5 conjuntos de datos encontrados

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).

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.

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 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).

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.