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Separability of soils in a tallgrass prairie using SPOT and DEM dataAn investigation is conducted which uses a canonical transformation technique to reduce the features from SPOT and DEM data and evaluates the statistical separability of several prairie soils from the canonically transformed variables. Both SPOT and DEM data was gathered for a tallgrass prairie near Manhattan, Kansas, and high resolution SPOT satellite images were integrated with DEM data. Two canonical variables derived from training samples were selected and it is suggested that canonically transformed data were superior to combined SPOT and DEM data. High resolution SPOT images and DEM data can be used to aid second-order soil surveys in grasslands.
Document ID
19910033965
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Su, Haiping
(Kansas State Univ. Manhattan, KS, United States)
Ransom, Michel D.
(Kansas State Univ. Manhattan, KS, United States)
Yang, Shie-Shien
(Kansas State University Manhattan, United States)
Kanemasu, Edward T.
(Georgia, University Griffin, United States)
Date Acquired
August 15, 2013
Publication Date
September 1, 1990
Publication Information
Publication: Remote Sensing of Environment
Volume: 33
ISSN: 0034-4257
Subject Category
Earth Resources And Remote Sensing
Accession Number
91A18588
Funding Number(s)
CONTRACT_GRANT: NAG5-389
Distribution Limits
Public
Copyright
Other

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