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The least-squares mixing models to generate fraction images derived from remote sensing multispectral dataConstrained-least-squares and weighted-least-squares mixing models for generating fraction images derived from remote sensing multispectral data are presented. An experiment considering three components within the pixels-eucalyptus, soil (understory), and shade-was performed. The generated fraction images for shade (shade image) derived from these two methods were compared by considering the performance and computer time. The derived shade images are related to the observed variation in forest structure, i.e., the fraction of inferred shade in the pixel is related to different eucalyptus ages.
Document ID
19910042263
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
External Source(s)
Authors
Shimabukuro, Yosio Edemir
(Instituto de Pesquisas Espaciais Sao Jose dos Campos, Brazil)
Smith, James A.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Date Acquired
August 14, 2013
Publication Date
January 1, 1991
Publication Information
Publication: IEEE Transactions on Geoscience and Remote Sensing
Volume: 29
ISSN: 0196-2892
Subject Category
Earth Resources And Remote Sensing
Accession Number
91A26886
Distribution Limits
Public
Copyright
Other

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