Change detection from landsat-5 TM satellite data

Mohamad Hashim, Ummi Kalsom and Ahmad, Asmala and Mohd Aboobaider, Burhanuddin and Sakidin, Hamzah and Balakrishnan, Subatira and Mohamad Isa, Mohd Sa'ari (2016) Change detection from landsat-5 TM satellite data. ARPN Journal Of Engineering And Applied Sciences, 11 (17). pp. 10234-10238. ISSN 1819-6608

Text 2.3.1.1.1.4 CHANGE DETECTION ARPN.pdf - Published Version Download (355kB)

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

Item Type:	Article
Uncontrolled Keywords:	support vector machine, change detection statistics, change detection analysis, landsat-5 TM.
Subjects:	Q Science > Q Science (General) T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General)
Divisions:	Faculty of Information and Communication Technology
Depositing User:	Muhammad Afiz Ahmad
Date Deposited:	31 Jul 2017 00:57
Last Modified:	27 Jul 2023 08:28
URI:	http://eprints.utem.edu.my/id/eprint/18849
Statistic Details:	View Download Statistic

Actions (login required)

View Item