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Western Lake Erie Restoration Assessment Dikes 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. Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Great Lakes, LIDAR, Lake Erie, biogeography, coastal ecosystems, All tags... coastal processes, connectivity, decision support methods, digital elevation models, dikes, drainage, ecological processes, environmental assessment, estuarine ecosystems, estuarine processes, freshwater ecosystems, geodesign, geographic information systems, geography, geospatial analysis, geospatial datasets, habitats, hydrographic datasets, interagency programs, land use change, restoration, surface-water level, water resources, wetland ecosystems, wetland functions, Fewer tags Connecting River Systems Restoration Assessment Dikes 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. Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Detroit River, Great Lakes, LIDAR, Lake St. Clair, St. Clair River, All tags... biogeography, coastal ecosystems, coastal processes, connectivity, decision support methods, digital elevation models, dikes, drainage, ecological processes, environmental assessment, estuarine ecosystems, estuarine processes, freshwater ecosystems, geodesign, geographic information systems, geography, geospatial analysis, geospatial datasets, habitats, hydrographic datasets, interagency programs, land use change, restoration, surface-water level, water resources, wetland ecosystems, wetland functions, Fewer tags Saginaw Bay Restoration Assessment Dikes 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. Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Great Lakes, LIDAR, Saginaw Bay, biogeography, coastal ecosystems, All tags... coastal processes, connectivity, decision support methods, digital elevation models, dikes, drainage, ecological processes, environmental assessment, estuarine ecosystems, estuarine processes, freshwater ecosystems, geodesign, geographic information systems, geography, geospatial analysis, geospatial datasets, habitats, hydrographic datasets, interagency programs, land use change, restoration, surface-water level, water resources, wetland ecosystems, wetland functions, Fewer tags