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Maine StreamStats Foundation Data Layers
The U.S. Geological Survey, in cooperation with Maine Department of Transportation, has compiled a series of GIS datasets to be implemented into the USGS StreamStats application for the State of Maine.These data were compiled from the high-resolution National Hydrography Dataset (NHD) and the Maine Lidar-Derived Watersheds (Sturtevant and Schoen, 2022). By using these datasets users will be able to delineate watersheds with the StreamStats application more accurately than previously possible. The datasets are provided in five separate child items.
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Elevation-Derived Hydrography in the Upper Shawsheen River Basin, Massachusetts
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The U.S. Geological Survey (USGS), in cooperation with the Air Force Civil Engineer Center (AFCEC), has compiled Geographic Information Systems (GIS) datasets. The spatial data layers provided in this data release are hydrography data derived from high-resolution lidar digital elevation models (DEM). They include a hydroline polyline shapefile used to hydro-enforce the high-resolution lidar DEM; a stream network centerline polyline shapefile derived from the hydro-enforcement that shows stream location; a sub-basin polygon shapefile derived from the hydro-enforcement representing watershed areas for all stream network centerline polylines; a flow direction raster, predicting the direction of flow based on direction of steepest drop; and a flow accumulation raster, predicting the number of upstream cells flowing into each one-meter cell. Field verification was conducted for locations where the high-resolution lidar digital elevation models were unclear on hydraulic connection. Photographs were captured to confirm the conveyance of flow. The datasets are provided in separate child items.
Streamgage Boundary Layers for Maine StreamStats
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This streamgage boundary layers dataset consists of 512 USGS streamgage point locations and polygons delineated to show their drainage areas. The drainage areas were delineated from the streamgage points functioning as pour points, in addition to the Flow Accumulation Raster for Maine StreamStats and Flow Direction Raster for Maine StreamStats in from this data release.
Lidar-Derived Hydrography in the Karner Brook Watershed, Massachusetts
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The U.S. Geological Survey (USGS), in cooperation with the Green Berkshires, Inc., has compiled Geographic Information Systems (GIS) datasets consisting of raster and vector data used to generate lidar-derived hydrography. The spatial data layers provided in this data release are hydrography data derived from high-resolution lidar digital elevation models (DEM). The vector data are in Esri shapefile format and include a Breach_Lines.shp file used to breach digital flow dams or obstructions in the DEM (connect erroneously disconnected flow) to aid flow direction processes and hydrologic conditioning; a Headwater_Seed_Points.shp file to guide stream network delineation; a Stream_Network_Karner_Brook_Watershed.shp file derived from the high-resolution lidar DEM that shows stream location; a Watershed_Boundary_Karner_Brook.shp file derived from the hydro-enforcement representing the greater Karner Brook watershed area; and a Potential_Wetlands.shp file derived from the DEM and used to help identify possible wetland locations in the Karner Brook watershed. The raster datasets are in GeoTIFF format and include the dem_clip_m_1.tif, digital elevation model clipped to the Karner Brook basin extent; an fdr_cf.tif, predicting the direction of flow based on the direction of the steepest drop in elevation; and an fac_cf.tif, predicting the number of upstream cells flowing into each one-meter cell.
Maine Lidar-Derived Watersheds
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Lidar Digital Elevation Models (DEMs) at 2-meter resolution have been used to derive watershed boundaries for the State of Maine. Geographic Information Systems (GIS) software was used to hydrologically enforce lidar DEMs and delineate watershed boundaries at pre-existing pour point locations (Price, 2016). The watershed boundaries are comparable in size to the 12-digit Hydrologic Unit catchments and have a 12-digit Hydrologic Unit Code (HUC12) identifier attribute field that has a one-to-one match with the national WBD dataset (https://www.usgs.gov/national-hydrography/watershed-boundary-dataset). This data release consists of a zip file containing an ESRI polygon shapefile (vector GIS dataset). This work was conducted in cooperation with Maine Department of Transportation and Maine Office of GIS. Curtis Price, 20160606, WBD HU12 Pour Points derived from NHDPlus: U.S. Geological Survey data release, https://www.sciencebase.gov/catalog/item/5762b664e4b07657d19a71ea
Elevation-Derived Hydrography Layers for the Upper Shawsheen River Basin, Massachusetts
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This dataset consists of the raster and vector data used to generate elevation-derived hydrography for the 12-digit Hydrologic Unit Code (HUC) 010700061301 area named the Upper Shawsheen River in Massachusetts. The data release contents are: fdr_010700061301.zip: Contains a GeoTIFF raster used to indicate the predicted direction of flow based on the direction of steepest drop. fac_010700061301.zip: Contains a GeoTIFF raster used to show the number of upstream cells flowing into each one-meter cell. Hydrolines_010700061301.zip: Contains data files for an ESRI polyline shapefile used to enforce drainage in lidar DEM data. Stream_Network_010700061301.zip: Contains data files for an ESRI polyline shapefile representing stream network centerlines derived from lidar DEM data." Sub_Basins_010700061301.zip: Contains data files for an ESRI polygon shapefile representing watershed areas for all stream network centerlines.
Lidar-derived Data Layers for South Carolina StreamStats, 2007-2013
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In cooperation with the South Carolina Department of Transportation, the U.S. Geological Survey developed a StreamStats web application (https://water.usgs.gov/osw/streamstats/) that provides analytical tools for water-resources planning and management (Ries and others, 2017). This data set presents the lidar-derived flow direction, flow accumulation, streamline, and hydro-enforced digital elevation model raster data used for analysis in StreamStats. Rasters are included for each of the following hydrologic unit codes (HUCs): 03040101, 03040102, 03040103, 03040104, 03040105, 03040201, 03040202, 03040203, 03040204, 03040205, 03040206, 03040207, 03040208, 03050101, 03050102, 03050103, 03050104, 03050105, 03050106, 03050107, 03050108, 03050109, 03050110, 03050111, 03050112, 03050201, 03050202, 03050203, 03050204, 03050205, 03050206, 03050207, 03050208, 03050209, 03050210, 03060101, 03060102, 03060103, 03060104, 03060105, 03060106, 03060107, 03060108, 03060109, and 03060110. The raster data is organized into four main zip folders, which are called “Flow_Accumulation_Grids,” “Flow_Direction_Grids,” Hydro_Enforced_DEM_Grids,” and “Streamline_Grids.” Reference: Ries, K.G., III, Newson J.K., Smith, M.J., Guthrie, J.D., Steeves, P.A., Haluska, T.L., Kolb, K.R., Thompson, R.F., Santoro, R.D., and Vraga, H.W., 2017, StreamStats, version 4: U.S. Geological Survey Fact Sheet 2017–3046, 4 p., https://doi.org/10.3133/fs20173046.
Basin Characteristic Flow-Conditioned Parameter Grids for Wyoming StreamStats
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This dataset was produced by the U.S. Geological Survey (USGS) in cooperation with the Wyoming Water Development Office for the purpose of calculating basin characteristics in preparation for the Wyoming StreamStats application. These datasets are raster representations of various environmental, geological, and land use attributes with the Wyoming StreamStats study area and will be served in the Wyoming StreamStats application to describe delineated watersheds. The StreamStats application provides access to spatial analytical tools that are useful for water-resources planning and management, and for engineering and design purposes. The map-based user interface can be used to delineate drainage areas, get basin characteristics and estimates of flow statistics. To aid in parameterization of mechanistic, statistical, and machine learning models of hydrologic systems in the Wyoming StreamStats study area, flow-conditioned parameter grids (FCPGs) have been generated describing upstream basin elevation, slope, level III and IV ecoregion codes, hydrologic regions, land cover classification, waterbodies, first of the month snow water equivalent (Jan-Jun), soil type, average soil permeability, evapotranspiration Spring and Summer, and modeled 30-year normal climatologies of average annual total precipitation, average monthly total precipitation, average annual daily mean temperature, and average monthly daily mean temperature values within the Wyoming StreamStats study area.
Geospatial datasets for watershed delineation used in the update of Hawaii StreamStats, 2022
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The U.S. Geological Survey (USGS), in cooperation with the State of Hawaii Department of Transportation, has compiled and processed a series of geospatial datasets for Hawaii to be implemented into the USGS StreamStats application (https://streamstats.usgs.gov/ss/). These geospatial datasets, along with basin characteristic datasets published as a separate USGS data release (https://doi.org/10.5066/P9TOQANM), are used to delineate watersheds and determine basin characteristics in StreamStats.
Basin Characteristics Rasters for Delaware StreamStats 2020
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This dataset was produced in by the Delaware Geological survey in cooperation with the US Geological Survey and Delaware Department of Transportation for the purpose of calculating stream gage basin characteristics in preparation for the Delaware 2020 StreamStats application. These datasets are raster representations of various environmental, geological, and land use attributes within the Delaware StreamStats 2020 study area, and will be served in the Delaware StreamStats 2020 application to describe delineated watersheds. The StreamStats application provides access to spatial analytical tools that are useful for water-resources planning and management, and for engineering and design purposes. The map-based user interface can be used to delineate drainage areas, get basin characteristics and estimates of flow statistics, and more.