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Lidar-derived Data Layers for South Carolina StreamStats, 2007-2013

Dates

Publication Date

Citation

Kolb, K.R., Heal, E.N., and Clark, J.M., 2018, Lidar-derived Data Layers for South Carolina StreamStats, 2007-2013: U.S. Geological Survey data release, https://doi.org/10.5066/P9Q8RSF5.

Summary

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 useful 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, [...]

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Attached Files

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3.41 GB application/zip
Streamline_Grids.zip 69.92 MB application/zip
2.69 GB application/zip
Flow_Direction_Grids.zip 641.12 MB application/zip
Lidar_derived_Data_Layers_for_South_Carolina_StreamStats_2007_2013.xml
Original FGDC Metadata

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16.71 KB application/fgdc+xml

Purpose

These data were generated in support of the U.S. Geological Survey South Carolina StreamStats application (Feaster and others, 2018). This lidar-derived data set provides optimal elevation and streamline data for South Carolina, as well as increased accuracy for the delineation of watersheds (Feaster and others, 2018). Reference: ​Feaster, T.D., Clark, J.M., and Kolb, K.R., 2018, StreamStats for South Carolina—A multipurpose water-resources web application: U.S. Geological Survey Fact Sheet 2018–3070, 5 p., https://doi.org/10.3133/fs20183070.

Additional Information

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DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9Q8RSF5

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