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Utilization of ERTS data to detect plant diseases and nutrient deficiencies, soil types and moisture levelsThe author has identified the following significant results. Findings demonstrate the feasibility of delineating major terrain features, land uses, and crop species through computerized analyses. Channel 6 appears to give the most information for making separations of this type. By enlarging satellite imagery and visually comparing this with high altitude aerial photographs, locating small terrain features and cropland areas on satellite imagery is greatly facilitated. Forest types are discernable on the 2402 imagery with a #25 filter: pine stands have dark tones, hardwood stands have light tones, and pine-hardwood have intermediate tones. No textural differences are evident on this type of imagery. However, on the 2424 imagery with #89B filter, textural differences are evident but tonal differences are absent. Areas of considerable texture are interpreted as stands of high volume while areas of suppressed texture are of low volume. The 2402 imagery with a #57 filter appears to have little information of importance in timber inventory.
Document ID
19730015672
Acquisition Source
Legacy CDMS
Document Type
Contractor Report (CR)
Authors
Parks, W. L.
(Tennessee Univ. Knoxville, TN, United States)
Sewell, J. I.
(Tennessee Univ. Knoxville, TN, United States)
Hilty, J. W.
(Tennessee Univ. Knoxville, TN, United States)
Rennie, J. C.
(Tennessee Univ. Knoxville, TN, United States)
Date Acquired
September 2, 2013
Publication Date
June 12, 1973
Subject Category
Geophysics
Report/Patent Number
E73-10640
PR-2
NASA-CR-132099
Report Number: E73-10640
Report Number: PR-2
Report Number: NASA-CR-132099
Accession Number
73N24399
Funding Number(s)
CONTRACT_GRANT: NAS5-21873
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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