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The U.S. Geological Survey (USGS), in cooperation with the Natural Resources Department of the Bad River Band of the Lake Superior Chippewa Tribe, conducted a study of the extent of flooding near the community of Odanah, Wisconsin, caused by the July 11, 2016 storm event in northern Wisconsin and the Bad River Reservation. Immediately after the flooding, the USGS and the Bad River Natural Resources Department documented 108 high-water marks (HWM) in the Odanah area. The HWMs were used to create flood-inundation maps to support the response and recovery operations. Three sets of flood-inundation polygon boundaries, flood-inundation extents, flood depths, and high-water marks were compiled for the Bad River, Beartrap...
These data were used for the development and validation of the automated workflow for mechanistic segregation of geomorphic transport mechanisms presented in the manuscript "Geomorphic Process from Topographic Form: Automating the Interpretation of Repeat Survey Data in River Valleys." These data include (1) raster digital surface models from 2002, 2009, and 2013 of seven sites along the Colorado River in Grand Canyon and associated digital elevation models of difference (DoDs), (2) landscape information for each of the seven sites as vector polygons, including the site extent, area of bare sediment, flood inundation extent, and area of vegtation, (3) the locations of 113 field validation points used to assess the...
Types: Citation;
Tags: Area of vegtation,
Arizona,
Bare sediment,
Colorado River,
Digital elevation models of difference, All tags...
Field validation points,
Flood inundation extent,
Fuzzy inference system,
Geomorphic process,
Glen Canyon Dam,
Grand Canyon,
Marble Canyon,
Python script,
Raster digital surface models,
Repeat survey data,
Site extent,
Topographic form,
USGS Science Data Catalog (SDC),
Vector polygon data,
Workflow software, Fewer tags
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