Determination of mangrove habitat using object based image analysis from Cherating to Pekan / Ahmad Kamil Mat Nawi

Mangroves are a major coastal feature and an integral part of the forest ecosystem in tropical and subtropical regions of the world. It provides essential ecosystem services to nearby communities. Destroying mangrove trees will have an adverse effect on the ecosystem, which will harm locals and thei...

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Main Author: Mat Nawi, Ahmad Kamil
Format: Student Project
Language:English
Published: 2023
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/87773/1/87773.pdf
https://ir.uitm.edu.my/id/eprint/87773/
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spelling my.uitm.ir.877732023-12-09T14:55:13Z https://ir.uitm.edu.my/id/eprint/87773/ Determination of mangrove habitat using object based image analysis from Cherating to Pekan / Ahmad Kamil Mat Nawi Mat Nawi, Ahmad Kamil Geographic information systems Mangroves are a major coastal feature and an integral part of the forest ecosystem in tropical and subtropical regions of the world. It provides essential ecosystem services to nearby communities. Destroying mangrove trees will have an adverse effect on the ecosystem, which will harm locals and their way of life. Despite their significance, coastal area development has a significant effect on decreasing land cover. Degradation of mangrove natural areas is often a result of development, and degradation of the mangrove area in the coastal area has long been a sensitive subject. So, it is an important research to understand the condition of mangroves habitat for the future environment. This research about the classification of the satellite Sentinel imagery for mangrove habitat in Pahang. Thus, two (2) image with different year which is 2019 and 2022 were used in this research to identify mangrove areas and determine the healthiness of mangrove habitat. The method used to process the data are by using Object Based Image Analysis (OBIA). It was new method of classification of the satellite imagery. In this research, the finding show that mangrove area is 1.6285 hectares in 2019 and 1.8059 hectares in 2023. The research result show that the mangrove area has increased up to 0.1774 hectares. The Normalised Difference Vegetation Index (NDVI) will be modelled to estimate the healthiness of mangrove forest. The NDVI range in 2022 is from 0.15 to 0.68 while in 2019 is from 0.15 to 0.50 This discovery will provide information about mangrove habitat in Pahang that is useful and should be taken into account when planning future development and managing natural resources along of the Pahang coastline. 2023-08 Student Project NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/87773/1/87773.pdf Determination of mangrove habitat using object based image analysis from Cherating to Pekan / Ahmad Kamil Mat Nawi. (2023) [Student Project] (Submitted)
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 Geographic information systems
spellingShingle Geographic information systems
Mat Nawi, Ahmad Kamil
Determination of mangrove habitat using object based image analysis from Cherating to Pekan / Ahmad Kamil Mat Nawi
description Mangroves are a major coastal feature and an integral part of the forest ecosystem in tropical and subtropical regions of the world. It provides essential ecosystem services to nearby communities. Destroying mangrove trees will have an adverse effect on the ecosystem, which will harm locals and their way of life. Despite their significance, coastal area development has a significant effect on decreasing land cover. Degradation of mangrove natural areas is often a result of development, and degradation of the mangrove area in the coastal area has long been a sensitive subject. So, it is an important research to understand the condition of mangroves habitat for the future environment. This research about the classification of the satellite Sentinel imagery for mangrove habitat in Pahang. Thus, two (2) image with different year which is 2019 and 2022 were used in this research to identify mangrove areas and determine the healthiness of mangrove habitat. The method used to process the data are by using Object Based Image Analysis (OBIA). It was new method of classification of the satellite imagery. In this research, the finding show that mangrove area is 1.6285 hectares in 2019 and 1.8059 hectares in 2023. The research result show that the mangrove area has increased up to 0.1774 hectares. The Normalised Difference Vegetation Index (NDVI) will be modelled to estimate the healthiness of mangrove forest. The NDVI range in 2022 is from 0.15 to 0.68 while in 2019 is from 0.15 to 0.50 This discovery will provide information about mangrove habitat in Pahang that is useful and should be taken into account when planning future development and managing natural resources along of the Pahang coastline.
format Student Project
author Mat Nawi, Ahmad Kamil
author_facet Mat Nawi, Ahmad Kamil
author_sort Mat Nawi, Ahmad Kamil
title Determination of mangrove habitat using object based image analysis from Cherating to Pekan / Ahmad Kamil Mat Nawi
title_short Determination of mangrove habitat using object based image analysis from Cherating to Pekan / Ahmad Kamil Mat Nawi
title_full Determination of mangrove habitat using object based image analysis from Cherating to Pekan / Ahmad Kamil Mat Nawi
title_fullStr Determination of mangrove habitat using object based image analysis from Cherating to Pekan / Ahmad Kamil Mat Nawi
title_full_unstemmed Determination of mangrove habitat using object based image analysis from Cherating to Pekan / Ahmad Kamil Mat Nawi
title_sort determination of mangrove habitat using object based image analysis from cherating to pekan / ahmad kamil mat nawi
publishDate 2023
url https://ir.uitm.edu.my/id/eprint/87773/1/87773.pdf
https://ir.uitm.edu.my/id/eprint/87773/
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score 13.160551