Geographer, WIM Senior Developer
Email:
ahopkins@usgs.gov
Office Phone:
763-272-8679
Location
1992 Folwell Ave
St. Paul
, MN
55108
US
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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
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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 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
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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...
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
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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
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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
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