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Remote sensing in Iowa agricultureThe author has identified the following significant results. Photo-interpretive methods have been used for vegetation identification to include additive false color analysis using the I2S Miniadcol system. Enlarged black and white ERTS-1 imagery provides excellent synoptic coverage over large areas and this provides the vegetation type interpretor with a first tool. Analysis of field type using MSS bands individually gives the interpretor only shades of gray to base his decision. Combining the MSS bands and adding color through the I2S Miniadcol system provides the interpretor a greater degree of freedom in his decision making process. The information potentially available from ERTS-1 can be of great use in state planning and as an aid to the present crop survey programs.
Document ID
19730017595
Acquisition Source
Legacy CDMS
Document Type
Contractor Report (CR)
Authors
Mahlstede, J. P.
(Iowa State Univ. of Science and Technology Ames, IA, United States)
Carlson, R. E.
(Iowa State Univ. of Science and Technology Ames, IA, United States)
Date Acquired
September 2, 2013
Publication Date
May 4, 1973
Subject Category
Geophysics
Report/Patent Number
E73-10715
NASA-CR-133215
Report Number: E73-10715
Report Number: NASA-CR-133215
Accession Number
73N26322
Funding Number(s)
CONTRACT_GRANT: NAS5-21839
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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