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Linear mixing model applied to coarse spatial resolution data from multispectral satellite sensorsA linear mixing model was applied to coarse spatial resolution data from the NOAA Advanced Very High Resolution Radiometer. The reflective component of the 3.55-3.95 micron channel was used with the two reflective channels 0.58-0.68 micron and 0.725-1.1 micron to run a constrained least squares model to generate fraction images for an area in the west central region of Brazil. The fraction images were compared with an unsupervised classification derived from Landsat TM data acquired on the same day. The relationship between the fraction images and normalized difference vegetation index images show the potential of the unmixing techniques when using coarse spatial resolution data for global studies.
Document ID
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Holben, Brent N.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Shimabukuro, Yosio E.
(INPE Sao Jose dos Campos, Brazil)
Date Acquired
August 16, 2013
Publication Date
July 20, 1993
Publication Information
Publication: International Journal of Remote Sensing
Volume: 14
Issue: 11
ISSN: 0143-1161
Subject Category
Earth Resources And Remote Sensing
Accession Number
Distribution Limits

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