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Use of remotely sensed data for assessing forest stand conditions in the Eastern United StatesTechniques for the detection, classification, and measurement of forest disturbances, using digital Landsat data for three study areas (Pennsynvania, North Carolina, and Maine) are reported. Results with respect to (1) the delineation and assessment of forest damage due to the use of two forest insect defoliators, and (2) qualitative assessment of the Multispectral Scanner (MSS) and the Thematic Mapper data for delineating forest stand characteristics are presented. Key results include a development of a statewide MSS digital data base and associated image-processing techniques for accurately delineating insect-damaged and healthy forest areas. For classification of broad land-cover classes which are spectrally homogeneous, the accuracy yielded by the use of either MSS data or TM Simulator data is similar. However, the TMS data provided 20 percent accuracy improvement over the MSS results when detailed (Level III) forest classes were mapped.
Document ID
19860038477
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Williams, D. L.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Nelson, R. F.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Date Acquired
August 12, 2013
Publication Date
January 1, 1986
Publication Information
Publication: IEEE Transactions on Geoscience and Remote Sensing
Volume: GE-24
ISSN: 0196-2892
Subject Category
Earth Resources And Remote Sensing
Accession Number
86A23215
Distribution Limits
Public
Copyright
Other

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