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Crop Characteristics Research: Growth and Reflectance AnalysisMuch of the early research in remote sensing follows along developing spectral signatures of cover types. It was found, however, that a signature from an unknown cover class could not always be matched to a catalog value of known cover class. This approach was abandoned and supervised classification schemes followed. These were not efficient and required extensive training. It was obvious that data acquired at a single time could not separate cover types. A large portion of the proposed research has concentrated on modeling the temporal behavior of agricultural crops and on removing the need for any training data in remote sensing surveys; the key to which is the solution of the so-called 'signature extension' problem. A clear need to develop spectral estimaters of crop ontogenic stages and yield has existed even though various correlations have been developed. Considerable effort in developing techniques to estimate these variables was devoted to this work. The need to accurately evaluate existing canopy reflectance model(s), improve these models, use them to understand the crop signatures, and estimate leaf area index was the third objective of the proposed work. A synopsis of this research effort is discussed.
Document ID
19860004331
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Badhwar, G. D. (NASA Lyndon B. Johnson Space Center Houston, TX, United States)
Date Acquired
August 12, 2013
Publication Date
September 1, 1985
Publication Information
Publication: NASA. Goddard Space Flight Center Fundamental Remote Sensing Sci. Res. Program
Subject Category
Earth Resources And Remote Sensing
Accession Number
86N13800
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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IDRelationTitle19860004325Collected WorksFundamental remote sensing science research program: The Scene Radiation and Atmospheric Effects Characterization Project
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