eprintid: 7729 rev_number: 2 eprint_status: archive userid: 1 dir: disk0/00/00/77/29 datestamp: 2023-11-09 16:19:33 lastmod: 2023-11-09 16:19:33 status_changed: 2023-11-09 16:10:16 type: article metadata_visibility: show creators_name: Hashim, U.K.M. creators_name: Ahmad, A. creators_name: Aboobaider, B.M. creators_name: Sakidin, H. creators_name: Subatira, B. creators_name: Isa, M.S.M. title: Change detection from Landsat-5 TM Satellite data ispublished: pub note: cited By 2 abstract: In this study, we carried out land cover change detection using satellite remote sensing data. The data came from Landsat-5 TM satellite covering the area of Klang, located in Selangor, Malaysia. Initially, region of interests (ROI) were drawn on each of the land cover classes identified in order to extract the training sets. Landsat bands 1, 2, 3, 4, 5 and 7 were then used as the input for the Support Vector Machine classification. The accuracy of the classifications was then assessed by comparing the classifications with a reference data set using a confusion matrix. The classification results were used to identify the conversion of land cover from year 2000 to 2005, using statistical change detection techniques. The outcomes of change detection analysis are reported in terms of pixel counts, percentages and areas. © 2006-2016 Asian Research Publishing Network (ARPN). All rights reserved. date: 2016 publisher: Asian Research Publishing Network official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84995469201&partnerID=40&md5=cd8614957a0b9f20165d5eebd70dc760 full_text_status: none publication: ARPN Journal of Engineering and Applied Sciences volume: 11 number: 17 pagerange: 10234-10238 refereed: TRUE issn: 18196608 citation: Hashim, U.K.M. and Ahmad, A. and Aboobaider, B.M. and Sakidin, H. and Subatira, B. and Isa, M.S.M. (2016) Change detection from Landsat-5 TM Satellite data. ARPN Journal of Engineering and Applied Sciences, 11 (17). pp. 10234-10238. ISSN 18196608