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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Format: | Master Thesis |
Language: | English |
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1976
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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 |
_version_ |
1769004149876195328 |