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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
Online Access:http://psasir.upm.edu.my/id/eprint/9988/1/FH_1999_12_A.pdf
http://psasir.upm.edu.my/id/eprint/9988/
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spelling my.upm.eprints.99882011-02-28T05:04:55Z http://psasir.upm.edu.my/id/eprint/9988/ Assessment of Forest Cover Changes Using Landsat TM for Langkawi Islands, Malaysia 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. 1999 Thesis NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/9988/1/FH_1999_12_A.pdf Mohd. Hassan, Haszuliana (1999) Assessment of Forest Cover Changes Using Landsat TM for Langkawi Islands, Malaysia. Masters thesis, Universiti Putra Malaysia. 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 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
author Mohd. Hassan, Haszuliana
spellingShingle Mohd. Hassan, Haszuliana
Assessment of Forest Cover Changes Using Landsat TM for Langkawi Islands, Malaysia
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
publishDate 1999
url http://psasir.upm.edu.my/id/eprint/9988/1/FH_1999_12_A.pdf
http://psasir.upm.edu.my/id/eprint/9988/
_version_ 1643824495944794112
score 13.211869

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