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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. These data include parameter inputs from external sources current to 2016. For...
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This dataset contains all the layers associated with U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative for the Saginaw Bay Restoration Assessment (SBRA) 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...
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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. These data include parameter inputs from external sources current to 2016. For...
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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. These data include parameter inputs from external sources current to 2016. For an updated data set, including parameter inputs up to 2023, please see: Jaenicke, M.E., Hopkins, A.L., Kowalski, K.P., Bozimowski, A.A., and Sanocki, C.A., 2024,...
Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Artificial Path, Canal / Ditch, FWHydrography, Great Lakes, Hydrography, All tags...
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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/.
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A shapefile representing greater sage-grouse (hereafter sage-grouse) space use and lek abundance in the Bi-State Distinct Population Segment (DPS) of California and Nevada. These data were derived by combining a kernel density estimation of sage-grouse lek abundance combined with another raster representing distance to lek. The 85 percent isopleth was then used to define "high space-use."
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The U.S. Geological Survey (USGS) created geospatial datasets of potential culvert locations along with flowlines connected to southwestern Lake Erie as part of the Western Lake Erie Restoration Assessment (WLERA). The Degree Flowlines and Culverts datasets represent the flowline network and culverts in the WLERA 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 Lake Erie. Low numbers represent fewer disconnections, such as...
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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. These data include parameter inputs from external sources current to 2016. For an updated data set, including parameter inputs up to 2023, please see: Hopkins, A.L., Jaenicke, M.E., Bozimowski, A.A., Kowalski, K.P., and Sanocki,...
Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Artificial Path, Canal / Ditch, Detroit River, FWHydrography, Great Lakes, All tags...
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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. These data include parameter inputs from external sources current to 2016. For an updated data set, including parameter inputs up to 2023, please see: Jaenicke, M.E., Hopkins, A.L., Kowalski, K.P., Bozimowski, A.A., and Sanocki, C.A., 2024, Saginaw...
Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Artificial Path, Canal / Ditch, FWHydrography, Great Lakes, Hydrography, All tags...
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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. These data include parameter inputs from external sources current to 2016. For...
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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...
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The US Geological Survey (USGS) created the Dikes dataset 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...
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This dataset represenst 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. 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 contiguous with each other were considered part of the same dike. Data underwent quality control (QC) procedures in which Subject Matter Experts and those familiar with the study area examined the data output, comparing the proposed dike locations to aerial imagery, flowline data, and...
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This dataset contains all the layers associated with U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative for the Western Lake Erie Restoration Assessment (WLERA) 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,...
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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...
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The U.S. Geological Survey (USGS) created geospatial datasets of potential culvert locations along with flowlines connected toLake Huron as part of the Saginaw Bay Restoration Assessment (SBRA). The Degree Flowlines and Culverts datasets represent the flowline network and culverts in the SBRA 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 Lake Huron. Low numbers represent fewer disconnections, such as culverts or road crossings,...


    map background search result map search result map Saginaw Bay Restoration Assessment Degree Flowlines (2016) Saginaw Bay Restoration Assessment Dikes (2016) Connecting River Systems Restoration Assessment Degree Flowlines (2016) Connecting River Systems Restoration Assessment Dikes (2016) Western Lake Erie Restoration Assessment Degree Flowlines (2016) Western Lake Erie Restoration Assessment Dikes (2016) Connecting River Systems Restoration Assessment, Composite Model Connecting River Systems Restoration Assessment: Degree Flowlines Connecting River Systems Restoration Assessment: Dikes Saginaw Bay Restoration Assessment, Composite Model Saginaw Bay Restoration Assessment: Degree Flowlines Saginaw Bay Restoration Assessment: Dikes Western Lake Erie Restoration Assessment: Composite Model Western Lake Erie Restoration Assessment: Degree Flowlines and Culverts Western Lake Erie Restoration Assessment: Dikes Greater Sage-Grouse High Abundance and Space-Use in the Bi-State Distinct Population Segment Connecting River Systems Restoration Assessment Dikes (2016) Connecting River Systems Restoration Assessment: Dikes Connecting River Systems Restoration Assessment Degree Flowlines (2016) Western Lake Erie Restoration Assessment Dikes (2016) Connecting River Systems Restoration Assessment, Composite Model Western Lake Erie Restoration Assessment Degree Flowlines (2016) Western Lake Erie Restoration Assessment: Composite Model Western Lake Erie Restoration Assessment: Degree Flowlines and Culverts Western Lake Erie Restoration Assessment: Dikes Saginaw Bay Restoration Assessment Dikes (2016) Saginaw Bay Restoration Assessment: Dikes Saginaw Bay Restoration Assessment: Degree Flowlines Saginaw Bay Restoration Assessment, Composite Model Greater Sage-Grouse High Abundance and Space-Use in the Bi-State Distinct Population Segment Connecting River Systems Restoration Assessment: Degree Flowlines Saginaw Bay Restoration Assessment Degree Flowlines (2016)