Geospatial Data for a Flood-Inundation Mapping Study of the Wabash River at Lafayette, Indiana
Dates
Publication Date
2018-05-03
Start Date
2007
End Date
2018
Citation
Kim, M.H., 2018, Geospatial Data and Surface-Water Model Archive for a Flood-Inundation Mapping Study of the Wabash River at Lafayette, Indiana: U.S. Geological Survey data release, https://doi.org/10.5066/F7PC31BN.
Summary
The development and the generation of the dataset that is published through this data release, is based on the results and findings of the report mentioned here: Kim, M.H., 2018, Flood-inundation maps for the Wabash River at Lafayette, Indiana: U.S. Geological Survey Scientific Investigations Report 2018–5017, 10 p., https://doi.org/10.3133/sir20185017. The geospatial dataset contains final versions of the raster and vector geospatial data and its related metadata that are discussed in the report.
Summary
The development and the generation of the dataset that is published through this data release, is based on the results and findings of the report mentioned here: Kim, M.H., 2018, Flood-inundation maps for the Wabash River at Lafayette, Indiana: U.S. Geological Survey Scientific Investigations Report 2018–5017, 10 p., https://doi.org/10.3133/sir20185017. The geospatial dataset contains final versions of the raster and vector geospatial data and its related metadata that are discussed in the report.
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data_release_lafayetteIN_geospatial_data.xml Original FGDC Metadata
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Geospatial_dataset.zip
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Related External Resources
Type: Related Primary Publication
Kim, M.H., 2018, Flood-inundation maps for the Wabash River at Lafayette, Indiana: U.S. Geological Survey Scientific Investigations Report 2018–5017, 10 p., https://doi.org/10.3133/sir20185017.
These datasets were created to support the development and generation of flood-inundation maps for a reach of the Wabash River at Lafayette, Indiana; methods and findings are discussed in this report here: Kim, M.H., 2018, Flood-inundation maps for the Wabash River at Lafayette, Indiana: U.S. Geological Survey Scientific Investigations Report 2018–5017, 10 p., https://doi.org/10.3133/sir20185017.