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Lidar-derived Data Layers for South Carolina StreamStats, 2007-2013
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.
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Foundational Geospatial Layers for South Carolina StreamStats 2024
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In cooperation with the South Carolina Department of Transportation, the U.S. Geological Survey updated the foundational geospatial layers for the South Carolina StreamStats web application (https://water.usgs.gov/osw/streamstats/), which provides analytical tools useful for water-resources planning and management (Kolb and others, 2018). This dataset presents the digital elevation model, lidar-derived flow direction, flow accumulation, and percent basin slope raster data layers used for analysis in StreamStats. It also includes the streamline vector data used to hydro-enforce the raster data layers.
Gridded South Carolina StreamStats Runoff Curve Numbers by NLCD Landcover and SSURGO Soils Class (ver. 1.1, September 2025)
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This dataset was produced by the US Geological Survey as a supporting dataset to be used for the purpose of calculating stream gage basin characteristics in preparation for the South Carolina StreamStats application. This integer raster dataset represents runoff curve numbers for the combinations of hydrological soils groupings and land cover types within the South Carolina StreamStats study area. Soils data were from the USDA, NRCS SSURGO soils database and land cover data are USGS 2019 NLCD data. The dataset will be used in peak flow regression equations that are used to predict flow in South Carolina streams. 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 of StreamStats can be used to delineate drainage areas, get basin characteristics, estimates of flow statistics, and more. Inventory of data release: SC_RCN_LU_CO.tiff (1 .tif file): Cloud optimized GeoTIFF containing integer rasters that are runoff curve numbers for soils/land cover combinations
Data for the Evaluation of the U.S. Geological Survey Streamgage Network in South Carolina, 2017
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This dataset contains an inventory of South Carolina U.S. Geological Survey (USGS) streamgages evaluated in 2017 as part of gage network gap assessment. Both continuous record and crest stage gages are included in this dataset. The data are grouped into three categories: rural streamgages with equal to or greater than 10 years of peak-flow data, rural streamgages with less than 10 years of peak-flow data, and urban streamgages.
Maine StreamStats Foundation Data Layers
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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.
Local and Global Geodatabases Used in South Carolina StreamStats 2024
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In cooperation with the South Carolina Department of Transportation, the U.S. Geological Survey (USGS) updated the foundational geospatial layers for the South Carolina StreamStats web application (https://www.usgs.gov/streamstats), which provides analytical tools useful for water-resources planning and management (Kolb and others, 2018). This dataset comprises the 45 local geodatabases of the 8-digit Hydrologic Unit Code (HUC-8) watersheds in the South Carolina StreamStats (henceforth referred to as SC StreamStats) study area along with the global geodatabase that ties the local HUC-8s together. This dataset supersedes the previous SC StreamStats version 1 data published in Kolb and others (2018), reflecting updated lidar-derived elevation data for much of the state, along with new streamlines for Charleston and Georgetown counties.
Region Layers for USGS South Carolina Bohman Method Hydrograph in StreamStats
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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 will be used in the SC StreamStats application to generate hydrographs for estimated storm runoff simulations. The StreamStats application (https://streamstats.usgs.gov) 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 watershed areas, retrieve basin characteristics, estimates of flow statistics, and more.
Flow accumulation raster for Louisiana StreamStats
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The U.S. Geological Survey (USGS), in cooperation with the Louisiana Department of Transportation, prepared hydro-conditioned geographic information systems (GIS) layers for use in the Louisiana StreamStats application. These data were used within peak flow and low flow regression equations for Louisiana. This dataset consists of flow accumulation rasters for each 8-digit Hydrologic Unit Code (HUC) area in Louisiana, one of the layer types needed to delineate watersheds within the HUC-8 areas, merged into a single dataset. The 54 HUCs represented by this dataset are 03180004, 03180005, 08030100, 08040202, 08040205, 08040206, 08040207, 08040301, 08040302, 08040303, 08040304, 08040305, 08040306, 08050001, 08050002, 08050003, 08060100, 08070100, 08070201, 08070202, 08070203, 08070204, 08070205, 08070300, 08080101, 08080102, 08080103, 08080201, 08080202, 08080203, 08080204, 08080205, 08080206, 08090100, 08090201, 08090202, 08090203, 08090301, 08090302, 11140201, 11140202, 11140203, 11140204, 11140205, 11140206, 11140207, 11140208, 11140209, 11140304, 11140306, 12010002, 12010004, 12010005, and 12040201.
Elevation raster for Louisiana StreamStats
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The U.S. Geological Survey (USGS), in cooperation with the Louisiana Department of Transportation, prepared hydro-conditioned geographic information systems (GIS) layers for use in the Louisiana StreamStats application. These data were used within peak flow and low flow regression equations for Louisiana. This dataset consists of digital elevation model rasters for each 8-digit Hydrologic Unit Code (HUC) area in Louisiana, one of the layer types needed to delineate watersheds within the HUC-8 areas, merged into a single dataset. The 54 HUCs represented by this dataset are 03180004, 03180005, 08030100, 08040202, 08040205, 08040206, 08040207, 08040301, 08040302, 08040303, 08040304, 08040305, 08040306, 08050001, 08050002, 08050003, 08060100, 08070100, 08070201, 08070202, 08070203, 08070204, 08070205, 08070300, 08080101, 08080102, 08080103, 08080201, 08080202, 08080203, 08080204, 08080205, 08080206, 08090100, 08090201, 08090202, 08090203, 08090301, 08090302, 11140201, 11140202, 11140203, 11140204, 11140205, 11140206, 11140207, 11140208, 11140209, 11140304, 11140306, 12010002, 12010004, 12010005, and 12040201.
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.
Land Cover Basin Characteristics Rasters for South Carolina StreamStats 2021
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In cooperation with the South Carolina Department of Transportation, the U.S. Geological Survey calculated four land cover basin characteristics rasters as part of preparing the South Carolina StreamStats 2021 application. These datasets are raster representations of impervious surface, developed, forested, and storage land cover attributes within the South Carolina StreamStats 2021 study area, and will be served in the South Carolina StreamStats 2021 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 watershed areas, get basin characteristics and estimates of flow statistics, and more.
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