Abstract
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.
Metadata
Item Type: | Student Project |
---|---|
Creators: | Creators Email / ID Num. Mat Nawi, Ahmad Kamil UNSPECIFIED |
Contributors: | Contribution Name Email / ID Num. UNSPECIFIED Mohd, Fazly Amry UNSPECIFIED |
Subjects: | G Geography. Anthropology. Recreation > G Geography (General) > Geographic information systems |
Divisions: | Universiti Teknologi MARA, Perlis > Arau Campus > Faculty of Architecture, Planning and Surveying |
Programme: | Bachelor of Surveying Science and Geomatics (Hons.) |
Keywords: | Mangrove, Remote Sensing, Geographic Information System, Normalized Difference Vegetation Index, Object-Based Image Analysis |
Date: | August 2023 |
URI: | https://ir.uitm.edu.my/id/eprint/87773 |
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