Earth Resources Observation and Science (EROS)
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Digital Elevation Model (DEM) of the Middle Krishna (K2) sub-basin.The data is obtained from HydroSHED (https://hydrosheds.org).
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Digital elevation model (DEM) of the Malaprabha (K4) sub-basin.The data is obtained from HydroSHED (https://hydrosheds.org).
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Digital elevation model (DEM) of the Ghataprabha (K3) sub-basin.The data is obtained from HydroSHED (https://hydrosheds.org).
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Precipitation calculated in the Ghataprabha (K3) sub-basin area, derived from the Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) (ftp://ftp.chg.ucsb.edu/pub/org/chg/products/CHIRPS-2.0/). Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) is a 35+ year quasi-global rainfall data set. Spanning 50°S-50°N (and all longitudes) and ranging from 1981 to near-present, CHIRPS incorporates in-house climatology, CHPclim, 0.05° resolution satellite imagery, and in-situ station data to create gridded rainfall time series for trend analysis and seasonal drought monitoring. More information at https://www.chc.ucsb.edu/data/chirps
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Number of rainy days calculated in the Middle Krishna 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 the Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS).
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This land cover dataset covering the Middle Krishna sub-basin area is based on a national land cover map produced by NRSC (National Remote Sensing Center), India. The distinction between irrigated and rainfed areas is done using command areas provided by our local partner ACIWRM (Advanced Center for Integrated Water Resources Management), protected and not protected areas are derived using the database developed by WDPA, https://www.protectedplanet.net/. It is published on a yearly basis. The classification scheme is the WA+ standard classification scheme.
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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 the Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS).
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Precipitation calculated for the Tonle Sap river basin area, derived from the Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) (ftp://ftp.chg.ucsb.edu/pub/org/chg/products/CHIRPS-2.0/). Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) is a 35+ year quasi-global rainfall data set. Spanning 50°S-50°N (and all longitudes) and ranging from 1981 to near-present, CHIRPS incorporates in-house climatology, CHPclim, 0.05° resolution satellite imagery, and in-situ station data to create gridded rainfall time series for trend analysis and seasonal drought monitoring. More information at https://www.chc.ucsb.edu/data/chirps
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Precipitation calculated in the Middle Krishna sub-basin area, derived from the Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) (ftp://ftp.chg.ucsb.edu/pub/org/chg/products/CHIRPS-2.0/). Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) is a 35+ year quasi-global rainfall data set. Spanning 50°S-50°N (and all longitudes) and ranging from 1981 to near-present, CHIRPS incorporates in-house climatology, CHPclim, 0.05° resolution satellite imagery, and in-situ station data to create gridded rainfall time series for trend analysis and seasonal drought monitoring. More information at https://www.chc.ucsb.edu/data/chirps
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This land cover dataset, covering the Ghataprabha sub-basin area, is based on a national land cover map produced by NRSC (National Remote Sensing Center), India. The distinction between irrigated and rainfed areas is done using command areas provided by our local partner ACIWRM (Advanced Center for Integrated Water Resources Management), protected and not protected areas are derived using the database developed by WDPA, https://www.protectedplanet.net/. It is published on a yearly basis. The classification scheme is the WA+ standard classification scheme.