Initial results of the spatial distribution of rubber trees in Peninsular Malaysia using remotely sensed data for biomass estimate
The preservation and sustainable management of forest and other land cover ecosystems such as rubber trees will help addressing two major recent issues: climate change and bio-resource energy. The rubber trees are dominantly distributed in the Negeri Sembilan and Kedah on the west coast side of Peni...
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my.upm.eprints.430892016-05-18T01:30:38Z http://psasir.upm.edu.my/id/eprint/43089/ Initial results of the spatial distribution of rubber trees in Peninsular Malaysia using remotely sensed data for biomass estimate Shidiq, Iqbal Putut Ash Ismail, Mohd Hasmadi Kamarudin, Norizah The preservation and sustainable management of forest and other land cover ecosystems such as rubber trees will help addressing two major recent issues: climate change and bio-resource energy. The rubber trees are dominantly distributed in the Negeri Sembilan and Kedah on the west coast side of Peninsular Malaysia. This study is aimed to analyse the spatial distribution and biomass of rubber trees in Peninsular Malaysia with special emphasis in Negeri Sembilan State. Geospatial data from remote sensors are used to tackle the time and labour consuming problem due to the large spatial coverage and the need of continuous temporal data. Remote sensing imagery used in this study is a Landsat 5 TM. The image from optical sensor was used to sense the rubber trees and further classified rubber tree by different age. IOP Publishing 2013 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/43089/1/ees14_18_012135.pdf Shidiq, Iqbal Putut Ash and Ismail, Mohd Hasmadi and Kamarudin, Norizah (2013) Initial results of the spatial distribution of rubber trees in Peninsular Malaysia using remotely sensed data for biomass estimate. In: 8th International Symposium on Digital Earth (ISDE), 26–29 Aug. 2013, Kuching, Sarawak. (pp. 1-6). 10.1088/1755-1315/18/1/012135 |
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The preservation and sustainable management of forest and other land cover ecosystems such as rubber trees will help addressing two major recent issues: climate change and bio-resource energy. The rubber trees are dominantly distributed in the Negeri Sembilan and Kedah on the west coast side of Peninsular Malaysia. This study is aimed to analyse the spatial distribution and biomass of rubber trees in Peninsular Malaysia with special emphasis in Negeri Sembilan State. Geospatial data from remote sensors are used to tackle the time and labour consuming problem due to the large spatial coverage and the need of continuous temporal data. Remote sensing imagery used in this study is a Landsat 5 TM. The image from optical sensor was used to sense the rubber trees and further classified rubber tree by different age. |
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Conference or Workshop Item |
author |
Shidiq, Iqbal Putut Ash Ismail, Mohd Hasmadi Kamarudin, Norizah |
spellingShingle |
Shidiq, Iqbal Putut Ash Ismail, Mohd Hasmadi Kamarudin, Norizah Initial results of the spatial distribution of rubber trees in Peninsular Malaysia using remotely sensed data for biomass estimate |
author_facet |
Shidiq, Iqbal Putut Ash Ismail, Mohd Hasmadi Kamarudin, Norizah |
author_sort |
Shidiq, Iqbal Putut Ash |
title |
Initial results of the spatial distribution of rubber trees in Peninsular Malaysia using remotely sensed data for biomass estimate |
title_short |
Initial results of the spatial distribution of rubber trees in Peninsular Malaysia using remotely sensed data for biomass estimate |
title_full |
Initial results of the spatial distribution of rubber trees in Peninsular Malaysia using remotely sensed data for biomass estimate |
title_fullStr |
Initial results of the spatial distribution of rubber trees in Peninsular Malaysia using remotely sensed data for biomass estimate |
title_full_unstemmed |
Initial results of the spatial distribution of rubber trees in Peninsular Malaysia using remotely sensed data for biomass estimate |
title_sort |
initial results of the spatial distribution of rubber trees in peninsular malaysia using remotely sensed data for biomass estimate |
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IOP Publishing |
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2013 |
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http://psasir.upm.edu.my/id/eprint/43089/1/ees14_18_012135.pdf http://psasir.upm.edu.my/id/eprint/43089/ |
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