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Airborne MSS for land cover classification IIA basic methodology for land cover classification using airborne multispectral scanner (MSS) imagery is outlined. This includes waveband selection and radiometric calibration; correction for scan angle and atmosphere; training and classification and accuracy assessment. Refinements to this basic methodology include per-field sampling and the addition of low-pass filtering, image texture, prior probabilities and two dates of imagery. For a study area in upland England, eight land covers were classified with a mean accuracy of 52.6 percent using the basic methodology. This was increased to 79.0 percent by using a suitability refined methodology. Per-field sampling accounted for the largest proportion of this increase.
Document ID
19900056321
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Curran, Paul J.
(NASA Ames Research Center Moffett Field, CA; Swansea, University College, United Kingdom)
Pedley, Mike I.
(Sheffield, University United Kingdom)
Date Acquired
August 14, 2013
Publication Date
June 1, 1990
Publication Information
Publication: Geocarto International
Volume: 5
ISSN: 1010-6049
Subject Category
Aircraft Instrumentation
Accession Number
90A43376
Distribution Limits
Public
Copyright
Other

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