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Major hydrological basins of the world
This dataset was obtained by delineating drainage basin boundaries from hydrologically corrected elevation data (HydroSHEDS and Hydro1K). Input data resolution is 15 arc-seconds between 60 N and 60... -
Crop Water Requirement Tool (CropWat-online)
The Crop Water Requirement Tool (CropWat-online) is a tool to explore spatial weather data and use that data to run a crop-water-requirement model called CROPWAT. It gives information on... -
Irrigation areas v.5 (Global - 5 arc/min)
Global Map of Irrigation Areas - Version 5 Grid with percentage of area equipped for irrigation with a spatial resolution of 5 arc minutes or 0.083333 decimal degrees. This dataset is developed in... -
Agricultural systems at risk: human pressure on land and water (Global - 5arc-min)
This map shows to which extent rainfed and irrigated agricultural systems as identified on SOLAW Map 1.3: "Major agricultural systems" suffer from land and / or water scarcity. Land... -
Saturated Soil Water Content (Tigris and Euphrates River Basins - 250m)
Saturated soil water content from A High Resolution Soil Map of Hydraulic Properties Data creation: 2023-01-25 Supplemental Information: No data value: -9999 Contact points: Metadata Contact:... -
Major agricultural systems (Global)
This map builds upon work done by Dixon (Dixon et al., 2001) in an attempt to propose a general classification of major farming systems. Based on a combination of global dataset, the map proposes a... -
Land cover classification (Nura-Sarysu - Kazakhstan - Yearly - 500m)
Land Cover Classification covering the Nura-Sarysu Water Economic basin with complete drainage area of the Nura and Sarysu rivers and Lake Tengiz with buffer. This land cover dataset is based on... -
Land cover classification (Selenga, Mongolia - Yearly - 500m)
Land Cover Classification covering the Mongolian Selenga Basin and the Selenga drainage area to Naushki, beyond the boundaries of Mongolia. This land cover dataset is based on the Copernicus GLobal... -
Number of rainy days (K4, Karnataka, India - Monthly - 250m)
Number of rainy days calculated in the Malaprabha (K4) sub-basin area. For every pixel, the number of rainy days in a month is reported. This dataset is created by using daily rainfall data from... -
Dry matter productivity (K4, Karnataka, India - Monthly - 250m)
Dry Matter Productivity in the Malaprabha (K4) sub-basin area. The Dry Matter Productivity is the dry biomass increase of the vegetation in a given month. Data is obtained from Copernicus Global... -
Dry matter productivity (K3, Karnataka, India - Monthly - 250m)
Dry Matter Productivity in the Ghataprabha (K3) sub-basin area. The Dry Matter Productivity is the dry biomass increase of the vegetation in a given month. Data is obtained from Copernicus Global... -
Leaf area index (K4, Karnataka, India - Monthly - 250m)
Leaf Area Index calculated in the Malaprabha (K4) sub-basin area. The Leaf Area Index or LAI is a dimensionless quantity which is used to characterize plant canopies. It is defined as the one-sided... -
Leaf area index (K3, Karnataka, India - Monthly - 250m)
Leaf Area Index calculated in the Ghataprabha (K3) sub-basin area. The Leaf Area Index or LAI is a dimensionless quantity which is used to characterize plant canopies. It is defined as the... -
Number of rainy days (K3, Karnataka, India - Monthly - 250m)
Number of rainy days calculated in the Ghataprabha (K3) sub-basin area. For every pixel, the number of rainy days in a month is reported. This dataset is created by using daily rainfall data from... -
Dry matter productivity (K2, Karnataka, India - Monthly - 250m)
Dry Matter Productivity in the Middle Krishna sub-basin area. The Dry Matter Productivity (DMP) is the dry biomass increase of the vegetation in a given month. Data is obtained from Copernicus... -
Leaf area index (K2, Karnataka, India - Monthly - 250m)
Leaf Area Index calculated in the Middle Krishna (K2) sub-basin area. The Leaf Area Index or LAI is a dimensionless quantity which is used to characterize plant canopies. It is defined as the... -
Precipitation (Tonle Sap, Cambodia - Monthly - 250m)
Precipitation calculated for the Tonle Sap river basin area, derived from the Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS)... -
Digital Elevation Model (K4, Karnataka, India)
Digital elevation model (DEM) of the Malaprabha (K4) sub-basin.The data is obtained from HydroSHED (https://hydrosheds.org). Data publication: 2020-01-01 Supplemental Information: No data value:... -
Precipitation (K4, Karnataka, India - Monthly - 250m)
Precipitation calculated in the Malaprabha (K4) sub-basin area, derived from the Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS)... -
Hydrological basins in Africa
This dataset divides the African continent in major hydrological basins and their sub-basins according to its hydrological characteristics. It was obtained by delineating drainage basin boundaries...