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dc.contributor.authorCorner, Robert Jonathan
dc.contributor.authorDewan, Ashraf
dc.contributor.authorChakma, Salit
dc.contributor.editorAshraf Dewan
dc.contributor.editorRobert Corner
dc.date.accessioned2017-01-30T11:05:57Z
dc.date.available2017-01-30T11:05:57Z
dc.date.created2014-03-16T20:01:16Z
dc.date.issued2013
dc.identifier.citationCorner, Robert J. and Dewan, Ashraf M. and Chakma, Salit. 2013. Monitoring and Prediction of Land-Use and Land-Cover (LULC) Change, in Dewan, A. and Corner, R. (ed), Dhaka Megacity – Geospatial Perspectives on Urbanisation, Environment and Health. pp. 75-98. America: Springer.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/8328
dc.identifier.doi10.1007/978-94-007-6735-5_5
dc.description.abstract

This chapter looks at the use of a Markov chain–cellular automata method to model and then predict land-use change in Dhaka. Initially land-use/land-cover maps for three separate time periods were derived from satellite images and evaluated against ground truth. The Markov chain method was then used to establish transition probability matrices between land-cover categories for the time periods represented. The use of cellular automata in this work enables neighbourhood interactions to be accounted for. After an initial calibration run, the combined method is then used to predict land use and land cover in 2022 and 2033.

dc.publisherSpringer
dc.subjectMarkov-Cellular automata
dc.subjectLandsat TM
dc.subjectBuilt-up areas
dc.subjectGeospatial techniques
dc.subjectModelling
dc.subjectLULC dynamics
dc.titleMonitoring and Prediction of Land-Use and Land-Cover (LULC) Change
dc.typeBook Chapter
dcterms.source.startPage75
dcterms.source.endPage98
dcterms.source.titleDhaka Megacity – Geospatial Perspectives on Urbanisation, Environment and Health
dcterms.source.isbn978-94-007-6734-8
dcterms.source.placeAmerica
dcterms.source.chapter20
curtin.department
curtin.accessStatusFulltext not available


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