This represents the flowline network in Connecting River Systems Restoration Assessment (CRSRA). It is attributed with the number of disconnections between the reach and the connecting river system. These data will help identify the condition of hydrologic separation between potential restoration areas and the connecting river system. Low numbers represent fewer disconnections such as culverts between the reach and the rivers requiring no flow network modification to restore the area.

This dataset is the output of a python script/ArcGIS model that identifes dikes as having a difference in elevation above a certain threshold. If the elevation difference was below a certain threshold the area was not considered a dike; however, if the difference in elevation between two points was significantly high then the area was marked as a dike. Areas continuous with eachother were considered part of the same dike. Post processing occured. Users examined the data output, comparing the proposed dike locations to aerial imagery, flowline data, and the DEM. Dikes that appeared to be false positives were deleted from the data set.

This dataset represents the location of dikes within the Connecting River Systems Restoration Assessment (CRSRA) study area. For more information, see the full data release documentation and the GLCWRA webpage: https://glcwra.wim.usgs.gov/.

This dataset represents the location of dikes within the Connecting River Systems Restoration Assessment (CRSRA) study area. For more information, see the full data release documentation and the GLCWRA webpage: https://glcwra.wim.usgs.gov/.

This represents the flowline network in Western Lale Erie Restoration Assessment (WLERA). It is attributed with the number of disconnections between the reach and the connecting river system. These data will help identify the condition of hydrologic separation between potential restoration areas and the connecting river system. Low numbers represent fewer disconnections such as culverts between the reach and the rivers requiring no flow network modification to restore the area.

This represents the flowline network in Sagina Bay Restoration Assessment (SBRA). It is attributed with the number of disconnections between the reach and the connecting river system. These data will help identify the condition of hydrologic separation between potential restoration areas and the connecting river system. Low numbers represent fewer disconnections such as culverts between the reach and the rivers requiring no flow network modification to restore the area.

The U.S. Geological Survey (USGS) created the Degree Flowlines and Culverts geospatial datasets representing potential culvert locations along with flowlines within the Connecting River Systems Restoration Assessment (CRSRA) study area. Both datasets will be served in the Great Lakes Wetlands Restoration Area mapping application [https://glcwra.wim.usgs.gov/]. The map-based user interface can be used by stakeholders to find potential areas for successful wetlands restoration. Each flowline was assigned a connectivity score describing its level of connectedness to the lake outlet. Low numbers represent fewer disconnections, such as culverts or road crossings, between the reach and the water body requiring no flow network modification to restore the area. For more information, see the full data release documentation and the GLCWRA webpage: https://glcwra.wim.usgs.gov/.

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/.

The US Geological Survey (USGS) created the Dikes dataset (version 2.0) as ancillary layer in the Western Lake Erie Restoration Assessment (WLERA) which covers the southwestern shore of Lake Erie. WLERA is a part of the USGS's Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative where coastal areas around the Great Lakes are identified and ranked for potential wetland restoration. The dikes dataset was created to identify human made and naturally occurring dikes or berms which have the potential to block the flow of water between Lake Erie and wetland habits. These potential dikes were outlined by selecting all the areas within the WLERA study area with a slope greater than 12 degrees (derived from the DEM created for WLERA). For more information, see the full data release documentation and the GLCWRA webpage: https://glcwra.wim.usgs.gov/.

This dataset represents the location of dikes within the Saginaw Bay Restoration Assessment (SBRA) study area. An ArcGIS model identified dikes as having a difference in elevation and slope above a certain threshold. See the full data release documentation and the GLCWRA webpage: https://glcwra.wim.usgs.gov/ for further information.