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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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Main Authors: Sarmin, Noor Shaila, Ismail, Mohd Hasmadi, Zaki, Pakhriazad Hassan, Awang, Khairil Wahidin, Shidiq, Iqbal Putut Ash
Format: Article
Language:English
Published: Medwell Journals 2016
Online Access: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
http://psasir.upm.edu.my/id/eprint/54687/
https://www.medwelljournals.com/abstract/?doi=jeasci.2016.441.445
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spelling my.upm.eprints.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
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
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.
format Article
author Sarmin, Noor Shaila
Ismail, Mohd Hasmadi
Zaki, Pakhriazad Hassan
Awang, Khairil Wahidin
Shidiq, Iqbal Putut Ash
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
author_facet Sarmin, Noor Shaila
Ismail, Mohd Hasmadi
Zaki, Pakhriazad Hassan
Awang, Khairil Wahidin
Shidiq, Iqbal Putut Ash
author_sort Sarmin, Noor Shaila
title 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_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_sort land cover dynamics of sungai pulai mangrove forest using remote sensing and gis-preliminary results
publisher Medwell Journals
publishDate 2016
url 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
http://psasir.upm.edu.my/id/eprint/54687/
https://www.medwelljournals.com/abstract/?doi=jeasci.2016.441.445
_version_ 1643835685296144384
score 13.211869

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