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An evaluation of automated classification techniques utilizing landsat data for soils mapping in the Grand Rapids area, Manitoba

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dc.contributor.author Fraser, Walter R. en_US
dc.date.accessioned 2009-12-01T20:18:20Z
dc.date.available 2009-12-01T20:18:20Z
dc.date.issued 1981 en_US
dc.identifier ocm72771569 en_US
dc.identifier.uri http://hdl.handle.net/1993/3466
dc.description.abstract The use of automated classification techniques utilizing LANDSAT data was evaluated for reconnaissance level soils mapping in the Boreal Forest Region near Grand Rapids, Manitoba. Supervised and unsupervised automated methods were employed rigourously to determine their potential with a single image LANDST data base. Both methods yielded similar results, as 8 to 10 soil mapping groups were successfully recognized. A tradeoff existed between the number of classes delineated and classification performance. Traditional methods resulted in the delineation of 57 map unit components. Automated methods provided several advantages, such as savings in expensive ground truth collection, uniformity of classification results, and ease of manipulation of the final map product. Automated methods of soil mapping in a Boreal Forest environment were dependent upon the indirest detection of soil conditions through vegetative cover. The poor coorelation between native vegetative cover, the major contributer to the spectral signature, and the underlying soil conditions was the main limitation in classification performance. Additonal limiting factors were the LANDSAT data base and the restriction of current automated classifiers to pixel-by-pixel analysis. Automated methods also do not provide map units comparable to those produced by conventional techniques. Several methods of enhancing the legibility of automated map products were suggested... en_US
dc.format.extent x, 153 leaves : en_US
dc.format.extent 47190753 bytes
dc.format.mimetype application/pdf
dc.language en en_US
dc.language.iso en_US
dc.rights The reproduction of this thesis has been made available by authority of the copyright owner solely for the purpose of private study and research, and may only be reproduced and copied as permitted by copyright laws or with express written authorization from the copyright owner. en_US
dc.title An evaluation of automated classification techniques utilizing landsat data for soils mapping in the Grand Rapids area, Manitoba en_US
dc.degree.discipline Soil Science en_US
dc.degree.level Master of Science (M.Sc.) en_US


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