 'Asia'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Asia' tag.
Estimated Quantile Styled Layer Decription
TerriaJS configuration file for datasets tagged with 'Spain'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Spain' tag.
Health Facilities - Flood Exposure (5-Year Return Period) (Chimanimani and Chipinge District, Zimbabwe)
This file contains the locations of health care facilities in Chimanimani and Chipinge Districts, Zimbabwe, that fall within areas exposed to flood events with a 5-year return period or less. The data supports analysis of flood risk to heath care infrastructure in the region.
Population and population density for the Amhara Region. The polygons of this SHP represent all settlements of the region, and the population numbers are the combination of surveys and satellite imagery. The units are the number of people per square kilometer with country totals adjusted to match the corresponding official United Nations population estimates that have been prepared by the Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat (2019 Revision of World Population Prospects).
TerriaJS configuration file for datasets tagged with 'Transboundary River Basin'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Transboundary River Basin' tag.
TerriaJS configuration file for Iraqi Ministry of Environment's map catalog. This JSON file contains the visualization settings and data layers specific to Iraqi Ministry of Environment's geospatial resources.
TerriaJS configuration file for datasets tagged with 'Flood Hazard'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Flood Hazard' tag.
Surface Water Monitoring Stations The Gambia
TerriaJS configuration file for datasets tagged with 'Managed Aquifer Recharge'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Managed Aquifer Recharge' tag.
Roads - Flood Exposure (100-200 Year Return Period) (Chimanimani and Chipinge District, Zimbabwe)
This file contains the roads in Chimanimani and Chipinge Districts, Zimbabwe, that fall within areas exposed to flood events with a 100 to 200-year return period. The data supports analysis of flood risk to roads in the region.
Main TerriaJS configuration file for the IHP-WINS map catalog. This JSON file contains the consolidated visualization settings and data layers from all contributing organizations and tags.
TerriaJS configuration file for datasets tagged with 'Water Governance'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Water Governance' tag.
TerriaJS configuration file for datasets tagged with 'Save'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Save' tag.
MAR opportunities in the Mitchell catchment style
TerriaJS configuration file for datasets tagged with 'Monitoring'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Monitoring' tag.
TerriaJS configuration file for datasets tagged with 'Landslide'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Landslide' tag.
TerriaJS configuration file for datasets tagged with 'Sindh'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Sindh' tag.
Possible damaged Cultural Heitage Sites - Sao Vicente (13-16 August 2025)
This file contains the possible damaged Cultural Heitage Sites affected roads in the area affected by the floods and mud-flow. Within the analyzed area of approximately 2 km², about 0.3 km² of land appears to be affected by flood. UNOSAT identified around 300 damaged buildings and approximately 1 km of affected roads.
Landslide Susceptibility (School, Road, Health) Style File
File uploaded: robin_station_metadata_public_v1-1.csv Auto-generated description File uploaded: robin_station_metadata_public_v1-1.csv Auto-generated descriptionFile uploaded: robin_station_metadata_public_v1-1.csv Auto-generated descriptionFile uploaded: robin_station_metadata_public_v1-1.csv Auto-generated descriptionFile uploaded: robin_station_metadata_public_v1-1.csv Auto-generated descriptionFile uploaded: robin_station_metadata_public_v1-1.csv Auto-generated descriptionFile uploaded: robin_station_metadata_public_v1-1.csv Auto-generated descriptionFile uploaded: robin_station_metadata_public_v1-1.csv Auto-generated descriptionFile uploaded: robin_station_metadata_public_v1-1.csv Auto-generated description File uploaded: robin_station_metadata_public_v1-1.csv Auto-generated descriptionFile uploaded: robin_station_metadata_public_v1-1.csv Auto-generated description
The Lead Service Line Replacement Cost Calculator (LSLRCC) is a free, multilingual, web-based tool developed by Environmental & Public Health International (EPHI) to support lead service line replacement planning and budgeting, public health protection, and climate-resilient water infrastructure. The LSLRCC supports compliance with the U.S. Environmental Protection Agency’s Lead and Copper Rule Improvements (LCRI), advances multiple United Nations Sustainable Development Goals, including SDG 6 (Clean Water and Sanitation), SDG 11 (Sustainable Cities and Communities), and SDG 13 (Climate Action), and aligns with World Health Organization (WHO) initiatives on lead in drinking water. It is freely accessible to the public through EPHI’s official website.
TerriaJS configuration file for datasets tagged with 'Flood Exposure'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Flood Exposure' tag.
TerriaJS configuration file for datasets tagged with 'Cabo Verde'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Cabo Verde' tag.
Water Extent COG - Central Pakistan (1 July 2025)
This map illustrates the satellite detected water extent in Sindh, Balochistan and Punjab Provinces, Pakistan as observed from Sentinel-2 satellite images acquired on 1 July 2025 at 10:56 local time (05:56 UTC). Within the analyzed area of approximately 84,000 km², about 2,100 km² of land appears to be affected by floodwaters. Based on WorldPop population data and the flood extent, approximately 600,000 people are potentially exposed or living close to the flooded areas.
TerriaJS configuration file for datasets tagged with 'Water Resources'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Water Resources' tag.
TerriaJS configuration file for datasets tagged with 'aquifer'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'aquifer' tag.
tag_Latin America and the Caribbean.json
TerriaJS configuration file for datasets tagged with 'Latin America and the Caribbean'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Latin America and the Caribbean' tag.
Soil moisture and temperature dataset: TOMST sensors
# About the data: This dataset consists of soil moisture and temperature measurements collected from TOMST (https://tomst.com/web/en/systems/tms/tms-4/) data loggers in several locations in Africa but also in Cuba. The dataset consists of three near-surface temperature measurements (12 cm ground surface (Temp: +12 cm), on the ground surface (Temp: 0 cm), and just below the surface (Temp: -6 cm). Measurements of soil moisture are collected at a depth of 15 cm below the ground using the Time Domain Transmittometry technique. The TOMST loggers record soil moisture measurements as raw electric signals, which have to be converted to volumetric soil moisture content by a calibration approach. At the moment, we have used a global calibration curve (independent of soil texture) as we calibrate the loggers for different textures. The dataset herein includes the raw sensor readings, which can be calibrated using the TMS calibration guide https://tomst.com/web/wp-content/uploads/2023/05/TMS-calibration-handbook.pdf
File uploaded: Basins_pfaf_76.zip Auto-generated description
Water Quality data (BOD, Suspended Solids and water temperature) for station GA 1.
TerriaJS configuration file for datasets tagged with 'MAR Portal'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'MAR Portal' tag.
TerriaJS configuration file for datasets tagged with 'MAR'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'MAR' tag.
TerriaJS configuration file for datasets tagged with 'Acacia Water'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Acacia Water' tag.
Flyer on the VISUS School Satefy Assessment in Zimbabwe
TerriaJS configuration file for datasets tagged with 'Cyclone'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Cyclone' tag.
This is the PDF version of the publication
TerriaJS configuration file for datasets tagged with 'Chipinge'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Chipinge' tag.
TerriaJS configuration file for datasets tagged with 'Population'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Population' tag.
TerriaJS configuration file for datasets tagged with 'Flood Map'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Flood Map' tag.
TerriaJS configuration file for UNESCO World Heritage Convention's map catalog. This JSON file contains the visualization settings and data layers specific to UNESCO World Heritage Convention's geospatial resources.
TerriaJS configuration file for datasets tagged with 'Flood Monitoring'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Flood Monitoring' tag.
UNESCO Chair on Open Water Science and Education.json
TerriaJS configuration file for UNESCO Chair on Open Water Science and Education's map catalog. This JSON file contains the visualization settings and data layers specific to UNESCO Chair on Open Water Science and Education's geospatial resources.
TerriaJS configuration file for datasets tagged with 'spring'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'spring' tag.
Analysis Extent - Santo Antao (13-16 August 2025)
This file contains the area which was analyzed to research the flood impact.
Population and population density for the Dire Dawa Region. The polygons of this SHP represent all settlements of the region, and the population numbers are the combination of surveys and satellite imagery. The units are the number of people per square kilometer with country totals adjusted to match the corresponding official United Nations population estimates that have been prepared by the Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat (2019 Revision of World Population Prospects).
This file contains the style file for the flood maps, the same file is used for all maps to compare flood areass
TerriaJS configuration file for datasets tagged with 'Australia'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Australia' tag.
Affected Bridges - Sao Vicente (13-16 August 2025)
This file contains the affected bridges in the area affected by the flood and mudflow. About 12 km² of land appears to be affected by the flood / mudflow extent. UNOSAT identified around 4200 affected buildings with around 12600 people potentially affected. In addition, approximately 80 km of roads with 5 bridges were affected.
This is the boreholes and wells of the SWIMS portal in SHP format
This map shows the minimum precipitation amounts (mm) for a 10 year return period for Argentina using a Regional Frequency Analysis using L-moments (RFA-LM). EPSG 4326
TerriaJS configuration file for datasets tagged with 'IYOGP'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'IYOGP' tag.
TerriaJS configuration file for datasets tagged with 'CSV'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'CSV' tag.
TerriaJS configuration file for datasets tagged with 'Roads'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Roads' tag.
Hourly meteorological data including temperature, humidity, wind speed, and more, collected from stations in South Korea. The data is updated every 3 hours.
Landslide Susceptibility Single Hazard Stylefile
Boundaries of the Chimanimani and Chipinge District
Landslide Susceptibility of Secondary Schools in Chimanimani and Chipinge
Provides an overview of new approaches that can be explored for CRIDA 2.0
TerriaJS configuration file for GROUP 1's map catalog. This JSON file contains the visualization settings and data layers specific to GROUP 1's geospatial resources.
TerriaJS configuration file for datasets tagged with 'Mud-flow'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Mud-flow' tag.
Atlas de Sequía de América Latina y el Caribe
Latin American and Caribbean Drought Atlas Publication (in Spanish). Núñez Cobo, J. y K. Verbist (Eds.). 2018. Atlas de Sequía de América Latina y el Caribe. UNESCO y CAZALAC, 204p.
Population and population density for the Harari Region. The polygons of this SHP represent all settlements of the region, and the population numbers are the combination of surveys and satellite imagery. The units are the number of people per square kilometer with country totals adjusted to match the corresponding official United Nations population estimates that have been prepared by the Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat (2019 Revision of World Population Prospects).
Health Facilities in Chimanimani and Chipinge District, Zimbabwe
This file contains the locations of health facilities in the Chimanimani and Chipinge District in Zimbabwe
TerriaJS configuration file for datasets tagged with 'ROBIN'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'ROBIN' tag.
TerriaJS configuration file for datasets tagged with 'mwater'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'mwater' tag.
TerriaJS configuration file for datasets tagged with 'ASHRI'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'ASHRI' tag.
TerriaJS configuration file for datasets tagged with 'geological map'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'geological map' tag.
Landslide Susceptibility Combined Hazards Stylefile
Wells in Kenya extracted from OpenStreetMap in October 2024 and converted to CSV file.
TerriaJS configuration file for datasets tagged with 'Argentina'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Argentina' tag.
TerriaJS configuration file for datasets tagged with 'River monitoring'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'River monitoring' tag.
TerriaJS configuration file for datasets tagged with 'hazard interactions'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'hazard interactions' tag.
Daily water level data collected from various stations in South Korea. This dataset covers the last 3 months and is designed for water resource monitoring.
Population and population density for the Benishangul Gumz Region. The polygons of this SHP represent all settlements of the region, and the population numbers are the combination of surveys and satellite imagery. The units are the number of people per square kilometer with country totals adjusted to match the corresponding official United Nations population estimates that have been prepared by the Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat (2019 Revision of World Population Prospects).
Wells in Kenya extracted from OpenStreetMap in October 2024
TerriaJS configuration file for datasets tagged with 'GLWD'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'GLWD' tag.
Hydrological Data from the fictive project (2025) for the IHP-WINS Launch
TerriaJS configuration file for datasets tagged with 'Iraq'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Iraq' tag.
TerriaJS configuration file for datasets tagged with 'Surface Water'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Surface Water' tag.
Sulaimani Wastewater PhysicoChemical Nutrients
This dataset compiles per-site min, max, and mean values for core physico-chemical and nutrient parameters measured at nine sewer outlets (S1–S9) in the Sulaimani–Tanjero system. Fields include site metadata (ID, coordinates, elevation, location) and: Temperature, pH, EC, TDS, Turbidity, Total Hardness, Ca, Mg, Nitrate (NO₃⁻), Chloride (Cl⁻), Sulfate (SO₄²⁻), plus derived Alkalinity (seasonal data aggregated where Autumn was not detected). Use this file to assess salinity, hardness, and nutrient/ionic profiles that inform reuse suitability and the selection of treatment processes (e.g., coagulation–filtration, softening, membrane options).
TerriaJS configuration file for datasets tagged with 'SIDS'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'SIDS' tag.
Water Extent - Central Pakistan (11 July 2025)
TerriaJS configuration file for datasets tagged with 'Wetlands'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Wetlands' tag.
Zone 3F Flat or gentle sloping areas with high porosity volcanic rocks and weathering products unsuitable for storage
TerriaJS configuration file for datasets tagged with 'Sao Vicente'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Sao Vicente' tag.
Landslide locations (latitude and longitude) observed after Cyclone Idai.
National Directorate for the Regulation of Water and Sanitation in Timor-Leste.json
TerriaJS configuration file for National Directorate for the Regulation of Water and Sanitation in Timor-Leste's map catalog. This JSON file contains the visualization settings and data layers specific to National Directorate for the Regulation of Water and Sanitation in Timor-Leste's geospatial resources.
This dataset aggregates organic load and trace metal indicators for nine sewer outlets (S1–S9). It includes per-site COD and BOD₅ (with computed COD/BOD ratios where both are available) and dissolved metals: Fe, Zn, Cu, Cr, Cd, Pb (min, max, mean). Where measured, daily flow (m³/day) is included for estimating pollutant loads (sites S2–S7). Combine this file with the companion physico-chemical dataset to evaluate biodegradability, toxicity risks, and pretreatment/industrial-source controls required for wastewater treatment plant design and safe water reuse planning.
TerriaJS configuration file for datasets tagged with 'suitability map'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'suitability map' tag.
TerriaJS configuration file for datasets tagged with 'Mozambique'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Mozambique' tag.
Daily meteorological data collected from monitoring stations in South Korea. This resource covers the last 3 months and is ideal for climate analysis.
TerriaJS configuration file for datasets tagged with 'Weather Monitoring'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Weather Monitoring' tag.
tag_Decade of Action for Cryospheric Sciences.json
TerriaJS configuration file for datasets tagged with 'Decade of Action for Cryospheric Sciences'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Decade of Action for Cryospheric Sciences' tag.
TerriaJS configuration file for datasets tagged with 'Flood Analysis'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Flood Analysis' tag.
Flood Extent - Central Pakistan (11 July 2025)
This file contains the satellite-detected water extent in Sindh, Balochistan, and Punjab Provinces, Pakistan, as observed from Sentinel-2 satellite images acquired on 11 July 2025 at 10:56 local time (05:56 UTC). Within the analyzed area of approximately 83,000 km², about 4,900 km² of land appears to be affected by floodwaters. The floodwater extent appears to have increased by approximately 2,800 km² since 1 July 2025. Based on WorldPop population data and the flood extent, approximately 1.6 million people are potentially exposed or living close to the flooded areas.
TerriaJS configuration file for datasets tagged with 'Groundwater Monitoring'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Groundwater Monitoring' tag.
This file contains the global grids, assembled by combining all 33 wetland grids. This file shows the dominant wetland class within pixel, only for pixels where the total wetland extent exceeds 50% (in cases of ties, the lower wetland class is chosen); value 0 indicates inland pixels where dryland (non-wetland) dominates.
Intergovernmental Hydrological Programme
TerriaJS configuration file for datasets tagged with 'Wajir'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Wajir' tag.
TerriaJS configuration file for datasets tagged with 'TWAP'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'TWAP' tag.
Artifical recharge suitability South Africa
12 Caucasus Middle East - RGI2000 v7.0 G
TerriaJS configuration file for datasets tagged with 'IoT Sensors'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'IoT Sensors' tag.
TerriaJS configuration file for datasets tagged with 'Water-Related Disasters'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Water-Related Disasters' tag.
TerriaJS configuration file for datasets tagged with 'flood'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'flood' tag.
TerriaJS configuration file for datasets tagged with 'operation'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'operation' tag.
Water Extent - Central Pakistan (1 July 2025)
TerriaJS configuration file for datasets tagged with 'geology'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'geology' tag.
Flood Impact Overview - Central Pakistan (31 July 2025)
This file contains the overview of the impact extracted from the satellite-detected water extent in Sindh, Balochistan, and Punjab Provinces, Pakistan, as observed from Sentinel-2 satellite images acquired on 31 July 2025 at 13:02 local time (08:02 UTC). Within the analyzed area of approximately 83,000 km², about 6,300 km² of land appears to be affected by floodwaters. The floodwater extent appears to have increased by approximately 1,300 km² since 11 July 2025. Based on WorldPop population data and the flood extent, approximately 2.3 million people are potentially exposed or living close to the flooded areas.
TerriaJS configuration file for datasets tagged with 'springs'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'springs' tag.
Schools - Flood Exposure (10-50 Year Return Period) (Chimanimani and Chipinge District, Zimbabwe)
This file contains the locations of primary and secondary schools in Chimanimani and Chipinge Districts, Zimbabwe, that fall within areas exposed to flood events with a 10 to 50-year return period. The data supports analysis of flood risk to educational infrastructure in the region.
TerriaJS configuration file for datasets tagged with 'Africa'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Africa' tag.
Republic of Korea IHP National Committee.json
TerriaJS configuration file for Republic of Korea IHP National Committee's map catalog. This JSON file contains the visualization settings and data layers specific to Republic of Korea IHP National Committee's geospatial resources.
HYDROGEOLOGICAL MAPPING OF TURKANA AQUIFERS
This is a ZIP file containing the reports, the maps, and the raw data in softcopy of the HYDROGEOLOGICAL MAPPING OF TURKANA AQUIFERS project in PDF format, carried out by Rural Focus.
TerriaJS configuration file for datasets tagged with 'World Heritage Site List'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'World Heritage Site List' tag.
Approaching climate and disasters in an age of uncertainty
Case studies addressing the impact of climate change on water resources.
Exposed Buildings - Santo Antao (13-16 August 2025)
This file contains the affected buildings in the area affected by the flood and mudflow. About 4 km² of land appears to be affected by the flood / mudflow extent. UNOSAT identified less than 460 affected buildings with less than 1000 people potentially affected. In addition, approximately 5 km of roads with 2 bridges were affected.
Landslide Susceptibility Map for Debris-rich Floods in Chimanimani and Chipinge
TerriaJS configuration file for IHE Delft's map catalog. This JSON file contains the visualization settings and data layers specific to IHE Delft's geospatial resources.
TerriaJS configuration file for datasets tagged with 'Cyclone Idai'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Cyclone Idai' tag.
Population and population density for the Afar Region. The polygons of this SHP represent all settlements of the region, and the population numbers are the combination of surveys and satellite imagery. The units are the number of people per square kilometer with country totals adjusted to match the corresponding official United Nations population estimates that have been prepared by the Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat (2019 Revision of World Population Prospects).
TerriaJS configuration file for datasets tagged with 'water level'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'water level' tag.
TerriaJS configuration file for datasets tagged with 'Water contamination'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Water contamination' tag.
TerriaJS configuration file for datasets tagged with 'Schools'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Schools' tag.
TerriaJS configuration file for datasets tagged with 'Isiolo'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Isiolo' tag.
TerriaJS configuration file for datasets tagged with 'Solar Chapter'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Solar Chapter' tag.
Wells in Ethiopia extracted from OpenStreetMap in October 2024
Water Extent COG - Central Pakistan (30 June 2025)
TerriaJS configuration file for World Wide Fund for Nature (WWF)'s map catalog. This JSON file contains the visualization settings and data layers specific to World Wide Fund for Nature (WWF)'s geospatial resources.
TerriaJS configuration file for datasets tagged with 'NASA'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'NASA' tag.
Health Facilities - Flood Exposure (100-200 Year Return Period) (Chimanimani and Chipinge District, Zimbabwe)
This file contains the locations of health care facilities in Chimanimani and Chipinge Districts, Zimbabwe, that fall within areas exposed to flood events with a 100 to 200-year return period. The data supports analysis of flood risk to heath care infrastructure in the region.
Suspended sediment load data collected from river monitoring stations in South Korea over the last 3 years. This dataset is valuable for studying sedimentation and its impact on rivers.
TerriaJS configuration file for IGRAC's map catalog. This JSON file contains the visualization settings and data layers specific to IGRAC's geospatial resources.
Idai Landslide Source Points in Chimanimani and Chipinge
This dataset contains the locations of the source points of the landslides that were triggered by the Idai Cyclone.
TerriaJS configuration file for datasets tagged with 'VISUS'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'VISUS' tag.
TerriaJS configuration file for datasets tagged with 'World Heritage Sites'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'World Heritage Sites' tag.
Landslide Susceptibility Map for Landslide Run-outs in Chimanimani and Chipinge
Wells in Ethiopia extracted from OpenStreetMap in October 2024 and converted to CSV file.
TerriaJS configuration file for datasets tagged with 'Punjab'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Punjab' tag.
Analysis Extent - Central Pakistan (1 July 2025)
This file contains the analysis extent of the area examined during the satellite-detection of the water extent in Sindh, Balochistan and Punjab Provinces, Pakistan as observed from Sentinel-2 satellite images acquired on 1 July 2025 at 10:56 local time (05:56 UTC). Within the analyzed area of approximately 84,000 km², about 2,100 km² of land appears to be affected by floodwaters. Based on WorldPop population data and the flood extent, approximately 600,000 people are potentially exposed or living close to the flooded areas.
Natural springs in Ethiopia extracted from OpenStreetMap in October 2024
Kratzert, F., Nearing, G., Addor, N., Erickson, T., Gauch, M., Gilon, O., Gudmundsson, L., Hassidim, A., Klotz, D., Nevo, S., & others
National Report on IHP Related Activities Republic of Korea
This is the SLD Style File to use on the Regional Partitions in the Geospatial Viewer.
Technical Report describing the methodology to derive the Landslide Susceptibility Maps from observed landslides and geomorphological features of the landscape.
TerriaJS configuration file for Kansas State University 's map catalog. This JSON file contains the visualization settings and data layers specific to Kansas State University 's geospatial resources.
TerriaJS configuration file for datasets tagged with 'aquifers'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'aquifers' tag.
TerriaJS configuration file for datasets tagged with 'UNICEF'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'UNICEF' tag.
TerriaJS configuration file for datasets tagged with 'Flood Risk'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Flood Risk' tag.
TerriaJS configuration file for datasets tagged with 'geonode'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'geonode' tag.
TerriaJS configuration file for datasets tagged with 'Jordan'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Jordan' tag.
Daily precipitation data collected from monitoring stations in South Korea. This dataset covers the last 3 months and is updated daily.
TerriaJS configuration file for datasets tagged with 'Flood Assessment'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Flood Assessment' tag.
TerriaJS configuration file for datasets tagged with 'stratigraphy'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'stratigraphy' tag.
Zone 3D Flat or gentle sloping areas with volcanic rocks with varying porosity and weathering products North Kenya
Schools in the Chimanimani and Chipinge Districts, Zimbabwe
This file contains the locations of primary and secondary schools in the Chimanimani and Chipinge District in Zimbabwe
Analysis Extent - Sao Vicente (13-16 August 2025)
TerriaJS configuration file for datasets tagged with 'borehole'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'borehole' tag.
TerriaJS configuration file for datasets tagged with 'environment'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'environment' tag.
TerriaJS configuration file for datasets tagged with 'Pungwe'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Pungwe' tag.
Zone 3A Mountains with low porosity volcanic rocks and weathering products suitable for storage North Kenya
This dataset provides polygon shapefiles of upstream catchment boundaries for hydrometric stations in the ROBIN Public Dataset. These boundaries were used to derive static catchment attributes from HydroATLAS using the CARAVAN code (Kratzert et al., 2023), and are linked to the metadata via unique ROBIN IDs. The shapefiles support spatial analyses and are available through the ROBIN GitHub repository: https://github.com/NERC-CEH/ROBIN_pipeline.
TerriaJS configuration file for Gambia IHP National Committee's map catalog. This JSON file contains the visualization settings and data layers specific to Gambia IHP National Committee's geospatial resources.
TerriaJS configuration file for National Snow and Ice Data Center's map catalog. This JSON file contains the visualization settings and data layers specific to National Snow and Ice Data Center's geospatial resources.
TerriaJS configuration file for datasets tagged with 'Ethiopia'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'Ethiopia' tag.
TerriaJS configuration file for datasets tagged with 'South Africa'. This JSON file contains the visualization settings and data layers for all datasets associated with the 'South Africa' tag.
Rezan Omer Rasheed & Tavga Ahmed HamaKarim
Republic of Korea IHP National Committee