Analysis of satellite remote sensing and driver-pressure-state-impactresponse framework in Selangor river basin area
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Creator 1. Syed Muhammad Iqbal Sayad Romli
2. Illyani Ibrahim
3. Azila Ahmad Sarkawi
4. Kamal Solhaimi Fadzil
5. Tengku Adeline Adura Tengku Hamzah
6. Azizan Abu Samah
Title Analysis of satellite remote sensing and driver-pressure-state-impactresponse framework in Selangor river basin area
Publisher Research and Development Office, Prince of Songkla University
Publication Year 2022
Journal Title Songklanakarin Journal of Science an Technology (SJST)
Journal Vol. 44
Journal No. 2
Page no. 568-575
Keyword land cover, forest, Selangor River basin, remote sensing
URL Website https://rdo.psu.ac.th/sjst/index.php
ISSN 0125-3395
Abstract Forest resources have come under growing pressure over time that led to forest degradation. The goal of this research isto use remote sensing to examine land cover changes in the study region, and then to construct the DPSIR framework for futuredecision making. Datasets of four Landsat images were based upon to produce the land-cover map and identify the land-coverchanges. The Landsat imagesโ methodology of land-cover classification was unsupervised pixel-based classification. The specificland cover includes forest, built-up area, bare land, vegetation, water bodies, and cloud. Image classification found that forestchanged between 1990 and 2020 were decreasing, respectively, at 17.05 percent of total change. An increase was noted in thebuilt-up area, by 18.56 percent over the 30-year timeline. Factors contributing to the decrease of forest include anthropogenicfactor. A DPSIR framework was produced to provide the relevant indicators and allow policymakers to contribute input onenvironmental concerns of the future impact in policy development.
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