Name: Study Area

Display Field: Shape_Leng

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. The study area dataset for the Lake Ontario Restoration Assessment (LORA) was created from the digital elevation model (DEM) dataset. The inland side of the study area was defined by taking the New York shoreline of Lake Ontario, including all land within 1 meter of elevation of the lake, and then including an additional 1 kilometer buffer. The lakeward side of the study area is a 2 kilometer buffer. 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 and Recreation Lands, Parameter 5: Impervious Surfaces, and Parameter 6: Land Use (represents developed areas without impervious surfaces but high societal value). The ancillary data include dikes, degree flowlines, study area and culverts. These data layers are put through an ecological model, which results in a composite restoration index of ranked restoration areas.

Copyright Text:

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Supported Query Formats: JSON, geoJSON, PBF

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YMin: 4778745.898300001
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Spatial Reference: 26918  (26918)

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Fields:

• FID ( type: esriFieldTypeOID, alias: FID )
• Shape ( type: esriFieldTypeGeometry, alias: Shape )
• Shape_Leng ( type: esriFieldTypeDouble, alias: Shape_Leng )
• Shape_Area ( type: esriFieldTypeDouble, alias: Shape_Area )

Supported Operations:   Query   Query Attachments   Query Analytic   Generate Renderer   Return Updates

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