Layer: Tidal Marsh Vegetation Classification (ID: 91)

Sub Layers:

Name: Tidal Marsh Vegetation Classification

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Type: Group Layer

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Description: This data product was developed in collaboration with the U.S. Environmental Protection Agency, Region 1 (EPA R1). As part of an 18-month project, EPA R1 convened multiple meetings of an expert work group to both update regional (ME to NY) coastal vegetation datasets on the Northeast Ocean Data Portal (eelgrass meadows and tidal marsh) and to determine appropriate methods for mapping blue carbon stocks in these habitats. <br/><br/> The EPA R1 work group sought tidal marsh data that were mapped consistently across the region of interest (ME to NY). The work group decided to use multiple datasets to address the needs of this effort. A dataset developed by the <a href="https://www.tidalmarshbirds.org" target="_blank">Saltmarsh Habitat and Avian Research Program (SHARP)</a>, contains a regional classification produced using a combination of Digital Elevation Model and National Agriculture Imagery Program (NAIP) multispectral imagery, and provides a contiguous classification of tidal marsh cover types from coastal Maine to Virginia. However, these data had gaps in the region of interest around New Bedford Harbor, MA, due to lack of available or interpretable NAIP imagery in that area. To fill this gap, the work group recommended extracting marsh habitat information from the <a href="https://www.sciencebase.gov/catalog/item/60f992fcd34e3ccd82fe3fbf" target="_blank">Conceptual Marsh Units of Massachusetts salt marshes</a> dataset from USGS (“CMUs”). Massachusetts CMUs are polygons created from the 2005 Massachusetts salt marsh dataset that were delineated to smaller, conceptual marsh units by the geoprocessing of surface elevation data. Each layer associated with these datasets are maintained separately in the Portal but visualized together. The data user is encouraged to refer to the metadata of this composite and of each individual source layer carefully, as the methods to produce vegetation classes, feature geometry, attribute details, and timeliness are not necessarily consistent among datasets.

Definition Expression: N/A

Copyright Text: U.S. Environmental Protection Agency, Region 1, Saltmarsh Habitat and Avian Research Program (SHARP), USGS

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