Please use this identifier to cite or link to this item: http://umt-ir.umt.edu.my:8080/handle/123456789/3768
Full metadata record
DC FieldValueLanguage
dc.contributor.authorAbdul Wafi Sabri-
dc.date.accessioned2016-01-02T07:44:49Z-
dc.date.available2016-01-02T07:44:49Z-
dc.date.issued2013-11-
dc.identifier.urihttp://hdl.handle.net/123456789/3768-
dc.description.abstractCoral reefs in islands around Malaysia are astonishingly rich in marine diversity. Remote sensing is a potential tool for the mapping, monitoring and management of the coral reef ecosystems. In this study, the remote sensing satellite imagery were used to determine coral reef substrates at Lang Tengah Island. Commonly, most marine scientists adopt simple techniques of remote sensing, i.e. hard classification method in their research. However, this study was conducted to examine the potential of soft classification technique to classify coral reef substrates and to compare their accuracy with hard classification technique. The hard classification technique used is the Maximum-Likelihood, whilst the two soft classifications techniques chosen for this study were Bayesian probability theory and Dempster-Shafer theory.en_US
dc.language.isoenen_US
dc.publisherTerengganu: Universiti Malaysia Terengganuen_US
dc.subjectQE 575 .M3 A23 2014en_US
dc.subjectAbdul Wafi Sabrien_US
dc.subjectThesis INOS 2014en_US
dc.subjectCoral reefs and islands -- Malaysiaen_US
dc.titleApplication of soft classification techniques for coral habitat mapping using satellite imagery at Lang Tengah Islanden_US
dc.typeThesisen_US
Appears in Collections:Institut Oseanografi

Files in This Item:
File Description SizeFormat 
tesis QE 575 .M3 A23 2014 Abstract.pdf61.37 kBAdobe PDFView/Open
tesis QE 575 .M3 A23 2014 FullText.pdf
  Restricted Access
2.77 MBAdobe PDFView/Open Request a copy


Items in UMT-IR are protected by copyright, with all rights reserved, unless otherwise indicated.