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Estimating forest variables from fusion of SAR and TM data and analytical scattering and reflectance modelsA method for simultaneous integration of synthetic aperture radar (SAR) and optical remote sensing data in an estimation algorithm is presented which results in estimates of foliage mass over a larger range of values and more accurately than would be possible with either data type alone.
Document ID
20060042398
Acquisition Source
Jet Propulsion Laboratory
Document Type
Conference Paper
External Source(s)
Authors
Dungan, J.
Moghaddam, M.
Date Acquired
August 23, 2013
Publication Date
July 9, 2001
Subject Category
Earth Resources And Remote Sensing
Distribution Limits
Public
Copyright
Other
Keywords
fusion variable estimation forestry

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