Mangrove dynamics evaluation at Matang Mangrove Forest Reserved by multi-temporal satellite imageries / Nurul Asyikin Ibharim, Muhammad Akmal Roslani and Muzzneena Ahmad Mustapha

Mangrove ecosystems support a wide range of terrestrial and marine organisms by offering sustenance, reproductive habitats, and nurturing environments. The Matang Mangrove Forest Reserve (MMFR), spanning over 40,000 ha, poses challenges in effectively managing and evaluating the entire area. Hence,...

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Main Authors: Ibharim, Nurul Asyikin, Roslani, Muhammad Akmal, Ahmad Mustapha, Muzzneena
Format: Article
Language:English
Published: UiTM Press 2024
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/88918/1/88918.pdf
https://ir.uitm.edu.my/id/eprint/88918/
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Institution: Universiti Teknologi Mara
Language: English
id my.uitm.ir.88918
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spelling my.uitm.ir.889182024-01-03T08:02:12Z https://ir.uitm.edu.my/id/eprint/88918/ Mangrove dynamics evaluation at Matang Mangrove Forest Reserved by multi-temporal satellite imageries / Nurul Asyikin Ibharim, Muhammad Akmal Roslani and Muzzneena Ahmad Mustapha bej Ibharim, Nurul Asyikin Roslani, Muhammad Akmal Ahmad Mustapha, Muzzneena Mangrove forests Mangrove ecosystems support a wide range of terrestrial and marine organisms by offering sustenance, reproductive habitats, and nurturing environments. The Matang Mangrove Forest Reserve (MMFR), spanning over 40,000 ha, poses challenges in effectively managing and evaluating the entire area. Hence, remote sensing techniques are employed to effectively monitor and map the temporal fluctuations of land use and land cover occurring within mangrove forest areas. In this study, dynamics over nine (9) years (2011 to 2020) of the mangrove ecosystem were evaluated using RapidEye 2011 and Landsat 8 (OLI) 2020 satellite imageries. Change detection was implemented using pixel-by-pixel modelling analysis. The present study revealed the conversion of mangrove area to waterbody at 4625.1 ha (16.7%), dryland forest at 1886.1 ha (6.8%), and oil palm plantations at 186.9 ha (0.7%). The area conversion was attributed to erosion, logging operations, the establishment of aquaculture facilities, and agricultural practices. Hence, the acquisition of data pertaining to the present condition of mangrove forest species, as well as the temporal fluctuations in the study area, holds significant importance for all stakeholders involved in the preservation of this ecosystem. UiTM Press 2024-01 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/88918/1/88918.pdf Mangrove dynamics evaluation at Matang Mangrove Forest Reserved by multi-temporal satellite imageries / Nurul Asyikin Ibharim, Muhammad Akmal Roslani and Muzzneena Ahmad Mustapha. (2024) Built Environment Journal <https://ir.uitm.edu.my/view/publication/Built_Environment_Journal/>, 21 (1): 8. pp. 97-108. ISSN 2637-0395
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Mangrove forests
spellingShingle Mangrove forests
Ibharim, Nurul Asyikin
Roslani, Muhammad Akmal
Ahmad Mustapha, Muzzneena
Mangrove dynamics evaluation at Matang Mangrove Forest Reserved by multi-temporal satellite imageries / Nurul Asyikin Ibharim, Muhammad Akmal Roslani and Muzzneena Ahmad Mustapha
description Mangrove ecosystems support a wide range of terrestrial and marine organisms by offering sustenance, reproductive habitats, and nurturing environments. The Matang Mangrove Forest Reserve (MMFR), spanning over 40,000 ha, poses challenges in effectively managing and evaluating the entire area. Hence, remote sensing techniques are employed to effectively monitor and map the temporal fluctuations of land use and land cover occurring within mangrove forest areas. In this study, dynamics over nine (9) years (2011 to 2020) of the mangrove ecosystem were evaluated using RapidEye 2011 and Landsat 8 (OLI) 2020 satellite imageries. Change detection was implemented using pixel-by-pixel modelling analysis. The present study revealed the conversion of mangrove area to waterbody at 4625.1 ha (16.7%), dryland forest at 1886.1 ha (6.8%), and oil palm plantations at 186.9 ha (0.7%). The area conversion was attributed to erosion, logging operations, the establishment of aquaculture facilities, and agricultural practices. Hence, the acquisition of data pertaining to the present condition of mangrove forest species, as well as the temporal fluctuations in the study area, holds significant importance for all stakeholders involved in the preservation of this ecosystem.
format Article
author Ibharim, Nurul Asyikin
Roslani, Muhammad Akmal
Ahmad Mustapha, Muzzneena
author_facet Ibharim, Nurul Asyikin
Roslani, Muhammad Akmal
Ahmad Mustapha, Muzzneena
author_sort Ibharim, Nurul Asyikin
title Mangrove dynamics evaluation at Matang Mangrove Forest Reserved by multi-temporal satellite imageries / Nurul Asyikin Ibharim, Muhammad Akmal Roslani and Muzzneena Ahmad Mustapha
title_short Mangrove dynamics evaluation at Matang Mangrove Forest Reserved by multi-temporal satellite imageries / Nurul Asyikin Ibharim, Muhammad Akmal Roslani and Muzzneena Ahmad Mustapha
title_full Mangrove dynamics evaluation at Matang Mangrove Forest Reserved by multi-temporal satellite imageries / Nurul Asyikin Ibharim, Muhammad Akmal Roslani and Muzzneena Ahmad Mustapha
title_fullStr Mangrove dynamics evaluation at Matang Mangrove Forest Reserved by multi-temporal satellite imageries / Nurul Asyikin Ibharim, Muhammad Akmal Roslani and Muzzneena Ahmad Mustapha
title_full_unstemmed Mangrove dynamics evaluation at Matang Mangrove Forest Reserved by multi-temporal satellite imageries / Nurul Asyikin Ibharim, Muhammad Akmal Roslani and Muzzneena Ahmad Mustapha
title_sort mangrove dynamics evaluation at matang mangrove forest reserved by multi-temporal satellite imageries / nurul asyikin ibharim, muhammad akmal roslani and muzzneena ahmad mustapha
publisher UiTM Press
publishDate 2024
url https://ir.uitm.edu.my/id/eprint/88918/1/88918.pdf
https://ir.uitm.edu.my/id/eprint/88918/
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