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This data set represents the extent, approximate location and type of wetlands and deepwater habitats in the United States and its Territories. These data delineate the areal extent of wetlands and surface waters as defined by Cowardin et al. (1979). Certain wetland habitats are excluded from the National mapping program because of the limitations of aerial imagery as the primary data source used to detect wetlands. These habitats include seagrasses or submerged aquatic vegetation that are found in the intertidal and subtidal zones of estuaries and near shore coastal waters. Some deepwater reef communities (coral or tuberficid worm reefs) have also been excluded from the inventory. These habitats, because of their...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Academics & scientific researchers, Alabama, Alabama, Alaska, Arizona, All tags...
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The Red River Stakeholder Engagement project’s primary objective was to uncover areas of concern for stakeholders who live, work, and play along the Red River Basin. It examined the complexity of the cultural-geographic landscape across the Red River Basin. By focusing on both the geographic and the cultural, we gain a better understanding of how individuals, communities, and organizations interact with the basin and with one another, how they arecurrently experiencing changes, and what they perceive a changing climate means for them.This cultural-geographic approach recognizes that stakeholders’ concerns, priorities, and actions likely vary across space-and also vary in their cultural significance. For example,...
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Members from the U.S. Geological Survey (USGS) Patterns in the Landscape - Analyses of Cause and Effect (PLACE) team are releasing monthly surface water maps for the conterminous United States (U.S.) from 2003 through 2019 as 250-meter resolution geoTIFF files. The maps were produced using the Dynamic Surface Water Extent (DSWE) algorithm applied to daily Moderate Resolution Imaging Spectroradiometer (MODIS) imagery (DSWEmod) (Soulard et al., 2021) - see associated items. The DSWEmod model classifies the landscape (i.e., each MODIS pixel) into different classes of surface water based on quantified levels of confidence, including, i) high-confidence surface water (class 1), ii) moderate-confidence surface water (class...
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Members from the U.S. Geological Survey (USGS) Patterns in the Landscape - Analyses of Cause and Effect (PLACE) team are releasing monthly surface water maps for the conterminous United States (U.S.) from 2003 through 2019 as 250-meter resolution geoTIFF files. The maps were produced using the Dynamic Surface Water Extent (DSWE) algorithm applied to daily Moderate Resolution Imaging Spectroradiometer (MODIS) imagery (DSWEmod) (Soulard et al., 2021) - see associated items. The DSWEmod model classifies the landscape (i.e., each MODIS pixel) into different classes of surface water based on quantified levels of confidence, including, i) high-confidence surface water (class 1), ii) moderate-confidence surface water (class...
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The U.S. Geological Survey (USGS), in cooperation with the U.S. Army Corps of Engineers Engineer Research and Development Center and the U.S. Environmental Protection Agency, developed a predictive, mechanistic, three-dimensional hydrodynamic model for the St. Louis River Estuary (SLRE), Minnesota. This model was developed with Environmental Fluid Dynamics Code (EFDC), a grid-based, surface-water modeling package for simulating three-dimensional circulation, mass transport, sediments, and biogeochemical processes. The new model predicts discharge, water-surface elevations, flow velocity, and water temperature. The model was calibrated using data collected from April 2016 through November 2016 and validated with...
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This part of the Data Release contains the raster representation of the water-level altitude and water-level change maps developed every 5 years from 1980-2015 for the upper Rio Grande Focus Area Study. The input point data used to generate the water-level altitude maps can be found in the "Groundwater level measurement data used to develop water-level altitude maps in the upper Rio Grande Alluvial Basins" child item of this data release. These digital data accompany Houston, N.A., Thomas, J.V., Foster, L.K., Pedraza, D.E., and Welborn, T.L., 2020, Hydrogeologic framework, groundwater-level altitudes, groundwater-level changes, and groundwater-storage changes in selected alluvial basins of the upper Rio Grande...
Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Abiquiu Reservoir, Ahumada, Alamosa, Alamosa County, Alamosa Creek, All tags...
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This child item contains ground penetrating radar (GPR) data collected over a small alpine wetland between Mogul Mine and Cement Creek located near Silverton, Colorado. Mine-impacted water is transported to Cement Creek via surface channels and groundwater through this wetland. The GPR method transmits radar pulses into the ground and measures the returned amplitude from these pulses over time. Variations in subsurface electromagnetic (EM) properties (dielectric permittivity, electrical conductivity, and magnetic susceptibility) affect the timing and amplitude of returned radar energy. For example, variation in water or mineral content are physical properties that often influence the EM properties that are observed...
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This child item contains frequency domain electromagnetic induction (FDEM) data collected along and around Cement Creek and California Gulch near Silverton, Colorado in support of other data collected at the site. The FDEM tool generates an EM field and measures eddy currents generated by conductive and/or magnetic materials in the subsurface in response to the applied field. A Geophex GEM-2 instrument with GPS was used with 5 frequencies ranging from 450 Hz to 18330 Hz. Additional details are contained in the ‘readme.txt’ files within each zip data directory.
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In cooperation with the South Carolina Department of Transportation (SCDOT), the U.S. Geological Survey prepared geospatial layers illustrating the boundaries of the regions used in the South Carolina (SC) Stream Hydrograph Methods presented in Bohman (1990,1992). The region limits were described in written text and depicted in figures in Bohman (1990, 1992), but have not been provided as geospatial layers (due to the age of the original publications). This project used best-available geospatial data from the U.S. Environmental Protection Agency (USEPA) ecoregions (2013) to create equivalent geospatial representations of the Bohman (1990, 1992) region boundaries for the SC Stream Hydrograph Methods. These layers...
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A shapefile of the extent of irrigated agricultural fields which includes an attribute table of the irrigated acreage for the period between January and December 2020 was compiled for Alachua, Baker, Bradford, Columbia, Dixie, Gilchrist, Hamilton, Jefferson, Lafayette, Levy, Madison, Suwannee, Taylor, and Union Counties, Florida. These counties are fully or partially within the Suwannee River Water Management District boundaries. Attributes for each polygon that represents a field include a general or specific crop type, irrigation system, and primary water source for irrigation.
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A shapefile of the extent of irrigated agricultural fields which includes an attribute table of the irrigated acreage for the period between January and December 2020 was compiled for Lake, Marion, and Orange Counties, Florida. Attributes for each polygon that represents a field include a general or specific crop type, irrigation system, and primary water source for irrigation.
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A table summarizing the inventoried acreage by crop type and irrigation system was compiled for Bay County, Florida. The irrigated acreage totals were derived from analyses of satellite and aerial imagery. Crop types and irrigation system types were verified during field trips that started in May 2021 and concluded in August 2021. In addition, the table provides acreage totals by crop type reported by the U.S. Department of Commerce for 1982, the U.S. Department of Agriculture from 1987 through 2017, and Florida Statewide Agricultural Irrigation Demand for 2018-19.
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A table summarizing the inventoried acreage by crop type and irrigation system was compiled for Lafayette County, Florida. The irrigated acreage totals were derived from analyses of satellite and aerial imagery. Crop types and irrigation system types were verified during field trips that started in January 2020 and concluded in December 2020. In addition, the table provides acreage totals by crop type reported by the U.S. Department of Commerce for 1982, the U.S. Department of Agriculture from 1987 through 2017, and Florida Statewide Agricultural Irrigation Demand for 2016-18.
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A table summarizing the inventoried acreage by crop type and irrigation system was compiled for Franklin County, Florida. The irrigated acreage totals were derived from analyses of satellite and aerial imagery. Crop types and irrigation system types were verified during field trips that started in May 2021 and concluded in August 2021. In addition, the table provides acreage totals by crop type reported by the U.S. Department of Commerce for 1982, the U.S. Department of Agriculture from 1987 through 2017, and Florida Statewide Agricultural Irrigation Demand for 2018-19.
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A table summarizing the inventoried acreage by crop type and irrigation system was compiled for Bradford County, Florida. The irrigated acreage totals were derived from analyses of satellite and aerial imagery. Crop types and irrigation system types were verified during field trips that started in January 2020 and concluded in December 2020. In addition, the table provides acreage totals by crop type reported by the U.S. Department of Commerce for 1982, the U.S. Department of Agriculture from 1987 through 2017, and Florida Statewide Agricultural Irrigation Demand for 2016-18.
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The GIS shapefile and summary tables provide irrigated agricultural land-use for Citrus, Hernando, Pasco, and Sumter Counties, Florida through a cooperative project between the U.S Geological Survey (USGS) and the Florida Department of Agriculture and Consumer Services (FDACS), Office of Agricultural Water Policy. Information provided in the shapefile includes the location of irrigated land field verified for 2019, crop type, irrigation system type, and primary water source used in Citrus, Hernando, Pasco, and Sumter Counties, Florida. A map image of the shapefile is provided in the attachment.
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A table summarizing the irrigated acreage by crop type and irrigation system was compiled for January to December 2019 for Pasco County, Florida. The irrigated acreage totals were derived from analyses of aerial imagery and data were field verified in 2019. In addition, the table provides acreage totals by crop type published by the U.S. Department of Commerce for 1982 and the U.S. Department of Agriculture for years between 1987 and 2017.
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This data set consists of a detailed digital map of the areal extent of fields and a summary of the irrigated acreage for the 2018 growing season developed for Manatee County, Florida. Selected attribute data that include crop type, irrigation system, and primary water source were collected for each irrigated field.
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Continuous water temperature data were collected at multiple sites along the Middle Fork and mainstem Willamette Rivers between Jasper and Newberg, Oregon, to support effectiveness monitoring for a large-scale channel and floodplain restoration program (Willamette Focused Investment Partnership, WFIP). Continuous water temperature loggers were deployed at a subset of WFIP restoration sites where river restoration activities were implemented to improve habitat conditions for native fish species. Data from water temperature monitoring will be used to evaluate the effectiveness of restoration activities at improving habitat conditions for Endangered Species Act (ESA)-listed salmonids and other native fish in the Willamette...
Trends are identified changes over time in the characteristics of groundwater and (or) surface water. The characteristics analyzed can include descriptions of both quantity and quality. The calculated trends are dependent upon the available data and the methods used to identify trends. (Updated 12/23/2015)


map background search result map search result map National Wetlands Inventory - Wetlands Red River Cultural Geographic Visualization GIS shapefile: Manatee County, Florida irrigated agricultural land-use for the 2018 growing season GIS shapefile and related summary data describing irrigated agricultural land-use in Citrus, Hernando, Pasco, and Sumter Counties, Florida for 2019 Reported and inventoried crop and irrigated acreage in Pasco County, Florida, 1982-2019 Groundwater-level altitude and groundwater-level change maps developed for the groundwater component of the upper Rio Grande Focus Area Study St. Louis River estuary (Minnesota-Wisconsin) EFDC hydrodynamic model for discharge and temperature simulations: 2016–17 Frequency domain electromagnetic induction (FDEM) data collected around mine-impacted streams near Silverton, Colorado in September 2019 Monthly Dynamic Surface Water Extent MODIS (DSWEmod) Images for the Conterminous United States – 2011 Monthly Dynamic Surface Water Extent MODIS (DSWEmod) Images for the Conterminous United States – 2012 GIS Shapefile of Irrigated Agricultural Acreage for Lake, Marion, and Orange Counties, Florida in 2020 GIS shapefile of Irrigated Agricultural Acreage within the Suwannee River Water Management District in 2020 Reported and inventoried crop and irrigated acreage in Bradford County, Florida, 1982-2020 Reported and inventoried crop and irrigated acreage in Lafayette County, Florida, 1982-2020 Ground penetrating radar (GPR) data collected in a mine-impacted wetland near Silverton, Colorado in September 2019 Region Layers for USGS South Carolina Bohman Method Hydrograph in StreamStats Reported and inventoried crop type and irrigated acreage in Bay County, Florida, 1982-2021 Reported and inventoried crop type and irrigated acreage in Franklin County, Florida, 1982-2021 Water temperature data to support effectiveness monitoring of channel and floodplain restoration projects along the Willamette River, Oregon: Minto-Brown Island Park 2020-2021 Water temperature data to support effectiveness monitoring of channel and floodplain restoration projects along the Willamette River, Oregon: Minto-Brown Island Park 2020-2021 Frequency domain electromagnetic induction (FDEM) data collected around mine-impacted streams near Silverton, Colorado in September 2019 Ground penetrating radar (GPR) data collected in a mine-impacted wetland near Silverton, Colorado in September 2019 St. Louis River estuary (Minnesota-Wisconsin) EFDC hydrodynamic model for discharge and temperature simulations: 2016–17 Reported and inventoried crop and irrigated acreage in Bradford County, Florida, 1982-2020 Reported and inventoried crop and irrigated acreage in Lafayette County, Florida, 1982-2020 Reported and inventoried crop and irrigated acreage in Pasco County, Florida, 1982-2019 GIS shapefile: Manatee County, Florida irrigated agricultural land-use for the 2018 growing season Reported and inventoried crop type and irrigated acreage in Franklin County, Florida, 1982-2021 Reported and inventoried crop type and irrigated acreage in Bay County, Florida, 1982-2021 GIS shapefile and related summary data describing irrigated agricultural land-use in Citrus, Hernando, Pasco, and Sumter Counties, Florida for 2019 GIS Shapefile of Irrigated Agricultural Acreage for Lake, Marion, and Orange Counties, Florida in 2020 GIS shapefile of Irrigated Agricultural Acreage within the Suwannee River Water Management District in 2020 Groundwater-level altitude and groundwater-level change maps developed for the groundwater component of the upper Rio Grande Focus Area Study Region Layers for USGS South Carolina Bohman Method Hydrograph in StreamStats Red River Cultural Geographic Visualization National Wetlands Inventory - Wetlands Monthly Dynamic Surface Water Extent MODIS (DSWEmod) Images for the Conterminous United States – 2011 Monthly Dynamic Surface Water Extent MODIS (DSWEmod) Images for the Conterminous United States – 2012