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Forest biomass, canopy structure, and species composition relationships with multipolarization L-band synthetic aperture radar dataThe effect of forest biomass, canopy structure, and species composition on L-band synthetic aperature radar data at 44 southern Mississippi bottomland hardwood and pine-hardwood forest sites was investigated. Cross-polarization mean digital values for pine forests were significantly correlated with green weight biomass and stand structure. Multiple linear regression with five forest structure variables provided a better integrated measure of canopy roughness and produced highly significant correlation coefficients for hardwood forests using HV/VV ratio only. Differences in biomass levels and canopy structure, including branching patterns and vertical canopy stratification, were important sources of volume scatter affecting multipolarization radar data. Standardized correction techniques and calibration of aircraft data, in addition to development of canopy models, are recommended for future investigations of forest biomass and structure using synthetic aperture radar.
Document ID
Document Type
Reprint (Version printed in journal)
Sader, Steven A.
(NASA National Space Technology Laboratories Bay Saint Louis, MS, United States)
Date Acquired
August 13, 2013
Publication Date
February 1, 1987
Publication Information
Publication: Photogrammetric Engineering and Remote Sensing
Volume: 53
ISSN: 0099-1112
Subject Category
Earth Resources And Remote Sensing
Accession Number
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