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Landsat classification of Argentina summer cropsA Landsat MSS and TM classification approach based on three features derived from the greenness profile has proved very effective in separating and identifying corn, soybeans, and other ground cover classes in the U.S. The objective of this study is to investigate the separation of summer crops in Argentina, one of the most important commodity exporters, using the same greenness profile features that have proved effective in the U.S. Corn Belt. The area chosen for study is a more complex cropping practice area located in the north-west corner of Buenos Aires province in Pampa Humeda, where corn, soybean, sorghum, sunflower, and pastures are cultivated. It is shown that the profile features can provide very effective separation, except in the case of corn from sorghum. Separation between corn and soybeans was found to be greater than in the U.S. This study suggests that the automatic, unsupervised classification approach developed in the U.S., with relatively minor modification, can be used for summer crop area estimation in Argentina.
Document ID
19870044824
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Badhwar, G. D.
(NASA Johnson Space Center Houston, TX, United States)
Gargantini, C. E.
(NASA Lyndon B. Johnson Space Center Houston, TX, United States)
Redondo, F. V.
(Comision Nacional de Investigaciones Espaciales Centro de Sensores Remotes, Buenos Aires, Argentina)
Date Acquired
August 13, 2013
Publication Date
February 1, 1987
Publication Information
Publication: Remote Sensing of Environment
Volume: 21
ISSN: 0034-4257
Subject Category
Earth Resources And Remote Sensing
Accession Number
87A32098
Distribution Limits
Public
Copyright
Other

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