Assessing and monitoring of peat swamp forest changes in Selangor using landsat TM satellite imagery

Kamaruzaman Jusoh, . and Zulhazman Hamzah, . (2004) Assessing and monitoring of peat swamp forest changes in Selangor using landsat TM satellite imagery. [Proceedings Paper]

In recent years the rate of development related to agriculture and urbanization in the state of Selangor has accelerated tremendously in recent years with a corresponding escalation in the rate of depletion of the forest areas including the peat swamp forest PSF. This trend has given rise to fears of impending depletion of PSF and considerable concern for environmental stability and quality. Under these circumstances the need for conservation and effective management of PSF in Selangor is imperative and cannot be over emphasized. One fundamental set of tools crucial in monitoring and managing PSF cover changes is the data provided by the satellite remote sensing. This study was undertaken to monitor PSF cover changes in the State of Selangor using remote sensing technology. Detection of PSF cover was performed using multi-temporal LANDSAT data taken 1993 and 1996 with the support of existing land use/cover topographic and forest resource maps. The data were initially analysed using Normalized Differences Vegetation Index NDVI in order to obtain a preliminary scenario of the change in the PSF cover. The data were then classified using a Maximum Likelihood Classifier MLC and overlaid to generate PSF cover change. The study mapped and quantified that there was a loss of PSF in Selangor at a rate of 655.2 ha 0.87 with a mean overall accuracy of 77.7. Factors causing PSF depletion include the conversion of 404.7 ha of Kuala Langat Forest Reserve for abongine settlement and logging of 218 ha of commercial species such as Shorea uitginosa Meranti Bakau Koompasia Kempas Gonystylus bacanus Ramin Melawis Anisoptera marginata Mersawa Paya and Dactyodese incut-vata Kedondong Senggeh in Raja Musa Forest Reserve

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Abstract

In recent years the rate of development related to agriculture and urbanization in the state of Selangor has accelerated tremendously in recent years with a corresponding escalation in the rate of depletion of the forest areas including the peat swamp forest PSF. This trend has given rise to fears of impending depletion of PSF and considerable concern for environmental stability and quality. Under these circumstances the need for conservation and effective management of PSF in Selangor is imperative and cannot be over emphasized. One fundamental set of tools crucial in monitoring and managing PSF cover changes is the data provided by the satellite remote sensing. This study was undertaken to monitor PSF cover changes in the State of Selangor using remote sensing technology. Detection of PSF cover was performed using multi-temporal LANDSAT data taken 1993 and 1996 with the support of existing land use/cover topographic and forest resource maps. The data were initially analysed using Normalized Differences Vegetation Index NDVI in order to obtain a preliminary scenario of the change in the PSF cover. The data were then classified using a Maximum Likelihood Classifier MLC and overlaid to generate PSF cover change. The study mapped and quantified that there was a loss of PSF in Selangor at a rate of 655.2 ha 0.87 with a mean overall accuracy of 77.7. Factors causing PSF depletion include the conversion of 404.7 ha of Kuala Langat Forest Reserve for abongine settlement and logging of 218 ha of commercial species such as Shorea uitginosa Meranti Bakau Koompasia Kempas Gonystylus bacanus Ramin Melawis Anisoptera marginata Mersawa Paya and Dactyodese incut-vata Kedondong Senggeh in Raja Musa Forest Reserve

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Item Type:	Proceedings Paper
Additional Information:	Summary En
AGROVOC Term:	Peat
AGROVOC Term:	Forests
AGROVOC Term:	Landsat
AGROVOC Term:	Satellite imagery
AGROVOC Term:	Urbanization
AGROVOC Term:	Conservation storage
Geographical Term:	MALAYSIA
Depositing User:	Ms. Norfaezah Khomsan
Last Modified:	24 Apr 2025 05:27
URI:	http://webagris.upm.edu.my/id/eprint/16423

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