Evaluation of remote sensing techniques for bio-physical land classification in the Churchill area, Manitoba

The use of LANDSAT satellite and airborne remote-sensing imagery are evaluated in a sub-arctic and northern boreal environment near Churchill, Manitoba. Accuracy and cost-effectiveness of a number of interpretation methods are compared; they include visual and automated (supervised and unsupervised)...

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Main Author: Thie, J.
Format: Master Thesis
Language:English
Published: 1976
Subjects:
Online Access:http://hdl.handle.net/1993/6342
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spelling ftunivmanitoba:oai:mspace.lib.umanitoba.ca:1993/6342 2023-06-18T03:39:23+02:00 Evaluation of remote sensing techniques for bio-physical land classification in the Churchill area, Manitoba Thie, J. 1976 viii, 89 leaves : application/pdf http://hdl.handle.net/1993/6342 eng eng ocm72806715 http://hdl.handle.net/1993/6342 open access master thesis 1976 ftunivmanitoba 2023-06-04T17:42:46Z The use of LANDSAT satellite and airborne remote-sensing imagery are evaluated in a sub-arctic and northern boreal environment near Churchill, Manitoba. Accuracy and cost-effectiveness of a number of interpretation methods are compared; they include visual and automated (supervised and unsupervised) techniques of LANDSAT data and air photo interpretation. Classification results of the different techniques are compared by using the overlay capabilities of the Canada Geographic Information Computer System. Conventional interpretation of aerial photographs enabled classification of about 50 different land types, and proved the best and most practical method for comprehensive bio-physical mapping. Satellite-based methods allowed the mapping of about 10 groups of land types, often, so broad that their practical value for resource management is limited. At present, visual satellite interpretations are more cost-effective than automated approaches for bio-physical mapping in this area. Master Thesis Arctic Churchill MSpace at the University of Manitoba Arctic Canada
institution Open Polar
collection MSpace at the University of Manitoba
op_collection_id ftunivmanitoba
language English
description The use of LANDSAT satellite and airborne remote-sensing imagery are evaluated in a sub-arctic and northern boreal environment near Churchill, Manitoba. Accuracy and cost-effectiveness of a number of interpretation methods are compared; they include visual and automated (supervised and unsupervised) techniques of LANDSAT data and air photo interpretation. Classification results of the different techniques are compared by using the overlay capabilities of the Canada Geographic Information Computer System. Conventional interpretation of aerial photographs enabled classification of about 50 different land types, and proved the best and most practical method for comprehensive bio-physical mapping. Satellite-based methods allowed the mapping of about 10 groups of land types, often, so broad that their practical value for resource management is limited. At present, visual satellite interpretations are more cost-effective than automated approaches for bio-physical mapping in this area.
format Master Thesis
author Thie, J.
spellingShingle Thie, J.
Evaluation of remote sensing techniques for bio-physical land classification in the Churchill area, Manitoba
author_facet Thie, J.
author_sort Thie, J.
title Evaluation of remote sensing techniques for bio-physical land classification in the Churchill area, Manitoba
title_short Evaluation of remote sensing techniques for bio-physical land classification in the Churchill area, Manitoba
title_full Evaluation of remote sensing techniques for bio-physical land classification in the Churchill area, Manitoba
title_fullStr Evaluation of remote sensing techniques for bio-physical land classification in the Churchill area, Manitoba
title_full_unstemmed Evaluation of remote sensing techniques for bio-physical land classification in the Churchill area, Manitoba
title_sort evaluation of remote sensing techniques for bio-physical land classification in the churchill area, manitoba
publishDate 1976
url http://hdl.handle.net/1993/6342
geographic Arctic
Canada
geographic_facet Arctic
Canada
genre Arctic
Churchill
genre_facet Arctic
Churchill
op_relation ocm72806715
http://hdl.handle.net/1993/6342
op_rights open access
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