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Connecting River Systems Restoration Assessment Composite Model
This dataset contains all the layers associated with U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative for the Connecting River Systems Restoration Assessment (CRSRA) which aims to identify and rank coastal areas with the greatest potential for wetland habitat restoration. Each layer has a unique contribution to the identification of restorable wetlands. The 7 parameters (Parameter 0: Mask, Parameter 1: Hydroperiod, Parameter 2: Wetland Soils, Parameter 3: Flowlines, Parameter 4: Conservation and Recreation Lands, Parameter 5: Impervious Surfaces, and Parameter 6: Land Use) and Index Composite directly correlate to areas that are recommended for restoration. The dikes, degree flowlines, culverts, study area and DEM datasets are supplemental layers that provide additional information around the priority rank values. All layers were produced in collaboration with the USGS Upper Midwest Water Science Center, USGS Great Lakes Science Center, and by the New College of Florida. For more information, see the full data release documentation and the GLCWRA webpage: https://glcwra.wim.usgs.gov/.
| Author(s) |
Anders L Hopkins,
Margaret E Jaenicke |
| Publication Date | 2024-06-13 |
| Beginning Date of Data | 2024 |
| Ending Date of Data | 2024 |
| Data Contact | |
| DOI | https://doi.org/10.5066/P9SD4LHS |
| Citation | Hopkins, A.L., Jaenicke, M.E., Bozimowski, A.A., Kowalski, K.P., and Sanocki, C.A., 2024, Connecting River Systems Restoration Assessment Composite Model: U.S. Geological Survey data release, https://doi.org/10.5066/P9SD4LHS. |
| Metadata Contact | |
| Metadata Date | 2024-06-13 |
| Related Publication | There was no related primary publication associated with this data release. |
| Citations of these data | Loading https://glcwra.wim.usgs.gov/ Loading https://glcwra.wim.usgs.gov/crsra/# |
| Access | public |
| License | http://www.usa.gov/publicdomain/label/1.0/ |
Harvest Date: 2026-04-24T13:11:32.902Z