Assessment of Forest Cover Changes Using Landsat TM for Langkawi Islands, Malaysia

One of the major environmental issues today is the rapid conversion of tropical forest to agriculture, pasture, human settlement, urban area, and many other land uses. Under these circumstances, the need for conservation and effective management of forest is imperative. One of the present technol...

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Main Author:	Mohd. Hassan, Haszuliana
Format:	Thesis
Language:	English English
Published:	1999
Subjects:	Forest mapping - Kedah - Langkawi
Online Access:	http://psasir.upm.edu.my/id/eprint/9988/1/FH_1999_12_A.pdf
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id	my-upm-ir.9988
record_format	uketd_dc
spelling	my-upm-ir.99882011-02-28T05:04:55Z Assessment of Forest Cover Changes Using Landsat TM for Langkawi Islands, Malaysia 1999 Mohd. Hassan, Haszuliana One of the major environmental issues today is the rapid conversion of tropical forest to agriculture, pasture, human settlement, urban area, and many other land uses. Under these circumstances, the need for conservation and effective management of forest is imperative. One of the present technologies being used in the monitoring of environment changes is remote sensing. This study was undertaken to verify the suitability and capability of LANDSAT TM in monitoring forest changes on langkawi Islands. Detection of forest cover change was performed using multi temporal LANDSAT data taken in 1992 and 1996, with the support of existing land use, topographic, and forest resource maps. The data were classified using maximum likelihood classifier (MLC) and overlay to generate forest change. Principal component analysis (PCA) was also used to detect changes where the multi temporal of six bands data were combined and treated as a single 12-dimensional data. A new set of images were obtained from a PCA color composites of PC2, PC3 and PC4 and were then classified using supervised classification to detect forest changes. It was found that MLC and PCA gave high overall accuracy of 90 per cent. However, MLC was found to be more accurate because of its better delineation along the forest cover changes in multi temporal data. The study quantified that the rate of deforestation of Langkawi Islands is about 235.18 halyr with a n accuracy of 93 percent. Factors causing forest cover changes include the expansion of tourism industry, encroachment of forest areas by local people and development of socio-economic activities such as residential areas, road network, quarries, jetties and agriculture. Forest mapping - Kedah - Langkawi 1999 Thesis http://psasir.upm.edu.my/id/eprint/9988/ http://psasir.upm.edu.my/id/eprint/9988/1/FH_1999_12_A.pdf application/pdf en public masters Universiti Putra Malaysia Forest mapping - Kedah - Langkawi Faculty of Forestry English
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English English
topic	Forest mapping - Kedah - Langkawi
spellingShingle	Forest mapping - Kedah - Langkawi Mohd. Hassan, Haszuliana Assessment of Forest Cover Changes Using Landsat TM for Langkawi Islands, Malaysia
description	One of the major environmental issues today is the rapid conversion of tropical forest to agriculture, pasture, human settlement, urban area, and many other land uses. Under these circumstances, the need for conservation and effective management of forest is imperative. One of the present technologies being used in the monitoring of environment changes is remote sensing. This study was undertaken to verify the suitability and capability of LANDSAT TM in monitoring forest changes on langkawi Islands. Detection of forest cover change was performed using multi temporal LANDSAT data taken in 1992 and 1996, with the support of existing land use, topographic, and forest resource maps. The data were classified using maximum likelihood classifier (MLC) and overlay to generate forest change. Principal component analysis (PCA) was also used to detect changes where the multi temporal of six bands data were combined and treated as a single 12-dimensional data. A new set of images were obtained from a PCA color composites of PC2, PC3 and PC4 and were then classified using supervised classification to detect forest changes. It was found that MLC and PCA gave high overall accuracy of 90 per cent. However, MLC was found to be more accurate because of its better delineation along the forest cover changes in multi temporal data. The study quantified that the rate of deforestation of Langkawi Islands is about 235.18 halyr with a n accuracy of 93 percent. Factors causing forest cover changes include the expansion of tourism industry, encroachment of forest areas by local people and development of socio-economic activities such as residential areas, road network, quarries, jetties and agriculture.
format	Thesis
qualification_level	Master's degree
author	Mohd. Hassan, Haszuliana
author_facet	Mohd. Hassan, Haszuliana
author_sort	Mohd. Hassan, Haszuliana
title	Assessment of Forest Cover Changes Using Landsat TM for Langkawi Islands, Malaysia
title_short	Assessment of Forest Cover Changes Using Landsat TM for Langkawi Islands, Malaysia
title_full	Assessment of Forest Cover Changes Using Landsat TM for Langkawi Islands, Malaysia
title_fullStr	Assessment of Forest Cover Changes Using Landsat TM for Langkawi Islands, Malaysia
title_full_unstemmed	Assessment of Forest Cover Changes Using Landsat TM for Langkawi Islands, Malaysia
title_sort	assessment of forest cover changes using landsat tm for langkawi islands, malaysia
granting_institution	Universiti Putra Malaysia
granting_department	Faculty of Forestry
publishDate	1999
url	http://psasir.upm.edu.my/id/eprint/9988/1/FH_1999_12_A.pdf
_version_	1747811039974522880

Assessment of Forest Cover Changes Using Landsat TM for Langkawi Islands, Malaysia

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