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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Institute of Forest Science, Kangwon National University
2011
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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/ |
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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 |
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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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