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CUGIR dataset information

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Hudson River Valley Gap Analysis 30m Land Cover
MapsheetHudson River estuary - adjacent counties
ProviderHudson River Estuary Program
FormatESRI Grid .adf
Download HREPhrvlc30m.hrec.gru.07896.zip | Add to basket
Coordinate System Universal Transverse Mercator | meters | Zone 18
DatumNorth American Datum of 1983
Publication date 2005
Date added or updated November 29, 2007
DescriptionAbstract
This land cover data of the Hudson River Valley (New York) has a 30m pixel resolution, and was derived from Landsat-5 satellite imagery from 1992 and 1993.
Purpose
The Hudson River Valley GAP Analysis Project (HRV-GAP) uses the New York State GAP Analysis Project (NY-GAP) database to perform analyses and answer research questions directly related to the Hudson River Valley (HRV).
Supplemental Information
The 30 meter minimum mapping unit (mmu) land cover map for the HRV consists of 38 land cover types. The classification scheme is consistent with a modified NVCS hierarchy (Grossman et al. 1998) and can be cross-referenced with Reschke (1990) community types. It was developed for the New York State and the Hudson River Valley Gap Analysis Projects (NY-GAP, HRV-GAP). The classification scheme is based on land cover types that include alliance and super-alliance level classifications of vegetated communities, as well as more generalized classes for water, built environments, and spectral obstructions. Alliances are a physiognomically distinct group of plant associations that share dominant species. However, due to the nature of spectral data, some alliances were combined or modified to form super-alliances. As used in NY-GAP, a super-alliance is a combination of alliances with dominant species that either belong to the same genus or occur under similar environmental conditions. *** Expert opinion from the New York Natural Heritage Program staff, literature reviews, and field surveys were used to enhance and adapt the NY-GAP classification scheme for use in the HRV. Alliances and super-alliances were added or subtracted based on presence or absence in the HRV, spectral distinguishability, and importance to natural resource managers.
Topicsenvironment, planning
File size10632 kilobytes
Use constraintsnone
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