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Location Folder Show Tree ROOT _ScienceBase Catalog 3DSC Alaska Science Center (ASC) Alkalic Igneous Centers of the Great Plains and Rocky Mountains: Data in Support of Critical Mineral Resource Studies AMMonitor: Remote wildlife monitoring for adaptive management Amphibian Research and Monitoring Initiative More... Filters Date Range Past year (3) Past month (0) Past week (0) Past day (0) Custom range... To   Search Types Map Service (3) OGC WFS Layer (3) OGC WMS Layer (3) Contacts Justin T Brandt U.S. Geological Survey Jonathan A Traum Claudia C Faunt Jonathan V Haynes More... Categories Data (2) Project (1) Tag Types Theme (2) USGS Scientific Topic Keyword (1) Place (2) Harvest Set (1) View Results as: JSON ATOM CSV Browse Folder

Irrigation water use reanalysis for the 2000-20 period by HUC12, month, and year for the conterminous United States This data release provides a monthly irrigation water use reanalysis for the period 2000-20 for all USGS Watershed Boundary Dataset of Subwatersheds (HUC12) in the conterminous United States (CONUS). Results include reference evapotranspiration (ETo), actual evapotranspiration (ETa), irrigated areas, consumptive use, and effective precipitation for each HUC12. ETo and ETa were estimated using the operational Simplified Surface Energy Balance (SSEBop, Senay and others, 2013; Senay and others, 2020) model executed in the OpenET (Melton and others, 2021) web-based application implemented in Google Earth Engine. Results provided by OpenET/SSEBop were summarized to hydrologic response units (HRUs) in the National Hydrologic... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Conterminous United States (CONUS), Geography, Hydrology, USGS Science Data Catalog (SDC), Water Resources, All tags... evapotranspiration, irrigation, landuse, water use, Fewer tags LANID: Landsat-based irrigation dataset for CONUS 2018-20 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 CVHM2: Central Valley Hydrologic Model version 2 The Central Valley covers about 20,000 square miles and is one of the most productive agricultural regions in the world. Because the valley is semi-arid, surface-water availability varies substantially. Agricultural demand for irrigation is heavily reliant on surface water and groundwater. In the last few decades, land-use changes and limitations to surface-water availability—including drought and environmental flows—have increased pumping, causing groundwater-level and groundwater-storage declines, renewed subsidence, decreased stream flows, and changes to ecosystems. As these recent trends continue, monitoring, data compilation, and modeling are critical to understanding the dynamics of groundwater use and developing... Categories: Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Agricultural, CVHM, CVHM2, California, Central Valley, All tags... Central Valley of California, Groundwater Model, Subsidence, usgsgroundwatermodel, Fewer tags