Monitoring deforestation in Sarawak, Malaysia using multitemporal Landsat data

Deforestation is the most important problem facing tropical countries. This paper discusses the use of medium resolution Landsat data for monitoring deforestation in Sarawak, the largest state of Malaysia. Missing line correction and filtering of the SLC-OFF Landsat data was necessary prior to super...

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Main Authors: Satoshi Tsuyuki, Goh, Mea How, Stephen Teo, Kamlisa Uni Kamlun, M Phua
Format: Article
Language:English
English
Published: Institute of Forest Science, Kangwon National University 2011
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Online Access:https://eprints.ums.edu.my/id/eprint/34033/1/Monitoring%20deforestation%20in%20Sarawak%2C%20Malaysia%20using%20multitemporal%20Landsat%20data.pdf
https://eprints.ums.edu.my/id/eprint/34033/2/Monitoring%20deforestation%20in%20Sarawak%2C%20Malaysia%20using%20multitemporal%20Landsat%20data1.pdf
https://eprints.ums.edu.my/id/eprint/34033/
https://www.apn-gcr.org/publication/monitoring-deforestation-in-sarawak-malaysia-using-multitemporal-landsat-data/
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Institution: Universiti Malaysia Sabah
Language: English
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spelling my.ums.eprints.340332022-08-29T03:17:19Z https://eprints.ums.edu.my/id/eprint/34033/ Monitoring deforestation in Sarawak, Malaysia using multitemporal Landsat data Satoshi Tsuyuki Goh, Mea How Stephen Teo Kamlisa Uni Kamlun M Phua QH1-(199.5) General Including nature conservation, geographical distribution Deforestation is the most important problem facing tropical countries. This paper discusses the use of medium resolution Landsat data for monitoring deforestation in Sarawak, the largest state of Malaysia. Missing line correction and filtering of the SLC-OFF Landsat data was necessary prior to supervised classification. The overall accuracies of the classifications of 1990 and 2009 exceeded 80%. Of the total loss of 1.2 million ha of forests in the past two decades, more than 90% was peat swamp forests and intact forest. The overall deforestation rate of Sarawak was 0.64%. Deforestation at coastal divisions (eg Mukah) was due to forest to oil palm conversion in recent years. In inland divisions (eg Kapit), intact and secondary forests decreased due to logging followed by clearing for oil palm plantation. Institute of Forest Science, Kangwon National University 2011 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/34033/1/Monitoring%20deforestation%20in%20Sarawak%2C%20Malaysia%20using%20multitemporal%20Landsat%20data.pdf text en https://eprints.ums.edu.my/id/eprint/34033/2/Monitoring%20deforestation%20in%20Sarawak%2C%20Malaysia%20using%20multitemporal%20Landsat%20data1.pdf Satoshi Tsuyuki and Goh, Mea How and Stephen Teo and Kamlisa Uni Kamlun and M Phua (2011) Monitoring deforestation in Sarawak, Malaysia using multitemporal Landsat data. Kanto Forest Research, 62. pp. 87-90. ISSN 1001-1498 https://www.apn-gcr.org/publication/monitoring-deforestation-in-sarawak-malaysia-using-multitemporal-landsat-data/
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
English
topic QH1-(199.5) General Including nature conservation, geographical distribution
spellingShingle QH1-(199.5) General Including nature conservation, geographical distribution
Satoshi Tsuyuki
Goh, Mea How
Stephen Teo
Kamlisa Uni Kamlun
M Phua
Monitoring deforestation in Sarawak, Malaysia using multitemporal Landsat data
description Deforestation is the most important problem facing tropical countries. This paper discusses the use of medium resolution Landsat data for monitoring deforestation in Sarawak, the largest state of Malaysia. Missing line correction and filtering of the SLC-OFF Landsat data was necessary prior to supervised classification. The overall accuracies of the classifications of 1990 and 2009 exceeded 80%. Of the total loss of 1.2 million ha of forests in the past two decades, more than 90% was peat swamp forests and intact forest. The overall deforestation rate of Sarawak was 0.64%. Deforestation at coastal divisions (eg Mukah) was due to forest to oil palm conversion in recent years. In inland divisions (eg Kapit), intact and secondary forests decreased due to logging followed by clearing for oil palm plantation.
format Article
author Satoshi Tsuyuki
Goh, Mea How
Stephen Teo
Kamlisa Uni Kamlun
M Phua
author_facet Satoshi Tsuyuki
Goh, Mea How
Stephen Teo
Kamlisa Uni Kamlun
M Phua
author_sort Satoshi Tsuyuki
title Monitoring deforestation in Sarawak, Malaysia using multitemporal Landsat data
title_short Monitoring deforestation in Sarawak, Malaysia using multitemporal Landsat data
title_full Monitoring deforestation in Sarawak, Malaysia using multitemporal Landsat data
title_fullStr Monitoring deforestation in Sarawak, Malaysia using multitemporal Landsat data
title_full_unstemmed Monitoring deforestation in Sarawak, Malaysia using multitemporal Landsat data
title_sort monitoring deforestation in sarawak, malaysia using multitemporal landsat data
publisher Institute of Forest Science, Kangwon National University
publishDate 2011
url https://eprints.ums.edu.my/id/eprint/34033/1/Monitoring%20deforestation%20in%20Sarawak%2C%20Malaysia%20using%20multitemporal%20Landsat%20data.pdf
https://eprints.ums.edu.my/id/eprint/34033/2/Monitoring%20deforestation%20in%20Sarawak%2C%20Malaysia%20using%20multitemporal%20Landsat%20data1.pdf
https://eprints.ums.edu.my/id/eprint/34033/
https://www.apn-gcr.org/publication/monitoring-deforestation-in-sarawak-malaysia-using-multitemporal-landsat-data/
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