378 conjuntos de datos encontrados

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.

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.

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.

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.

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.

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).

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).

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.

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.

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)

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) 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.

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.

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.

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 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.

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.

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.

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.