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Identification of corn fields using multidate radar dataAirborne C- and L-band radar data acquired over a test site in western kansas were analyzed to determine corn-field identification accuracies obtainable using single-channel, multichannel, and multidate radar data. An automated pattern-recognition procedure was used to classify 144 fields into three categories: corn, pasture land, and bare soil (including wheat stubble and fallow). Corn fields were identified with accuracies ranging from 85 percent for single channel, single-date data to 100 percent for single-channel, multidate data. The effects of radar parameters such as frequency, polarization, and look angle as well as the effects of soil moisture on the classification accuracy are also presented.
Document ID
19830056406
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Shanmugan, K. S.
(Kansas Univ. Lawrence, KS, United States)
Ulaby, F. T.
(Kansas Univ. Lawrence, KS, United States)
Narayanan, V.
(Kansas Univ. Lawrence, KS, United States)
Dobson, C.
(Kansas, University Lawrence, KS, United States)
Date Acquired
August 11, 2013
Publication Date
July 1, 1983
Publication Information
Publication: Remote Sensing of Environment
Volume: 13
ISSN: 0034-4257
Subject Category
Earth Resources And Remote Sensing
Accession Number
83A37624
Funding Number(s)
CONTRACT_GRANT: NAS9-15421
Distribution Limits
Public
Copyright
Other

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