Modelling land use change by an integrated Cellular Automata and Markov Chain Model (case study; Azadshahr County)
In this research, land-use changes in Azadshahr County were investigated from 1998 to 2009, using the imageries from Landsat 5 satellite and an integration of the Markov chain and Cellular Automata methods. Using the object-based support-vector-machine image classification method, land-use maps were...
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| Format: | Article |
| Language: | English |
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Gorgan University of Agricultural Sciences and Natural Resources
2023-07-01
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| Series: | Environmental Resources Research |
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| Online Access: | https://ijerr.gau.ac.ir/article_6555_2ce714f2aa4045abaa1d97dc5b1354c4.pdf |
| _version_ | 1797311418858471424 |
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| author | Chooghi Bairam Komaki Hamidreza Asgari Habib Nazarnejad Mohammad Alinezhad |
| author_facet | Chooghi Bairam Komaki Hamidreza Asgari Habib Nazarnejad Mohammad Alinezhad |
| author_sort | Chooghi Bairam Komaki |
| collection | DOAJ |
| description | In this research, land-use changes in Azadshahr County were investigated from 1998 to 2009, using the imageries from Landsat 5 satellite and an integration of the Markov chain and Cellular Automata methods. Using the object-based support-vector-machine image classification method, land-use maps were classified into three major categories, namely agriculture fields, forest lands and built-up areas for the years of 1987, 1998 and 2009; their overall accuracies have been obtained 91.0%(1987), 91.0% (1998) and 88.8% (2009), with the respective Kappa values of 86.5%(1987), 86.5% (1998) and 83.2%(2009). The built-up areas had the greatest changes by increasing 2.02% and 2.17% for the periods of 1987-1998 (as first period) and 1998-2009 (as second period), respectively. During the first period, forest area has shrunk by approximately -1.80%. However, as a result of the afforestation project during 1998-2009, forest area has increased 1.59%, while over the 22-year period the total area of forest has merely reduced by -0.21%. Agricultural areas on the one hand has shrunk in favor of the built-up areas, and on the other hand, increased by the conversion of the forest lands, making a total reduction of -0.22 and -3.75% for the first and second periods, respectively. The land-use pattern of 2020 was simulated using the MULOSCE extension of the QGIS software based on the integrated cellular automata and Markov chain technique. It is expected for this period to encounter a 0.62% increase in built-up areas, with 0.48% and 0.15% reduction in agriculture fields and forest lands, respectively. |
| first_indexed | 2024-03-08T01:58:22Z |
| format | Article |
| id | doaj.art-f0fa0008a83e417b85ad08188f547507 |
| institution | Directory Open Access Journal |
| issn | 2783-4832 2783-4670 |
| language | English |
| last_indexed | 2024-03-08T01:58:22Z |
| publishDate | 2023-07-01 |
| publisher | Gorgan University of Agricultural Sciences and Natural Resources |
| record_format | Article |
| series | Environmental Resources Research |
| spelling | doaj.art-f0fa0008a83e417b85ad08188f5475072024-02-14T08:34:01ZengGorgan University of Agricultural Sciences and Natural ResourcesEnvironmental Resources Research2783-48322783-46702023-07-011119710610.22069/ijerr.2023.13458.12186555Modelling land use change by an integrated Cellular Automata and Markov Chain Model (case study; Azadshahr County)Chooghi Bairam Komaki0Hamidreza Asgari1Habib Nazarnejad2Mohammad Alinezhad3Scientific Member, Department of Arid Zone Management, Faculty of Rangeland and Watershed Management. Gorgan University of Agricultural Sciences and Natural Resources (GUASNR)Associate Professor, Department of Arid Zone Management, Faculty of Rangeland and Watershed Management, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, IranAssociate Professor, Department of Arid Zone Management, Faculty of Rangeland and Watershed Management, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, IranPh.D student, Department of Arid Zone Management, Faculty of Rangeland and Watershed Management, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, IranIn this research, land-use changes in Azadshahr County were investigated from 1998 to 2009, using the imageries from Landsat 5 satellite and an integration of the Markov chain and Cellular Automata methods. Using the object-based support-vector-machine image classification method, land-use maps were classified into three major categories, namely agriculture fields, forest lands and built-up areas for the years of 1987, 1998 and 2009; their overall accuracies have been obtained 91.0%(1987), 91.0% (1998) and 88.8% (2009), with the respective Kappa values of 86.5%(1987), 86.5% (1998) and 83.2%(2009). The built-up areas had the greatest changes by increasing 2.02% and 2.17% for the periods of 1987-1998 (as first period) and 1998-2009 (as second period), respectively. During the first period, forest area has shrunk by approximately -1.80%. However, as a result of the afforestation project during 1998-2009, forest area has increased 1.59%, while over the 22-year period the total area of forest has merely reduced by -0.21%. Agricultural areas on the one hand has shrunk in favor of the built-up areas, and on the other hand, increased by the conversion of the forest lands, making a total reduction of -0.22 and -3.75% for the first and second periods, respectively. The land-use pattern of 2020 was simulated using the MULOSCE extension of the QGIS software based on the integrated cellular automata and Markov chain technique. It is expected for this period to encounter a 0.62% increase in built-up areas, with 0.48% and 0.15% reduction in agriculture fields and forest lands, respectively.https://ijerr.gau.ac.ir/article_6555_2ce714f2aa4045abaa1d97dc5b1354c4.pdflandsatobject-oriented classificationsupport-vector machinemarkov chainazadshahr |
| spellingShingle | Chooghi Bairam Komaki Hamidreza Asgari Habib Nazarnejad Mohammad Alinezhad Modelling land use change by an integrated Cellular Automata and Markov Chain Model (case study; Azadshahr County) Environmental Resources Research landsat object-oriented classification support-vector machine markov chain azadshahr |
| title | Modelling land use change by an integrated Cellular Automata and Markov Chain Model (case study; Azadshahr County) |
| title_full | Modelling land use change by an integrated Cellular Automata and Markov Chain Model (case study; Azadshahr County) |
| title_fullStr | Modelling land use change by an integrated Cellular Automata and Markov Chain Model (case study; Azadshahr County) |
| title_full_unstemmed | Modelling land use change by an integrated Cellular Automata and Markov Chain Model (case study; Azadshahr County) |
| title_short | Modelling land use change by an integrated Cellular Automata and Markov Chain Model (case study; Azadshahr County) |
| title_sort | modelling land use change by an integrated cellular automata and markov chain model case study azadshahr county |
| topic | landsat object-oriented classification support-vector machine markov chain azadshahr |
| url | https://ijerr.gau.ac.ir/article_6555_2ce714f2aa4045abaa1d97dc5b1354c4.pdf |
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