Application of remote sensing in mangroves at the surrounding of Sungai Selangor Estuary in Kuala Selangor / Syed Muhammad Iqbal Sayad Romli ... [et al.]

Sayad Romli, Syed Muhammad Iqbal and Ibrahim, Illynani and Asmawi, MZainora and Abu Samah, Azizan (2021) Application of remote sensing in mangroves at the surrounding of Sungai Selangor Estuary in Kuala Selangor / Syed Muhammad Iqbal Sayad Romli ... [et al.]. Built Environment Journal, 18 (2): 4. pp. 38-46. ISSN 2637-0395

Official URL: https://bej.uitm.edu.my/

Abstract

The mangrove forest ecosystem protects the land area from the tidal wave hence preventing the coastal areas and properties from severe damage. Mangroves provide valuable ecological services and goods, sediment retention, food sources of some animals, and stabilisation of the coastal areas. Unfortunately, the species have been experiencing an extensive loss in many parts of the world. This paper aims to detect the changes in mangrove forests and possible changes in the Selangor river basin area. The methodology uses remote sensing data via supervised classification on a maximum likelihood algorithm to analyse the distribution of mangrove forests at the Selangor River basin for a thirty-two-year period, from 1989 to 2021. The findings indicate that the percentage of mangroves in the study area has reduced over the study period. The coverage of mangroves has reduced from 24.29 percent (1989) to 15.57 percent in 2008, and continued to reduce to 13.12 percent in 2021. The research finding indicates a decrease in mangroves due to aquaculture, tourism, agriculture, and other human activities. Such a trend may risk coastal and river erosion, thus necessitating a revision of the management policies for environmental protection.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Sayad Romli, Syed Muhammad Iqbal
UNSPECIFIED
Ibrahim, Illynani
UNSPECIFIED
Asmawi, MZainora
UNSPECIFIED
Abu Samah, Azizan
UNSPECIFIED
Subjects: G Geography. Anthropology. Recreation > G Geography (General) > Remote Sensing
Q Science > QK Botany > Plant ecology > Mangrove forests
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Architecture, Planning and Surveying
Journal or Publication Title: Built Environment Journal
UiTM Journal Collections: UiTM Journal > Built Environment Journal (BEJ)
ISSN: 2637-0395
Volume: 18
Number: 2
Page Range: pp. 38-46
Keywords: Mangrove, forest, remote sensing, Selangor river basin
Date: July 2021
URI: https://ir.uitm.edu.my/id/eprint/65463
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