Integration of remote sensing and geographical information system (GIS) for analysis of land cover changes and sensitives areas

Integrating remote sensing and Geographical Information System can successfully increase the performance and efficiency for studies on forestry, agriculture and town development management. In this study, the integration of the two disciplines was used to detect land cover area, type of land cover,...

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Main Author: Razak, Zakariya
Format: Thesis
Language:English
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Online Access:http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/636/1/GB400.42%20.R4%20R3%202001%20Abstract.pdf
http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/636/2/GB400.42%20.R4%20R3%202001.pdf
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spelling my-umt-ir.-6362016-03-10T07:50:31Z Integration of remote sensing and geographical information system (GIS) for analysis of land cover changes and sensitives areas Razak, Zakariya Integrating remote sensing and Geographical Information System can successfully increase the performance and efficiency for studies on forestry, agriculture and town development management. In this study, the integration of the two disciplines was used to detect land cover area, type of land cover, land cover changes and sensitive areas within the administrative boundary of Mukim Kuala Kuantan, Pahang. The study area covers approximately 78,368 hectares. For land cover determination, satellite image (Landsat TM) with band combination 4,5,3, captured on 27th June 1997 was analyzed and classified using 'Maximum Likelihood Classifier (MLC)' with overall accuracy of 87.4%. From the results, 16 classes of land cover were differentiated. There are zones of High Vegetation, High Development, Low Development and Shrub, Mangrove, Associate Mangrove, Cleared Area (for agriculture), Cleared Area (for development), Oil Palm (mature), Oil Palm (immature), Rubber (mature), Rubber (old), Grassland, Peat Swamp, Swamp, Water (with vegetation) and Water. Fakulti Sains dan Teknologi 2001-02 Thesis en http://hdl.handle.net/123456789/636 http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/636/1/GB400.42%20.R4%20R3%202001%20Abstract.pdf 1010543a3ba143bebfe457e25a7d8736 http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/636/2/GB400.42%20.R4%20R3%202001.pdf 7710b61bf46bb47055357f9439fa6e3b http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/636/3/license.txt 8a4605be74aa9ea9d79846c1fba20a33 http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/636/4/GB400.42%20.R4%20R3%202001%20Abstract.pdf.txt 9adce5f973bfede8ccae799162b38756 http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/636/5/GB400.42%20.R4%20R3%202001.pdf.txt 1d993ed869265a79f9452ce11168d71b GB 400.42 .R4 R3 2001 Razak Zakariya Integration of remote sensing and geographical information system (GIS) for analysis of land cover changes and sensitives areas Geography -- Malaysia Geography -- Study and teaching Geography -- Research
institution Universiti Malaysia Terengganu
collection UMT Repository System
language English
topic GB 400.42 .R4 R3 2001
Razak Zakariya
Integration of remote sensing and geographical information system (GIS) for analysis of land cover changes and sensitives areas
Geography -- Malaysia
Geography -- Study and teaching
Geography -- Research
spellingShingle GB 400.42 .R4 R3 2001
Razak Zakariya
Integration of remote sensing and geographical information system (GIS) for analysis of land cover changes and sensitives areas
Geography -- Malaysia
Geography -- Study and teaching
Geography -- Research
Razak, Zakariya
Integration of remote sensing and geographical information system (GIS) for analysis of land cover changes and sensitives areas
description Integrating remote sensing and Geographical Information System can successfully increase the performance and efficiency for studies on forestry, agriculture and town development management. In this study, the integration of the two disciplines was used to detect land cover area, type of land cover, land cover changes and sensitive areas within the administrative boundary of Mukim Kuala Kuantan, Pahang. The study area covers approximately 78,368 hectares. For land cover determination, satellite image (Landsat TM) with band combination 4,5,3, captured on 27th June 1997 was analyzed and classified using 'Maximum Likelihood Classifier (MLC)' with overall accuracy of 87.4%. From the results, 16 classes of land cover were differentiated. There are zones of High Vegetation, High Development, Low Development and Shrub, Mangrove, Associate Mangrove, Cleared Area (for agriculture), Cleared Area (for development), Oil Palm (mature), Oil Palm (immature), Rubber (mature), Rubber (old), Grassland, Peat Swamp, Swamp, Water (with vegetation) and Water.
format Thesis
author Razak, Zakariya
author_facet Razak, Zakariya
author_sort Razak, Zakariya
title Integration of remote sensing and geographical information system (GIS) for analysis of land cover changes and sensitives areas
title_short Integration of remote sensing and geographical information system (GIS) for analysis of land cover changes and sensitives areas
title_full Integration of remote sensing and geographical information system (GIS) for analysis of land cover changes and sensitives areas
title_fullStr Integration of remote sensing and geographical information system (GIS) for analysis of land cover changes and sensitives areas
title_full_unstemmed Integration of remote sensing and geographical information system (GIS) for analysis of land cover changes and sensitives areas
title_sort integration of remote sensing and geographical information system (gis) for analysis of land cover changes and sensitives areas
granting_institution Fakulti Sains dan Teknologi
url http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/636/1/GB400.42%20.R4%20R3%202001%20Abstract.pdf
http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/636/2/GB400.42%20.R4%20R3%202001.pdf
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