Predicting Blue-Green-Grey Space Changes in Chittagong City Corporation Area Based On CA-Markov Model
Using remote sensing and a Geographic Information System (GIS), this study examines the land use change in the Chittagong city corporation region from 2000 to 2020. It then uses a Cellular Automata Markov model to forecast the likelihood of future land use patterns for 2030.In this study, land use c...
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| Format: | Online |
| Sprog: | engelsk |
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Jahangirnagar University
2025
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| Online adgang: | http://journals.juniv.edu/index.php/tjr/article/view/200 |
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| _version_ | 1873958284047679488 |
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| author | Shamsunnaher Saika, Ummeh |
| author_facet | Shamsunnaher Saika, Ummeh |
| author_sort | Shamsunnaher |
| collection | OJS |
| description | Using remote sensing and a Geographic Information System (GIS), this study examines the land use change in the Chittagong city corporation region from 2000 to 2020. It then uses a Cellular Automata Markov model to forecast the likelihood of future land use patterns for 2030.In this study, land use classification is defined as follows: Blue represents water bodies, Green indicates vegetation cover, and Grey signifies built-up areas and there is another category the other open spaces, those are classified using the maximum likelihood supervised classification. Three sets of multi-temporal Landsat images taken in 2000, 2010 and 2020, where one image from the Landsat 8 Operational Land Imager (OLI) and two from the Landsat 5 Thematic Mapper (TM). The analysis revealed that from 2000 to 2020 Built up area and vegetation cover increased respectively 13% and 6% where other open spaces and water body decreases 18% and 1% respectively. |
| format | Online |
| id | ojs-200 |
| institution | My University |
| language | eng |
| publishDate | 2025 |
| publisher | Jahangirnagar University |
| record_format | ojs |
| spelling | ojs-2002025-10-16T03:25:57Z Predicting Blue-Green-Grey Space Changes in Chittagong City Corporation Area Based On CA-Markov Model Shamsunnaher Saika, Ummeh Land use GIS LULC Change detection Change prediction Supervised classification Using remote sensing and a Geographic Information System (GIS), this study examines the land use change in the Chittagong city corporation region from 2000 to 2020. It then uses a Cellular Automata Markov model to forecast the likelihood of future land use patterns for 2030.In this study, land use classification is defined as follows: Blue represents water bodies, Green indicates vegetation cover, and Grey signifies built-up areas and there is another category the other open spaces, those are classified using the maximum likelihood supervised classification. Three sets of multi-temporal Landsat images taken in 2000, 2010 and 2020, where one image from the Landsat 8 Operational Land Imager (OLI) and two from the Landsat 5 Thematic Mapper (TM). The analysis revealed that from 2000 to 2020 Built up area and vegetation cover increased respectively 13% and 6% where other open spaces and water body decreases 18% and 1% respectively. Jahangirnagar University 2025-09-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Conference Proceedings Submission application/pdf http://journals.juniv.edu/index.php/tjr/article/view/200 10.59185/tjr.v49i1.200 The Jahangirnagar Review; Vol. 49 No. 1 (2025); 46-64 1682-7422 10.59185/tjr.v49i1 eng http://journals.juniv.edu/index.php/tjr/article/view/200/143 Copyright (c) 2025 The Jahangirnagar Review |
| spellingShingle | Land use GIS LULC Change detection Change prediction Supervised classification Shamsunnaher Saika, Ummeh Predicting Blue-Green-Grey Space Changes in Chittagong City Corporation Area Based On CA-Markov Model |
| title | Predicting Blue-Green-Grey Space Changes in Chittagong City Corporation Area Based On CA-Markov Model |
| title_full | Predicting Blue-Green-Grey Space Changes in Chittagong City Corporation Area Based On CA-Markov Model |
| title_fullStr | Predicting Blue-Green-Grey Space Changes in Chittagong City Corporation Area Based On CA-Markov Model |
| title_full_unstemmed | Predicting Blue-Green-Grey Space Changes in Chittagong City Corporation Area Based On CA-Markov Model |
| title_short | Predicting Blue-Green-Grey Space Changes in Chittagong City Corporation Area Based On CA-Markov Model |
| title_sort | predicting blue green grey space changes in chittagong city corporation area based on ca markov model |
| topic | Land use GIS LULC Change detection Change prediction Supervised classification |
| topic_facet | Land use GIS LULC Change detection Change prediction Supervised classification |
| url | http://journals.juniv.edu/index.php/tjr/article/view/200 |
| work_keys_str_mv | AT shamsunnaher predictingbluegreengreyspacechangesinchittagongcitycorporationareabasedoncamarkovmodel AT saikaummeh predictingbluegreengreyspacechangesinchittagongcitycorporationareabasedoncamarkovmodel |