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Semi-automatic crop inventory from sequential ERTS-1 imageryThe detection of a newly introduced crop into the Imperial (California) Valley by sequential ERTS-1 imagery is proving that individual crop types can be identified by remote sensing techniques. Initial results have provided an extremely useful product for water agencies. A system for the identification of field conditions enables the production of a statistical summary within two to three days of receipt of the ERTS-1 imagery. The summary indicates the total acreage of producing crops and irrigated planted crops currently demanding water and further indicates freshly plowed fields that will be demanding water in the near future. Relating the field conditions to the crop calendar of the region by means of computer techniques will provide specific crop identification for the 8000 plus fields.
Document ID
19730019478
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Johnson, C. W.
(California Univ. Riverside, CA, United States)
Coleman, V. B.
(California Univ. Riverside, CA, 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-A2
Accession Number
73N28210
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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