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Layer: LORA_Index_Composite.tif (ID: 13)

Name: LORA_Index_Composite.tif

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Type: Raster Layer

Geometry Type: null

Description: This dataset is the final result of the data model from the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative for the Lake Ontario Restoration Assessment (LORA). The GLCWRA initiative identifies 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 resulting in a composite index raster that can be used by ecological managers and planners to assist with the identification and selection of wetland restoration initiatives. 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.

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Supported Query Formats: JSON, geoJSON, PBF

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Supports Advanced Queries: false

Supports Statistics: false

Has Labels: false

Can Modify Layer: false

Can Scale Symbols: false

Use Standardized Queries: true

Supports Datum Transformation: true

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