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Remote sensing of foliar chemistryRemotely sensed data are being used to estimate foliar chemical content. This paper reviews how stepwise multiple regression and deconvolution have been used to extract chemical information from foliar spectra, and concludes that both methods are useful, but neither is ideal. It is recommended that the focus of research be modeling in the long term and experimentation in the short term. Long-term research should increase our understanding of the interaction between radiation and foliar chemistry so that the focus of research can move from leaf model to canopy model to field experiment. Short-term research should aim to design experiments in which remotely sensed data are used to generate unambiguous and accurate estimates of foliar chemical content.
Document ID
19900054401
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Curran, Paul J.
(Swansea, University College, United Kingdom)
Date Acquired
August 14, 2013
Publication Date
December 1, 1989
Publication Information
Publication: Remote Sensing of Environment
Volume: 30
ISSN: 0034-4257
Subject Category
Earth Resources And Remote Sensing
Accession Number
90A41456
Distribution Limits
Public
Copyright
Other

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