Big Ten Academic Alliance Geospatial Discovery Portal

Big Ten Academic Alliance Geoportal

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You searched for: Subject Inland Waters Remove constraint Subject: Inland Waters Collection Wisconsin Department of Natural Resources (DNR) Remove constraint Collection: Wisconsin Department of Natural Resources (DNR)
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1. Hydrography (1:24,000) Value Added, Wisconsin 2014

2014. Wisconsin Department of Natural Resources. The goal of this project is to attribute hydrography features within the state of Wisconsin. Some features in Wisconsin have watersheds that includ...

2. Hydrography (1:24,000), Wisconsin 2015

2015. Wisconsin Department of Natural Resources. Wisconsin Department of Natural Resources1;24,000 scale hydrography (statewide) consists of a series of features including: (1) Natural bounding li...

3. Impaired Waters (Line) Wisconsin, 2015

2015. Wisconsin Department of Natural Resources. This line data layer represents impaired (polluted) waters fore Wisconsin in 2015.

4. Impaired Waters (Polygon) Wisconsin, 2015

2015. Wisconsin Department of Natural Resources. This polygon data layer represents impaired (polluted) waters for Wisconsin in 2015.

5. Outstanding and Exceptional Resource Waters (Line) Wisconsin, 2014

2014. Wisconsin Department of Natural Resources. This line data layer represets outstanding and exceptional resource waters for Wisconsin in 2014.

6. Outstanding and Exceptional Resource Waters (Polygon) Wisconsin, 2014

2014. Wisconsin Department of Natural Resources. This polygon data layer represets outstanding and exceptional resource waters for Wisconsin in 2014.

7. Reed Canary Grass Dominated Wetlands Wisconsin, 2006

2008. Wisconsin Department of Natural Resources (WDNR). This Grid-format data set is a raster representation of the reed canary grass dominated wetlands of Wisconsin, derived from Landsat satellite image...

8. Watersheds, Wisconsin 2008

2008. Wisconsin Department of Natural Resources. This data set is a polygon shapefile representing watersheds as delineated by the Wisconsin DNR. The data are compiled from 1:24,000-scale topograp...