Filters: Tags: Water Use (X) > Date Range: {"choice":"week"} (X)
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These datasets are created during the irrigation reanalysis workflow (irrigation_reanalysis.zip). The actet_openet.cbh, potet_openet.cbh, and dyn_ag_frac.param area created during step one of the workflow when converting daily OpenET/SSEBop results into input for the NHM. The nhm_2000_2020_ag_irrigation_add.csv, and nhm_2000_2020_ag_irrigation_add_vol.csv area estimated daily results output by the NHM.
Categories: Data;
Tags: Conterminous United States (CONUS),
evapotranspiration,
irrigation,
landuse,
water use
The Landsat-based Irrigation Dataset (LANID) uses a random-forest machine-learning model with greenness and vegetative indices, climate data, and crop masks to identify irrigated crops (Xie and others, 2021, Xie and Lark, 2021). Separate western US and eastern US methods are used to train and validate the model. Annual LANID maps for 2018-20 were created using the same techniques in Xie and others, 2021, and Xie and Lark, 2021.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Conterminous United States (CONUS),
irrigation,
landuse,
water use
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