Assessment of Forest Cover Changes Using Landsat TM for Langkawi Islands, Malaysia
One of the major environmental issues today is the rapid conversion of tropical forest to agriculture, pasture, human settlement, urban area, and many other land uses. Under these circumstances, the need for conservation and effective management of forest is imperative. One of the present technol...
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| Format: | Thesis |
| Language: | English English |
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1999
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| Online Access: | http://psasir.upm.edu.my/id/eprint/9988/1/FH_1999_12_A.pdf |
| _version_ | 1825944702656970752 |
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| author | Mohd. Hassan, Haszuliana |
| author_facet | Mohd. Hassan, Haszuliana |
| author_sort | Mohd. Hassan, Haszuliana |
| collection | UPM |
| description | One of the major environmental issues today is the rapid conversion of
tropical forest to agriculture, pasture, human settlement, urban area, and many
other land uses. Under these circumstances, the need for conservation and
effective management of forest is imperative. One of the present technologies
being used in the monitoring of environment changes is remote sensing. This
study was undertaken to verify the suitability and capability of LANDSAT TM in
monitoring forest changes on langkawi Islands. Detection of forest cover
change was performed using multi temporal LANDSAT data taken in 1992 and
1996, with the support of existing land use, topographic, and forest resource
maps. The data were classified using maximum likelihood classifier (MLC) and
overlay to generate forest change. Principal component analysis (PCA) was
also used to detect changes where the multi temporal of six bands data were
combined and treated as a single 12-dimensional data. A new set of images
were obtained from a PCA color composites of PC2, PC3 and PC4 and were
then classified using supervised classification to detect forest changes.
It was found that MLC and PCA gave high overall accuracy of 90 per
cent. However, MLC was found to be more accurate because of its better
delineation along the forest cover changes in multi temporal data. The study
quantified that the rate of deforestation of Langkawi Islands is about 235.18
halyr with a n accuracy of 93 percent. Factors causing forest cover changes
include the expansion of tourism industry, encroachment of forest areas by
local people and development of socio-economic activities such as residential
areas, road network, quarries, jetties and agriculture. |
| first_indexed | 2024-03-06T07:20:02Z |
| format | Thesis |
| id | upm.eprints-9988 |
| institution | Universiti Putra Malaysia |
| language | English English |
| last_indexed | 2024-03-06T07:20:02Z |
| publishDate | 1999 |
| record_format | dspace |
| spelling | upm.eprints-99882011-02-28T05:04:55Z http://psasir.upm.edu.my/id/eprint/9988/ Assessment of Forest Cover Changes Using Landsat TM for Langkawi Islands, Malaysia Mohd. Hassan, Haszuliana One of the major environmental issues today is the rapid conversion of tropical forest to agriculture, pasture, human settlement, urban area, and many other land uses. Under these circumstances, the need for conservation and effective management of forest is imperative. One of the present technologies being used in the monitoring of environment changes is remote sensing. This study was undertaken to verify the suitability and capability of LANDSAT TM in monitoring forest changes on langkawi Islands. Detection of forest cover change was performed using multi temporal LANDSAT data taken in 1992 and 1996, with the support of existing land use, topographic, and forest resource maps. The data were classified using maximum likelihood classifier (MLC) and overlay to generate forest change. Principal component analysis (PCA) was also used to detect changes where the multi temporal of six bands data were combined and treated as a single 12-dimensional data. A new set of images were obtained from a PCA color composites of PC2, PC3 and PC4 and were then classified using supervised classification to detect forest changes. It was found that MLC and PCA gave high overall accuracy of 90 per cent. However, MLC was found to be more accurate because of its better delineation along the forest cover changes in multi temporal data. The study quantified that the rate of deforestation of Langkawi Islands is about 235.18 halyr with a n accuracy of 93 percent. Factors causing forest cover changes include the expansion of tourism industry, encroachment of forest areas by local people and development of socio-economic activities such as residential areas, road network, quarries, jetties and agriculture. 1999 Thesis NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/9988/1/FH_1999_12_A.pdf Mohd. Hassan, Haszuliana (1999) Assessment of Forest Cover Changes Using Landsat TM for Langkawi Islands, Malaysia. Masters thesis, Universiti Putra Malaysia. Forest mapping - Kedah - Langkawi English |
| spellingShingle | Forest mapping - Kedah - Langkawi Mohd. Hassan, Haszuliana Assessment of Forest Cover Changes Using Landsat TM for Langkawi Islands, Malaysia |
| title | Assessment of Forest Cover Changes Using Landsat TM for Langkawi Islands, Malaysia |
| title_full | Assessment of Forest Cover Changes Using Landsat TM for Langkawi Islands, Malaysia |
| title_fullStr | Assessment of Forest Cover Changes Using Landsat TM for Langkawi Islands, Malaysia |
| title_full_unstemmed | Assessment of Forest Cover Changes Using Landsat TM for Langkawi Islands, Malaysia |
| title_short | Assessment of Forest Cover Changes Using Landsat TM for Langkawi Islands, Malaysia |
| title_sort | assessment of forest cover changes using landsat tm for langkawi islands malaysia |
| topic | Forest mapping - Kedah - Langkawi |
| url | http://psasir.upm.edu.my/id/eprint/9988/1/FH_1999_12_A.pdf |
| work_keys_str_mv | AT mohdhassanhaszuliana assessmentofforestcoverchangesusinglandsattmforlangkawiislandsmalaysia |