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The application of remote sensing technology to the solution of problems in the management of resources in IndianaThe author has identified the following significant results. Of the sampling techniques considered, a combination soil mapping and area sampling offered the most practical method for gathering soils data. Using the dot grid count, a relative percentage composition of soils can be calculated for each spectral class. From these percentages, a legend describing the dominant soils and inclusions can be developed. Interval drainage class seemed to be correlated with magnitude. For every parent material area, the more poorly drained soils had a lower magnitude of reflectance. Soil spectral classes seemed to be predominantly one internal drainage class.
Document ID
19790017281
Acquisition Source
Legacy CDMS
Document Type
Contractor Report (CR)
Authors
Weismiller, R. A.
(Purdue Univ. West Lafayette, IN, United States)
Mroczynski, R. P.
(Purdue Univ. West Lafayette, IN, United States)
Date Acquired
September 4, 2013
Publication Date
November 30, 1978
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
E79-10203
LARS-CR-042179
NASA-CR-158558
Report Number: E79-10203
Report Number: LARS-CR-042179
Report Number: NASA-CR-158558
Accession Number
79N25452
Funding Number(s)
CONTRACT_GRANT: NGL-15-005-186
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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