6 datasets found

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.

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.

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.

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.

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.

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.