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Ayer Hitam Forest (AHFR) from space using satellite remote sensing


Jusoff, Kamaruzaman and Ismail, Mohd Hasmadi (1999) Ayer Hitam Forest (AHFR) from space using satellite remote sensing. Pertanika Journal of Tropical Agricultural Science, 22 (2). pp. 131-139. ISSN 1511-3701


There is a high demand to map and monitor the land use and assess their condition for ecological and economic reasons. Information on existing land and cover and their spatial distribution is a pre-requisite for any planning, development and management programme. In this study, Landsat TM data of 1998 were acquired over the AHFR and it's vicinity which covers an area more than 1, 300 ha. The objective of this paper is to map AHFR and assess the land cover of AHFR in 1998 as well as its surrounding area using remote sensing technology. Digital data processing and analysis were carried out using PCI/EASI PACE software, version 6.2 available in Faculty of Forestry, UPM. A false Colour Composite (FCC) of Landsat TM band 4-5-3 (R-G-B) was used in supervised classification using Maximum Likelihood Classifier (MLC). From a visual interpretation, several features of AHFR could be identified such as federal road, forest road, cleared land, built-up area, oil palm, water bodies and rubber plantation etc. Meanwhile, digital classification showed that seven land use types surrounding AHFR such as forest, secondary forest/shrubs, oil palm, rubber, built-up area, cleared land and water bodies could a easily be mapped out. The mean overall classification accuracy obtained is 86.08 percent with an average accuracy o] 85.64 percent. Satellite map of AHFR is found to be useful for the macro planning and management purposes especially on the Environmental Impact Assessment (EIA) if further development on the area is to be politicized.

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Additional Metadata

Item Type: Article
Divisions: Institute of Bioscience
Publisher: Universiti Putra Malaysia Press
Keywords: Satellite; Space; Remote sensing; Forest
Depositing User: Nasirah Abu Samah
Date Deposited: 01 Dec 2009 03:57
Last Modified: 13 Jul 2020 04:15
URI: http://psasir.upm.edu.my/id/eprint/3738
Statistic Details: View Download Statistic

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