Application of a hybrid cellular automaton-markov model in land use change detection and prediction in flood-prone area, Johor, Malaysia
Changes in land use can significantly impact natural resource sustainability, socioeconomic activities, and flood risks. Cellular Automata-Markov model (CA-Markov) is utilized in this study to predict land use changes by modeling the spatial dynamics and transitions of land use categories over time...
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| Format: | Article |
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Malaysian Institute of Planner
2023
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| _version_ | 1817927395277012992 |
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| author | Mohamad, Suzani Ash’aari, Zulfa Hanan Ramli, Mohammad Firuz Abdullah, Ramdzani Mohamed Rehan, Balqis |
| author_facet | Mohamad, Suzani Ash’aari, Zulfa Hanan Ramli, Mohammad Firuz Abdullah, Ramdzani Mohamed Rehan, Balqis |
| author_sort | Mohamad, Suzani |
| collection | UPM |
| description | Changes in land use can significantly impact natural resource sustainability, socioeconomic activities, and flood risks. Cellular Automata-Markov model (CA-Markov) is utilized in this study to predict land use changes by modeling the spatial dynamics and transitions of land use categories over time in one of the flood-prone area in Segamat district, Johor. Satellite images obtained from Landsat 5 Thematic Mapper and Satellite Pour IObservation de la Terre (SPOT) 5, 6, and 7 for years 2006, 2011, and 2016 were utilized to assess the magnitude of the land use change via unsupervised and supervised classification. Additionally, ancillary data such as residential, road, water bodies, and slopes were used as input to forecast future land use. The findings revealed that between 2006 to 2026, there was an increase in built-up areas and mixed agriculture up to 26. The expansion of built-up areas and mixed agricultures involves the removal of forests, further exacerbating flood risks. This fundamental research can provide valuable insights for effective land management and urban planning. |
| first_indexed | 2024-12-09T02:17:45Z |
| format | Article |
| id | upm.eprints-106637 |
| institution | Universiti Putra Malaysia |
| last_indexed | 2024-12-09T02:17:45Z |
| publishDate | 2023 |
| publisher | Malaysian Institute of Planner |
| record_format | dspace |
| spelling | upm.eprints-1066372024-09-26T07:36:07Z http://psasir.upm.edu.my/id/eprint/106637/ Application of a hybrid cellular automaton-markov model in land use change detection and prediction in flood-prone area, Johor, Malaysia Mohamad, Suzani Ash’aari, Zulfa Hanan Ramli, Mohammad Firuz Abdullah, Ramdzani Mohamed Rehan, Balqis Changes in land use can significantly impact natural resource sustainability, socioeconomic activities, and flood risks. Cellular Automata-Markov model (CA-Markov) is utilized in this study to predict land use changes by modeling the spatial dynamics and transitions of land use categories over time in one of the flood-prone area in Segamat district, Johor. Satellite images obtained from Landsat 5 Thematic Mapper and Satellite Pour IObservation de la Terre (SPOT) 5, 6, and 7 for years 2006, 2011, and 2016 were utilized to assess the magnitude of the land use change via unsupervised and supervised classification. Additionally, ancillary data such as residential, road, water bodies, and slopes were used as input to forecast future land use. The findings revealed that between 2006 to 2026, there was an increase in built-up areas and mixed agriculture up to 26. The expansion of built-up areas and mixed agricultures involves the removal of forests, further exacerbating flood risks. This fundamental research can provide valuable insights for effective land management and urban planning. Malaysian Institute of Planner 2023-11-05 Article PeerReviewed Mohamad, Suzani and Ash’aari, Zulfa Hanan and Ramli, Mohammad Firuz and Abdullah, Ramdzani and Mohamed Rehan, Balqis (2023) Application of a hybrid cellular automaton-markov model in land use change detection and prediction in flood-prone area, Johor, Malaysia. Planning Malaysia, 21 (6). 170 - 184. ISSN 1675-6215 https://planningmalaysia.org/index.php/pmj/article/view/1394 10.21837/pm.v21i30.1394 |
| spellingShingle | Mohamad, Suzani Ash’aari, Zulfa Hanan Ramli, Mohammad Firuz Abdullah, Ramdzani Mohamed Rehan, Balqis Application of a hybrid cellular automaton-markov model in land use change detection and prediction in flood-prone area, Johor, Malaysia |
| title | Application of a hybrid cellular automaton-markov model in land use change detection and prediction in flood-prone area, Johor, Malaysia |
| title_full | Application of a hybrid cellular automaton-markov model in land use change detection and prediction in flood-prone area, Johor, Malaysia |
| title_fullStr | Application of a hybrid cellular automaton-markov model in land use change detection and prediction in flood-prone area, Johor, Malaysia |
| title_full_unstemmed | Application of a hybrid cellular automaton-markov model in land use change detection and prediction in flood-prone area, Johor, Malaysia |
| title_short | Application of a hybrid cellular automaton-markov model in land use change detection and prediction in flood-prone area, Johor, Malaysia |
| title_sort | application of a hybrid cellular automaton markov model in land use change detection and prediction in flood prone area johor malaysia |
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