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  • 标题:Land-Cover Change Detection in a Part of Cameron Highlands, Malaysia Using ETM+ Satellite Imagery and Support Vector Machine (SVM) Algorithm
  • 本地全文:下载
  • 作者:Ayub Mohammadi ; Himan Shahabi ; Baharin Bin Ahmad
  • 期刊名称:EnvironmentAsia
  • 印刷版ISSN:1906-1714
  • 出版年度:2019
  • 卷号:12
  • 期号:2
  • 页码:145-154
  • DOI:10.14456/ea.2019.36
  • 出版社:Thai Society of Higher Eduction Institutes on Environment
  • 摘要:The importance of the land cover map in many areas including environmental issues, regionalplanning, sustainable development and many other issues has been considered in the globalliterature. This study aims to detect land cover changes that occurred in a part of CameronHighlands, Pahang, Malaysia for a decade between early 2008 until the late 2017. However, inthis research Landsat-7 (ETM+) satellite data (2008 and 2017) were acquired and corrected usingenvironment for visualizing images (ENVI) software. Support vector machine (SVM) model wasused to classify land covers of both years. Results show that during this period of time forest hasunderwent considerable changes among all from 49.517532 km2 in 2008 to just 34.90341 km2 bythe year 2017. The second substantial change belongs to vegetation and florification from 31.265611km2 in 2008 to a peak of 42.83176 km2 by the year 2017. It means that forest mostly have beenreplaced by vegetation and florification. Furthermore, the overall accuracy and Kappa coefficientusing confusion matrix for the year 2008, using support vector machine classification model are96.4051% and 0.9294, respectively. While these values for the year 2017 are 97.5198% and 0.9674in order. The current research can be valuable for land cover management in Cameron Highlandsby Malaysian policy and decision makers.
  • 关键词:Remote sensing techniques; Geographical information system; Landsat image; Cameron;Highlands
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