Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Green Bay, U.S.: Degree Flowlines

This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. These data represent the flowline network in the Green Bay Restoration Assessment (GBRA). It is attributed with the number of disconnections (e.g., road crossings) between the reach and Lake Ontario. The more road crossings on a flowline the more disconnected that area is from the lake and the less suitable it will be for restoration. These data help identify the condition of hydrologic separation between potential restoration areas and Lake Ontario. Low numbers represent fewer disconnections, such as culverts, between the reach and the water body requiring no flow network modification...

Tags: Brown, Brown County, WI, Delta, Delta County, MI, Door, All tags... Door County, WI, Great Lakes, Green Bay, Hydrology, Kewaunee, Kewaunee County, WI, Lake Michigan, Manitowoc, Manitowoc County, WI, Marinette, Marinette County, WI, Menominee, Menominee County, MI, Michigan, Oconto, Oconto County, WI, Schoolcraft, Schoolcraft County, MI, USGS Science Data Catalog (SDC), Wisconsin, environment, hydrology, hydrology, inlandWaters, lake, lakeshore, natural resource management, remediation, resource management, river, river reaches, stream, water quality, wetland, wetland ecosystems, wetland restoration, Fewer tags

Green Bay Restoration Assessment

This dataset contains all the layers associated with U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative for the Green Bay Restoration Assessment (GBRA) 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,...

Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Upper Peninsula, U.S. (ver. 2.0, January 2024)

This dataset contains all the layers associated with U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative for the Upper Peninsula Restoration Assessment (UPRA) 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...

Categories: Data Release - Revised; Types: GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Chippewa, Great Lakes, Holocene, Lake Huron, Lake Michigan, All tags... Mackinac, Michigan, USGS Science Data Catalog (SDC), environment, geoscientificInformation, habitat suitability indices, hydrology, inlandWaters, lake, lakeshore, natural resource management, remediation, resource management, river, stream, water quality, wetland, wetland ecosystems, wetland functions, wetland restoration, Fewer tags

Lake Ontario Restoration Assessment

These datasets represent the wetland restoration composite index for the GLCWRA Lake Ontario Restoration Assessment study area. The Great Lakes Restoration Initiative (GLRI) is an over $4B U.S. congressional investment in the restoration of Great Lakes ecosystems. Restoration goals of the GLRI include the functional restoration of Great Lakes coastal wetlands (Great Lakes Restoration Initiative 2010; 2014). The data were collected in order to model, using a geodesign approach, the restorability of coastal wetlands and to help managers prioritize future restoration projects. The restorability model developed by New College and USGS uses a detailed terrain, historical lake levels, national soils, wetlands, land use,...

Saginaw Bay Restoration Assessment Composite Model (2016)

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 Saginaw Bay. 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 parameter inputs up to 2023, please see: Hopkins,...

Types: Citation; Tags: Great Lakes, LIDAR, Saginaw Bay, biogeography, coastal ecosystems, All tags... coastal processes, decision support methods, digital elevation models, 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, surface-water level, water resources, wetland ecosystems, wetland functions, Fewer tags

Western Lake Erie Restoration Assessment

WLERA (Western Lake Erie Restoration Assessment) is focused on Lake Erie from between the mouths of the Detroit River, MI and Black River, OH.

Saginaw Bay Restoration Assessment

SBRA (Saginaw Bay Restoration Assessment) extends along the shore of Lake Huron from the St. Clair River through Saginaw Bay.

Western Lake Erie Restoration Assessment Dikes (2016)

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: 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

Saginaw Bay 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 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...

Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Ecology, Great Lakes, Holocene, Lake Huron, Land Use Change, All tags... Michigan, Saginaw, USGS Science Data Catalog (SDC), environment, geoscientificInformation, hydrology, hydrology, inlandWaters, lake, lakeshore, natural resource management, remediation, resource management, river, stream, water quality, wetland, wetland ecosystems, wetland restoration, Fewer tags

Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Lake Ontario, U.S.: Degree Flowlines

This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. The degree flowlines dataset was created to indicate how many culverts each flowline passes through within the Lake Ontario Restoration Assessment (LORA) study area. The more road crossings on a flowline the more disconnected that area is from the lake and the less suitable it will be for restoration. The GLCWRA initiative identifies coastal wetland areas that have the greatest habitat restoration potential. The data model uses seven parameters to identify and rank wetland restoration areas, resulting in a composite index raster that can be used by ecological managers and planners to...

Tags: Great Lakes, Lake Ontario, New York, USGS Science Data Catalog (SDC), USGS-EMA-LOW-MR Coastal Wetlands, All tags... Water Quality, environment, hydrology, hydrology, inlandWaters, lake, lakeshore, natural resource management, remediation, resource management, river, river reaches, stream, water quality, wetland, wetland ecosystems, wetland restoration, Fewer tags

Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Lake Ontario, U.S.: Dikes

This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. This data represents the location of dikes within the Lake Ontario Restoration Assessment (LORA) study area. The GLCWRA initiative identifies coastal wetland areas that have the greatest habitat restoration potential. The data model uses seven parameters to identify and rank wetland restoration areas, resulting in a composite index raster that can be used by ecological managers and planners to assist with the selection of wetland restoration sites. The parameters are Parameter 0: Mask, Parameter 1: Hydroperiod, Parameter 2: Wetland Soils, Parameter 3: Flowlines, Parameter 4: Conservation...

Tags: Dike, Great Lakes, Lake Ontario, New York, USGS Science Data Catalog (SDC), All tags... Water Quality, environment, hydrology, hydrology, lake, lakeshore, natural resource management, remediation, resource management, river, river reaches, stream, water quality, water quality, wetland, wetland ecosystems, wetland restoration, Fewer tags

Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Upper Peninsula, U.S.: Degree Flowlines

This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. These data represent the flowline network in the Upper Peninsula Restoration Assessment (UPRA). It is attributed with the number of disconnections (e.g., road crossings) between the reach and Lake Ontario. The more road crossings on a flowline the more disconnected that area is from the lake and the less suitable it will be for restoration. These data help identify the condition of hydrologic separation between potential restoration areas and Lake Ontario. Low numbers represent fewer disconnections, such as culverts, between the reach and the water body requiring no flow network modification...

Types: GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Chippewa, Ecology, Great Lakes, Holocene, Hydrology, All tags... Lake Huron, Lake Michigan, Land Use Change, Mackinac, Michigan, USGS Science Data Catalog (SDC), Water Resources, environment, geoscientificInformation, habitat suitability indices, hydrology, inlandWaters, lake, lakeshore, natural resource management, remediation, resource management, river, stream, water quality, wetland, wetland ecosystems, wetland functions, wetland restoration, Fewer tags

Connecting River Systems Restoration Assessment Dikes (2016)

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, 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

Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Lake Ontario, U.S.

This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. The GLCWRA initiative uses principles of geodesign to identify coastal wetland areas that have the greatest potential for habitat restoration. The data model uses the following seven primary parameters to identify and rank wetland restoration areas. The parameters are: Parameter 0: Water Parameter 1: Hydroperiod Parameter 2: Wetland Soils Parameter 3: Flowlines Parameter 4: Conservation and Recreation Lands Parameter 5: Impervious Surfaces Parameter 6: Land Use (represents developed areas without impervious surfaces but high societal value) The ancillary data include dikes, degree...

Tags: Great Lakes, Lake Ontario, New York, USGS Science Data Catalog (SDC), USGS-EMA-LOW-MR Coastal Wetlands, All tags... Water Resources, hydrology, hydrology, lake, lakeshore, natural resource management, remediation, resource management, river, stream, water quality, water quality, wetland, wetland ecosystems, wetland restoration, Fewer tags

Upper Peninsula Restoration Assessment

This dataset contains all the layers associated with U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative for the Upper Peninsula Restoration Assessment (UPRA) 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...

Connecting River Systems Restoration Assessment Dikes

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, All tags... Lake St. Clair, Land Use Change, St. Clair, St. Clair-Detroit, USGS Science Data Catalog (SDC), environment, geoscientificInformation, hydrology, inlandWaters, lake, lakeshore, natural resource management, remediation, resource management, river, stream, water quality, wetland, wetland ecosystems, wetland restoration, Fewer tags

Western Lake Erie Restoration Assessment Degree Flowlines (2016)

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... LIDAR, Lake / Pond, Lake Erie, Reach Code, Reservoir, Spring / Seep, Stream / River, Swamp / Marsh, 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

Connecting River Systems Restoration Assessment Composite Model (2016)

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...

Types: Citation; Tags: Detroit River, Great Lakes, LIDAR, Lake St. Clair, St. Clair River, All tags... biogeography, coastal ecosystems, coastal processes, decision support methods, digital elevation models, 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, surface-water level, water resources, wetland ecosystems, wetland functions, Fewer tags

Connecting River Systems Restoration Assessment Degree Flowlines (2016)

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... Hydrography, LIDAR, Lake / Pond, Lake St. Clair, Reach Code, Reservoir, Spring / Seep, St. Clair River, Stream / River, Swamp / Marsh, 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

Western Lake Erie Restoration Assessment Degree Flowlines

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...

Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Ecology, Great Lakes, Holocene, Lake Erie, Land Use Change, All tags... Michigan, Ohio, USGS Science Data Catalog (SDC), Western Lake Erie, environment, geoscientificInformation, hydrology, hydrology, inlandWaters, lake, lakeshore, natural resource management, remediation, resource management, river, stream, water quality, wetland, wetland ecosystems, wetland restoration, Fewer tags