Documents and files

Annual Reports

Name	Date
Vegetation Class Names	NA

Reports

Name	Date
Development of a Vegetation Map for the Catskill Mountains, NY, Using Multi-temporal Landsat Imagery	NA

Publications

Name	Date
A Vegetation Map for the Catskill Park, NY, Derived from Multi-temporal Landsat Imagery and GIS Data Abstract - A map of the vegetation of the Catskill Park, NY, was created using multi-temporal Landsat Thematic Mapper TM data and ancillary spatial data to support ecological studies in Catskill watersheds. The map emphasizes forest types defined by dominant tree species and depicts 24 vegetation classes. Mapping included a series of supervised classifications in a decision tree framework that allowed forest types to be distinguished using spectral characteristics and other environmental relationships (e.g., landscape position, elevation). Traditional contingency table analysis (based on limited ground sampling) suggests overall map accuracy ranging from 28% to 90%, depending on the level of aggregation of the original 24 map classes. Fuzzy accuracy assessment based on the same ground data suggests a 71% level of acceptable classification. The map indicates that maple-dominated forests are predominant in the Catskill region, but that beech and birch-dominated forests become more important at higher elevations. Oak-dominated forests are very important along the eastern side of the Catskills, and conifer-dominated forests are largely restricted to mountaintops and stream bottoms.	NA

Name

Date

A Vegetation Map for the Catskill Park, NY, Derived from Multi-temporal Landsat Imagery and GIS Data
Abstract - A map of the vegetation of the Catskill Park, NY, was created using multi-temporal Landsat Thematic Mapper TM data and ancillary spatial data to support ecological studies in Catskill watersheds. The map emphasizes forest types defined by dominant tree species and depicts 24 vegetation classes. Mapping included a series of supervised classifications in a decision tree framework that allowed forest types to be distinguished using spectral characteristics and other environmental relationships (e.g., landscape position, elevation). Traditional contingency table analysis (based on limited ground sampling) suggests overall map accuracy ranging from 28% to 90%, depending on the level of aggregation of the original 24 map classes. Fuzzy accuracy assessment based on the same ground data suggests a 71% level of acceptable classification. The map indicates that maple-dominated forests are predominant in the Catskill region, but that beech and birch-dominated forests become more important at higher elevations. Oak-dominated forests are very important along the eastern side of the Catskills, and conifer-dominated forests are largely restricted to mountaintops and stream bottoms.

Images

Name	Date
Catskill Vegetation Map jpg Catskill Vegetation Map 11 Classes	2019
Catskill Vegetation Map png Catskill Vegetation Map 11 classes	2019

Related Information

Name	Date
Catskill Mountains Vegetation Metadata Metadata describing the methods and fields.	NA
How to use the vegetation mapping spatial data A text document that outlines how to use the vegetation mapping data.	NA
Information about the vegetation class data Text file	NA