Evaluation Of Land Cover Changes In Sultan Azlan Shah Dam Catchment Using Remote Sensing Techniques

The study deals with analyzing of the land cover change pattern in the Sultan Azlan Shah (SASD) catchment over a period of 14 years using updated remote sensing data. SPOT XS with acquisition date at 15 January 1996. SPOT 4 MS with acquisition date at 10 February 2002 and SPOT 5 MS with acquisition...

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Main Author: Razak, Mohd Firdaus Abdul
Format: Thesis
Language:English
Published: 2013
Subjects:
Online Access:http://eprints.usm.my/46165/
Abstract Abstract here
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author Razak, Mohd Firdaus Abdul
author_facet Razak, Mohd Firdaus Abdul
author_sort Razak, Mohd Firdaus Abdul
description The study deals with analyzing of the land cover change pattern in the Sultan Azlan Shah (SASD) catchment over a period of 14 years using updated remote sensing data. SPOT XS with acquisition date at 15 January 1996. SPOT 4 MS with acquisition date at 10 February 2002 and SPOT 5 MS with acquisition date at 20 February 2010 were used to generated land cover classification map. Unsupervised, supervised and hybrid classification methods were implemented in the classification process. A further post-classification processing was applied to the hybrid classification map which has produced the highest accuracy. Subsequently, post-classification comparison (PCC) was used to analyze the change in land cover. The results shows that using hybrid classification method produced highest overall accuracies for image 1996, 2002 and 2010 which were 77.60% ( =0.7267), 80.91% ( =0.7456) and 80.00% ( =0.7267).
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spelling usm-461652020-02-11T02:13:15Z http://eprints.usm.my/46165/ Evaluation Of Land Cover Changes In Sultan Azlan Shah Dam Catchment Using Remote Sensing Techniques Razak, Mohd Firdaus Abdul TA1-2040 Engineering (General). Civil engineering (General) The study deals with analyzing of the land cover change pattern in the Sultan Azlan Shah (SASD) catchment over a period of 14 years using updated remote sensing data. SPOT XS with acquisition date at 15 January 1996. SPOT 4 MS with acquisition date at 10 February 2002 and SPOT 5 MS with acquisition date at 20 February 2010 were used to generated land cover classification map. Unsupervised, supervised and hybrid classification methods were implemented in the classification process. A further post-classification processing was applied to the hybrid classification map which has produced the highest accuracy. Subsequently, post-classification comparison (PCC) was used to analyze the change in land cover. The results shows that using hybrid classification method produced highest overall accuracies for image 1996, 2002 and 2010 which were 77.60% ( =0.7267), 80.91% ( =0.7456) and 80.00% ( =0.7267). 2013-12 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/46165/1/Mohd%20Firdaus%20Bin%20Abdul%20Razak24.pdf Razak, Mohd Firdaus Abdul (2013) Evaluation Of Land Cover Changes In Sultan Azlan Shah Dam Catchment Using Remote Sensing Techniques. Masters thesis, Universiti Sains Malaysia.
spellingShingle TA1-2040 Engineering (General). Civil engineering (General)
Razak, Mohd Firdaus Abdul
Evaluation Of Land Cover Changes In Sultan Azlan Shah Dam Catchment Using Remote Sensing Techniques
thesis_level Master
title Evaluation Of Land Cover Changes In Sultan Azlan Shah Dam Catchment Using Remote Sensing Techniques
title_full Evaluation Of Land Cover Changes In Sultan Azlan Shah Dam Catchment Using Remote Sensing Techniques
title_fullStr Evaluation Of Land Cover Changes In Sultan Azlan Shah Dam Catchment Using Remote Sensing Techniques
title_full_unstemmed Evaluation Of Land Cover Changes In Sultan Azlan Shah Dam Catchment Using Remote Sensing Techniques
title_short Evaluation Of Land Cover Changes In Sultan Azlan Shah Dam Catchment Using Remote Sensing Techniques
title_sort evaluation of land cover changes in sultan azlan shah dam catchment using remote sensing techniques
topic TA1-2040 Engineering (General). Civil engineering (General)
url http://eprints.usm.my/46165/
work_keys_str_mv AT razakmohdfirdausabdul evaluationoflandcoverchangesinsultanazlanshahdamcatchmentusingremotesensingtechniques