Mapping and Quantification of Land Area and Cover Types with Landsat in Carey Island, Selangor, Malaysia

Information about current land cover type is essential at a certain level to ensure the optimum use of the land resources. Several approaches can be used to estimate land cover area, where remote sensing and Geographic Information System (GIS) is among the method. Therefore, this study was underta...

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Main Authors: Jusoff, Kamaruzaman, Ismail, Mohd Hasmadi
Format: Article
Language:English
English
Published: 2009
Online Access:http://psasir.upm.edu.my/id/eprint/7346/1/Mapping%20and%20Quantification%20of%20Land%20Area%20and%20Cover%20Types%20with%20Landsat%20in%20Carey%20Island.pdf
http://psasir.upm.edu.my/id/eprint/7346/
http://www.ccsenet.org/journal/index.php/mas/article/view/658
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Institution: Universiti Putra Malaysia
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spelling my.upm.eprints.73462015-10-09T07:07:43Z http://psasir.upm.edu.my/id/eprint/7346/ Mapping and Quantification of Land Area and Cover Types with Landsat in Carey Island, Selangor, Malaysia Jusoff, Kamaruzaman Ismail, Mohd Hasmadi Information about current land cover type is essential at a certain level to ensure the optimum use of the land resources. Several approaches can be used to estimate land cover area, where remote sensing and Geographic Information System (GIS) is among the method. Therefore, this study was undertaken to evaluate how reliable these technologies in preparing information about land cover in Carey Island, Selangor of Peninsular Malaysia. Erdas Imagine 9.1 was used in digital image processing. A primary data of Landsat TM, with spatial resolution of 30 m was acquired from scene 127/58 on July 2007. Area estimate was calculated using direct expansion method from samples proportion of each segments of land cover type (1 km by 1 km sample size). In this study, four classes of land cover type have been identified and the areas were oil palm, mangrove, water bodies and urban/bare land area. The area estimate for all classes are 11039.28 ha (oil palm), 5242.86 ha (mangrove), 4894.92 ha (water bodies), and 4751.96 ha (urban/bare land), respectively. The overall classification accuracy obtained for this study is 96%. The results showed that the use of direct expansion method for estimating land cover type area is practical to be used with remote sensing approaches. 2009 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/7346/1/Mapping%20and%20Quantification%20of%20Land%20Area%20and%20Cover%20Types%20with%20Landsat%20in%20Carey%20Island.pdf Jusoff, Kamaruzaman and Ismail, Mohd Hasmadi (2009) Mapping and Quantification of Land Area and Cover Types with Landsat in Carey Island, Selangor, Malaysia. Modern Applied Science, 3 (1). pp. 42-51. ISSN 1913-1844 http://www.ccsenet.org/journal/index.php/mas/article/view/658 English
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
English
description Information about current land cover type is essential at a certain level to ensure the optimum use of the land resources. Several approaches can be used to estimate land cover area, where remote sensing and Geographic Information System (GIS) is among the method. Therefore, this study was undertaken to evaluate how reliable these technologies in preparing information about land cover in Carey Island, Selangor of Peninsular Malaysia. Erdas Imagine 9.1 was used in digital image processing. A primary data of Landsat TM, with spatial resolution of 30 m was acquired from scene 127/58 on July 2007. Area estimate was calculated using direct expansion method from samples proportion of each segments of land cover type (1 km by 1 km sample size). In this study, four classes of land cover type have been identified and the areas were oil palm, mangrove, water bodies and urban/bare land area. The area estimate for all classes are 11039.28 ha (oil palm), 5242.86 ha (mangrove), 4894.92 ha (water bodies), and 4751.96 ha (urban/bare land), respectively. The overall classification accuracy obtained for this study is 96%. The results showed that the use of direct expansion method for estimating land cover type area is practical to be used with remote sensing approaches.
format Article
author Jusoff, Kamaruzaman
Ismail, Mohd Hasmadi
spellingShingle Jusoff, Kamaruzaman
Ismail, Mohd Hasmadi
Mapping and Quantification of Land Area and Cover Types with Landsat in Carey Island, Selangor, Malaysia
author_facet Jusoff, Kamaruzaman
Ismail, Mohd Hasmadi
author_sort Jusoff, Kamaruzaman
title Mapping and Quantification of Land Area and Cover Types with Landsat in Carey Island, Selangor, Malaysia
title_short Mapping and Quantification of Land Area and Cover Types with Landsat in Carey Island, Selangor, Malaysia
title_full Mapping and Quantification of Land Area and Cover Types with Landsat in Carey Island, Selangor, Malaysia
title_fullStr Mapping and Quantification of Land Area and Cover Types with Landsat in Carey Island, Selangor, Malaysia
title_full_unstemmed Mapping and Quantification of Land Area and Cover Types with Landsat in Carey Island, Selangor, Malaysia
title_sort mapping and quantification of land area and cover types with landsat in carey island, selangor, malaysia
publishDate 2009
url http://psasir.upm.edu.my/id/eprint/7346/1/Mapping%20and%20Quantification%20of%20Land%20Area%20and%20Cover%20Types%20with%20Landsat%20in%20Carey%20Island.pdf
http://psasir.upm.edu.my/id/eprint/7346/
http://www.ccsenet.org/journal/index.php/mas/article/view/658
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