Forest cover change in Peninsular Malaysia using satellite remote sensing data

Forest balance the global ecosystem by maintaining sustainable interaction between living and non living things. Deforestation caused land to be fragile, and destroyed water catchment area. Soil will absorb large amount of water and eroded. The water that caught by the forest before flows unhindered...

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Main Author: Mohd. Najib, Nazarin Ezzaty
Format: Thesis
Language:English
Published: 2015
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Online Access:http://eprints.utm.my/id/eprint/53616/25/NazarinEzzatyMFGHT2015.pdf
http://eprints.utm.my/id/eprint/53616/
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spelling my.utm.536162020-07-22T04:03:18Z http://eprints.utm.my/id/eprint/53616/ Forest cover change in Peninsular Malaysia using satellite remote sensing data Mohd. Najib, Nazarin Ezzaty G70.39-70.6 Remote sensing Forest balance the global ecosystem by maintaining sustainable interaction between living and non living things. Deforestation caused land to be fragile, and destroyed water catchment area. Soil will absorb large amount of water and eroded. The water that caught by the forest before flows unhindered to the river with the soil and cause extreme flood. Thus forest change should be monitored to maintain sustainable ecosystem. Sustainable forest management should be done to maintain future forest resources . Forest replantation have been done by forestry department. However, it is not sufficient to balance the ecosystem. Malaysia forest loss has been increased and recorded high rate of deforestation. Thus, continuous forest monitoring should be done.Remote sensing technology with the multispectral image that has high spatial, temporal, and radiometric resolution, possible to monitor the forest cover change in short period of time. The aim of this study is to investigate the forest cover change in Malaysia between 1990 and 2010 using Landsat and ALOS Palsar satellite images. CLASlite software used Landsat data, while ALOS Palsar use threshold to classify forest. Besides, comparison of forest cover from Support Vector Machine and Maximum Likelihood Classifier is carried out. Then the result is validated with Forestry Department statistics. Comparison of total forest cover from CLASlite, ALOS Palsar, land use map and forestry statistics also was being made. The change of forest is detected by selecting Iskandar and Kuala Lumpur area .CLAlite also show the deforestation and disturbance area in Peninsular Malaysia. Results show that a forest loss value is high, compare to forest gain value. Iskandar have forest loss about 54 966 hectare and gain 21 411 hectare, while Kuala Lumpur loss about 2 521 hectare and gain 3 004 hectare of forest. The result of this study will be useful for Forestry Department to monitor the deforestation in Malaysia. 2015 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/53616/25/NazarinEzzatyMFGHT2015.pdf Mohd. Najib, Nazarin Ezzaty (2015) Forest cover change in Peninsular Malaysia using satellite remote sensing data. Masters thesis, Universiti Teknologi Malaysia, Faculty of Geoinformation and Real Estate. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:85512
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic G70.39-70.6 Remote sensing
spellingShingle G70.39-70.6 Remote sensing
Mohd. Najib, Nazarin Ezzaty
Forest cover change in Peninsular Malaysia using satellite remote sensing data
description Forest balance the global ecosystem by maintaining sustainable interaction between living and non living things. Deforestation caused land to be fragile, and destroyed water catchment area. Soil will absorb large amount of water and eroded. The water that caught by the forest before flows unhindered to the river with the soil and cause extreme flood. Thus forest change should be monitored to maintain sustainable ecosystem. Sustainable forest management should be done to maintain future forest resources . Forest replantation have been done by forestry department. However, it is not sufficient to balance the ecosystem. Malaysia forest loss has been increased and recorded high rate of deforestation. Thus, continuous forest monitoring should be done.Remote sensing technology with the multispectral image that has high spatial, temporal, and radiometric resolution, possible to monitor the forest cover change in short period of time. The aim of this study is to investigate the forest cover change in Malaysia between 1990 and 2010 using Landsat and ALOS Palsar satellite images. CLASlite software used Landsat data, while ALOS Palsar use threshold to classify forest. Besides, comparison of forest cover from Support Vector Machine and Maximum Likelihood Classifier is carried out. Then the result is validated with Forestry Department statistics. Comparison of total forest cover from CLASlite, ALOS Palsar, land use map and forestry statistics also was being made. The change of forest is detected by selecting Iskandar and Kuala Lumpur area .CLAlite also show the deforestation and disturbance area in Peninsular Malaysia. Results show that a forest loss value is high, compare to forest gain value. Iskandar have forest loss about 54 966 hectare and gain 21 411 hectare, while Kuala Lumpur loss about 2 521 hectare and gain 3 004 hectare of forest. The result of this study will be useful for Forestry Department to monitor the deforestation in Malaysia.
format Thesis
author Mohd. Najib, Nazarin Ezzaty
author_facet Mohd. Najib, Nazarin Ezzaty
author_sort Mohd. Najib, Nazarin Ezzaty
title Forest cover change in Peninsular Malaysia using satellite remote sensing data
title_short Forest cover change in Peninsular Malaysia using satellite remote sensing data
title_full Forest cover change in Peninsular Malaysia using satellite remote sensing data
title_fullStr Forest cover change in Peninsular Malaysia using satellite remote sensing data
title_full_unstemmed Forest cover change in Peninsular Malaysia using satellite remote sensing data
title_sort forest cover change in peninsular malaysia using satellite remote sensing data
publishDate 2015
url http://eprints.utm.my/id/eprint/53616/25/NazarinEzzatyMFGHT2015.pdf
http://eprints.utm.my/id/eprint/53616/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:85512
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score 13.159267