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Microwave and optical remote sensing of forest vegetationThe objectives and anticipated results of a study to define the strengths and limitations of microwave (SIR-B) and optical (thematic Mapper) data, singly and in combination, for the purpose of characterizing forest cover types and condition classes are described. Other specific objectives include: (1) the assessment of the effectiveness of a contextual classification algorithm (SECHO); (2) evaluation of the utility of different look angles of SAR data in determining differences in stand density of commercial forests; and (3) the determination of the effectiveness of the L-band HH polarized SIR-B data in differentiating forest-stand densities.
Document ID
19850008919
Document Type
Reprint (Version printed in journal)
Authors
Hoffer, R. M. (Purdue Univ. West Lafayette, IN, United States)
Bauer, M. E. (Purdue Univ. West Lafayette, IN, United States)
Biehl, L. L. (Purdue Univ. West Lafayette, IN, United States)
Mroczynski, R. P. (Purdue Univ. West Lafayette, IN, United States)
Date Acquired
August 12, 2013
Publication Date
July 1, 1984
Publication Information
Publication: JPL The SIR-B Sci. Invest. Plan
Subject Category
EARTH RESOURCES AND REMOTE SENSING
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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