Ayer Hitam Forest (AHFR) from space using satellite remote sensing
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 19...
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| Format: | Article |
| Language: | English |
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Universiti Putra Malaysia Press
1999
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| Online Access: | http://psasir.upm.edu.my/id/eprint/3738/ http://psasir.upm.edu.my/id/eprint/3738/1/Ayer_Hitam_Forest_%28AHFR%29_from_Space_Using_Satellite_Remote_Sensing.pdf |
| _version_ | 1848839614144446464 |
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| author | Jusoff, Kamaruzaman Ismail, Mohd Hasmadi |
| author_facet | Jusoff, Kamaruzaman Ismail, Mohd Hasmadi |
| author_sort | Jusoff, Kamaruzaman |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T07:14:15Z |
| format | Article |
| id | upm-3738 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T07:14:15Z |
| publishDate | 1999 |
| publisher | Universiti Putra Malaysia Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-37382020-07-13T04:15:16Z http://psasir.upm.edu.my/id/eprint/3738/ Ayer Hitam Forest (AHFR) from space using satellite remote sensing Jusoff, Kamaruzaman Ismail, Mohd Hasmadi 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. Universiti Putra Malaysia Press 1999 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/3738/1/Ayer_Hitam_Forest_%28AHFR%29_from_Space_Using_Satellite_Remote_Sensing.pdf 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 |
| spellingShingle | Jusoff, Kamaruzaman Ismail, Mohd Hasmadi Ayer Hitam Forest (AHFR) from space using satellite remote sensing |
| title | Ayer Hitam Forest (AHFR) from space using satellite remote sensing |
| title_full | Ayer Hitam Forest (AHFR) from space using satellite remote sensing |
| title_fullStr | Ayer Hitam Forest (AHFR) from space using satellite remote sensing |
| title_full_unstemmed | Ayer Hitam Forest (AHFR) from space using satellite remote sensing |
| title_short | Ayer Hitam Forest (AHFR) from space using satellite remote sensing |
| title_sort | ayer hitam forest (ahfr) from space using satellite remote sensing |
| url | http://psasir.upm.edu.my/id/eprint/3738/ http://psasir.upm.edu.my/id/eprint/3738/1/Ayer_Hitam_Forest_%28AHFR%29_from_Space_Using_Satellite_Remote_Sensing.pdf |