Land cover dynamics of Sungai Pulai Mangrove Forest using Remote Sensing and GIS-preliminary results
Nowadays, mangroves, the most diversified ecosystem facing anthropogenic threats from various development activities. Remote Sensing (RS) data can provide spatio-temporal information on mangrove status for monitoring and management. This study was conducted to monitor the land cover dynamics of Sung...
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| Format: | Article |
| Language: | English |
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Medwell Journals
2016
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| Online Access: | http://psasir.upm.edu.my/id/eprint/54687/ http://psasir.upm.edu.my/id/eprint/54687/1/Land%20cover%20dynamics%20of%20Sungai%20Pulai%20Mangrove%20Forest%20using%20Remote%20Sensing%20and%20GIS-preliminary%20results.pdf |
| _version_ | 1848852608420151296 |
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| author | Sarmin, Noor Shaila Ismail, Mohd Hasmadi Zaki, Pakhriazad Hassan Awang, Khairil Wahidin Shidiq, Iqbal Putut Ash |
| author_facet | Sarmin, Noor Shaila Ismail, Mohd Hasmadi Zaki, Pakhriazad Hassan Awang, Khairil Wahidin Shidiq, Iqbal Putut Ash |
| author_sort | Sarmin, Noor Shaila |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Nowadays, mangroves, the most diversified ecosystem facing anthropogenic threats from various development activities. Remote Sensing (RS) data can provide spatio-temporal information on mangrove status for monitoring and management. This study was conducted to monitor the land cover dynamics of Sungai Pulai Mangrove Forests (SPMF) in Johor, Peninsular Malaysia between 2004 and 2014. Satellite data such as landsat TM and Landsat OLI were processed by using Envi and ARCGIS Software. A total of five land cover types were classified using supervised Maximum Likelihood (MLC) algorithm. Accuracy for the classification was assessed by using confusion matrix table. For 2004, 2009 and 2014 year’s imageries, the overall accuracies obtained were 76, 87 and 85% and Kappa coefficient were 0.71, 0.85 and 0.82, respectively. Results showed a continuous mangrove cover reduction from 2004-2009 and from 2009-2014. Approximately, 2,498 ha of mangrove cover was reduced and 3,905 ha ‘other vegetation’ cover increased between the 10 years period. |
| first_indexed | 2025-11-15T10:40:47Z |
| format | Article |
| id | upm-54687 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:40:47Z |
| publishDate | 2016 |
| publisher | Medwell Journals |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-546872018-04-19T03:12:33Z http://psasir.upm.edu.my/id/eprint/54687/ Land cover dynamics of Sungai Pulai Mangrove Forest using Remote Sensing and GIS-preliminary results Sarmin, Noor Shaila Ismail, Mohd Hasmadi Zaki, Pakhriazad Hassan Awang, Khairil Wahidin Shidiq, Iqbal Putut Ash Nowadays, mangroves, the most diversified ecosystem facing anthropogenic threats from various development activities. Remote Sensing (RS) data can provide spatio-temporal information on mangrove status for monitoring and management. This study was conducted to monitor the land cover dynamics of Sungai Pulai Mangrove Forests (SPMF) in Johor, Peninsular Malaysia between 2004 and 2014. Satellite data such as landsat TM and Landsat OLI were processed by using Envi and ARCGIS Software. A total of five land cover types were classified using supervised Maximum Likelihood (MLC) algorithm. Accuracy for the classification was assessed by using confusion matrix table. For 2004, 2009 and 2014 year’s imageries, the overall accuracies obtained were 76, 87 and 85% and Kappa coefficient were 0.71, 0.85 and 0.82, respectively. Results showed a continuous mangrove cover reduction from 2004-2009 and from 2009-2014. Approximately, 2,498 ha of mangrove cover was reduced and 3,905 ha ‘other vegetation’ cover increased between the 10 years period. Medwell Journals 2016 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/54687/1/Land%20cover%20dynamics%20of%20Sungai%20Pulai%20Mangrove%20Forest%20using%20Remote%20Sensing%20and%20GIS-preliminary%20results.pdf Sarmin, Noor Shaila and Ismail, Mohd Hasmadi and Zaki, Pakhriazad Hassan and Awang, Khairil Wahidin and Shidiq, Iqbal Putut Ash (2016) Land cover dynamics of Sungai Pulai Mangrove Forest using Remote Sensing and GIS-preliminary results. Journal of Engineering and Applied Sciences, 11 (3). pp. 441-445. ISSN 1816-949X; ESSN: 1818-7803 https://www.medwelljournals.com/abstract/?doi=jeasci.2016.441.445 10.3923/jeasci.2016.441.445 |
| spellingShingle | Sarmin, Noor Shaila Ismail, Mohd Hasmadi Zaki, Pakhriazad Hassan Awang, Khairil Wahidin Shidiq, Iqbal Putut Ash Land cover dynamics of Sungai Pulai Mangrove Forest using Remote Sensing and GIS-preliminary results |
| title | Land cover dynamics of Sungai Pulai Mangrove Forest using Remote Sensing and GIS-preliminary results |
| title_full | Land cover dynamics of Sungai Pulai Mangrove Forest using Remote Sensing and GIS-preliminary results |
| title_fullStr | Land cover dynamics of Sungai Pulai Mangrove Forest using Remote Sensing and GIS-preliminary results |
| title_full_unstemmed | Land cover dynamics of Sungai Pulai Mangrove Forest using Remote Sensing and GIS-preliminary results |
| title_short | Land cover dynamics of Sungai Pulai Mangrove Forest using Remote Sensing and GIS-preliminary results |
| title_sort | land cover dynamics of sungai pulai mangrove forest using remote sensing and gis-preliminary results |
| url | http://psasir.upm.edu.my/id/eprint/54687/ http://psasir.upm.edu.my/id/eprint/54687/ http://psasir.upm.edu.my/id/eprint/54687/ http://psasir.upm.edu.my/id/eprint/54687/1/Land%20cover%20dynamics%20of%20Sungai%20Pulai%20Mangrove%20Forest%20using%20Remote%20Sensing%20and%20GIS-preliminary%20results.pdf |