Folders: ROOT > ScienceBase Catalog > Great Lakes Science Center (GLSC) > Great Lakes Science Center Published Data > Great Lakes Coastal Wetland Restoration Assessments > Connecting River Systems Restoration Assessment ( Show all descendants )
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ROOT _ScienceBase Catalog __Great Lakes Science Center (GLSC) ___Great Lakes Science Center Published Data ____Great Lakes Coastal Wetland Restoration Assessments _____Connecting River Systems Restoration Assessment Filters
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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...
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,
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/.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Ecology,
Great Lakes,
Holocene,
Lake Erie,
Lake Huron,
Well-established conservation planning principles and techniques framed by geodesign were used to assess the restorability of areas that historically supported coastal wetlands along the U.S. shore of the connecting rivers (Detroit River and St. Clair River). The resulting analysis supported planning efforts to identify, prioritize, and track wetland restoration opportunity and investment in the region. To accomplish this, publicly available data, criteria derived from the regional managers and local stakeholders, and geospatial analysis were used to form an ecological model for spatial prioritization. These data include parameter inputs from external sources current to 2016. For an updated data set, including...
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,
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...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Great Lakes,
Holocene,
Lake Erie,
Lake Huron,
Lake St. Clair,
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...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Great Lakes,
Holocene,
Lake Erie,
Lake Huron,
Lake St. Clair,
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