Monitoring and Prediction of Land-Use and Land-Cover (LULC) Change
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...
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| Format: | Book Chapter |
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Springer
2013
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| Online Access: | http://hdl.handle.net/20.500.11937/8328 |
| _version_ | 1848745625583091712 |
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| author | Corner, Robert Jonathan Dewan, Ashraf Chakma, Salit |
| author2 | Ashraf Dewan |
| author_facet | Ashraf Dewan Corner, Robert Jonathan Dewan, Ashraf Chakma, Salit |
| author_sort | Corner, Robert Jonathan |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T06:20:20Z |
| format | Book Chapter |
| id | curtin-20.500.11937-8328 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:20:20Z |
| publishDate | 2013 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-83282023-02-07T08:01:24Z Monitoring and Prediction of Land-Use and Land-Cover (LULC) Change Corner, Robert Jonathan Dewan, Ashraf Chakma, Salit Ashraf Dewan Robert Corner Markov-Cellular automata Landsat TM Built-up areas Geospatial techniques Modelling LULC dynamics 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. 2013 Book Chapter http://hdl.handle.net/20.500.11937/8328 10.1007/978-94-007-6735-5_5 Springer restricted |
| spellingShingle | Markov-Cellular automata Landsat TM Built-up areas Geospatial techniques Modelling LULC dynamics Corner, Robert Jonathan Dewan, Ashraf Chakma, Salit Monitoring and Prediction of Land-Use and Land-Cover (LULC) Change |
| title | Monitoring and Prediction of Land-Use and Land-Cover (LULC) Change |
| title_full | Monitoring and Prediction of Land-Use and Land-Cover (LULC) Change |
| title_fullStr | Monitoring and Prediction of Land-Use and Land-Cover (LULC) Change |
| title_full_unstemmed | Monitoring and Prediction of Land-Use and Land-Cover (LULC) Change |
| title_short | Monitoring and Prediction of Land-Use and Land-Cover (LULC) Change |
| title_sort | monitoring and prediction of land-use and land-cover (lulc) change |
| topic | Markov-Cellular automata Landsat TM Built-up areas Geospatial techniques Modelling LULC dynamics |
| url | http://hdl.handle.net/20.500.11937/8328 |