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Identification of agricultural crops by computer processing of ERTS MSS dataQuantitative evaluation of computer-processed ERTS MSS data classifications has shown that major crop species (corn and soybeans) can be accurately identified. The classifications of satellite data over a 2000 square mile area not only covered more than 100 times the area previously covered using aircraft, but also yielded improved results through the use of temporal and spatial data in addition to the spectral information. Furthermore, training sets could be extended over far larger areas than was ever possible with aircraft scanner data. And, preliminary comparisons of acreage estimates from ERTS data and ground-based systems agreed well. The results demonstrate the potential utility of this technology for obtaining crop production information.
Document ID
19730019500
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Bauer, M. E.
(Purdue Univ. West Lafayette, IN, United States)
Cipra, J. E.
(Purdue Univ. West Lafayette, IN, United States)
Date Acquired
August 7, 2013
Publication Date
January 1, 1973
Publication Information
Publication: NASA. Goddard Space Flight Center Symp. on Significant Results obtained from the ERTS-1, Vol. 1, Sect. A and B
Subject Category
Geophysics
Report/Patent Number
PAPER-A25
Accession Number
73N28232
Funding Number(s)
CONTRACT_GRANT: NGL-15-005-112
CONTRACT_GRANT: NAS5-21773
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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