Monitoring land-use changes and predicting their spatio-temporal trends in Hamedan City
Introduction: Land use change is spreading in developing countries and has negative environmental-ecological consequences. Therefore, access to up-to-date information on land-use change is necessary to analyze the needs of human settlements and adopt appropriate policies that are essential to ensure...
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Shahid Beheshti University
2021-12-01
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| Series: | علوم محیطی |
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| author | Naser Shafiei Sabet Faranak Feyzbabaei cheshmeh sefidi |
| author_facet | Naser Shafiei Sabet Faranak Feyzbabaei cheshmeh sefidi |
| author_sort | Naser Shafiei Sabet |
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| description | Introduction: Land use change is spreading in developing countries and has negative environmental-ecological consequences. Therefore, access to up-to-date information on land-use change is necessary to analyze the needs of human settlements and adopt appropriate policies that are essential to ensure the future. The study of past, present, and future land use has a fundamental role in the decisions and policies of land-use planners. This study aimed to study land use and its changes during 1993, 2004, and 2019. The CA-MARKOV model also identifies how land-use changes in Hamedan and simulates and predicts land use and its changes in 2050.Material and methods: In this study, after obtaining satellite images of TM, ETM, and OLI sensors, preprocessing steps including various radiometric and geometric corrections were performed on the images.Then, the classification of satellite images was done using Google Earth software and the vector support algorithm. Based on this, the land uses of the region were divided into four classes: residential and non-residential use, barren lands and poor rangeland, garden lands and irrigated agriculture, and mountainous and rangeland. After land use detection and its changes, the trend of these changes was predicted in 2050 using the automatic cell model and Markov chain due to its high ability to detect spatial-spatial component changes.Results and discussion: Results indicated that the growth and development of urbanization in this metropolis have led to the city's expansion in this area. So that residential and non-residential land use increased from 0.8% of the total area in 1993 to 2.1% in 2019. The study of land-use changes showed that from 1993 to 2004, 0.2% was added to the rate of residential and non-residential land uses. The next largest increase in land use was in the very poor barren lands and rangeland, which reached 49.8% in 2004. Horticultural and irrigated agriculture land use and mountainous land use decreased by 1.2 and 1.5%, respectively, in 2004 compared to 1993. The land-use area of residential and non-residential construction and barren lands have continued to increase in 2019. The area of these land uses increased by 1.1 and 2.4 %, respectively. Finally, it can be said that from 1993 to 2019, horticultural, agricultural, mountainous, and rangeland uses have been transformed into residential and non-residential construction uses and barren lands. This land conversion has negative consequences for the region's future.Conclusion: In this study, it was found that the automatic cell model and Markov chain have a high ability to predict future land-use changes. Also, the largest increase in land use was related to residential and non-residential construction and barren lands, and other land uses such as garden lands and irrigated and mountainous agriculture. Rangeland experienced a decrease in area in the region. Therefore, planners should consider this extensive urban growth and development to carry out their plans more efficiently. |
| format | Article |
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| spelling | doaj-art-c0f558e7a38644c6a9f5dc2743ae3a312025-08-20T02:30:46ZfasShahid Beheshti Universityعلوم محیطی1735-13242588-61772021-12-0119414516410.52547/envs.2021.36712101397Monitoring land-use changes and predicting their spatio-temporal trends in Hamedan CityNaser Shafiei Sabet0Faranak Feyzbabaei cheshmeh sefidi1Department of Geography and Spatial Planning, Faculty of Earth Sciences, Shahid Beheshti University, Tehran, IranDepartment of Geography and Spatial Planning, Faculty of Earth Sciences, Shahid Beheshti University, Tehran, IranIntroduction: Land use change is spreading in developing countries and has negative environmental-ecological consequences. Therefore, access to up-to-date information on land-use change is necessary to analyze the needs of human settlements and adopt appropriate policies that are essential to ensure the future. The study of past, present, and future land use has a fundamental role in the decisions and policies of land-use planners. This study aimed to study land use and its changes during 1993, 2004, and 2019. The CA-MARKOV model also identifies how land-use changes in Hamedan and simulates and predicts land use and its changes in 2050.Material and methods: In this study, after obtaining satellite images of TM, ETM, and OLI sensors, preprocessing steps including various radiometric and geometric corrections were performed on the images.Then, the classification of satellite images was done using Google Earth software and the vector support algorithm. Based on this, the land uses of the region were divided into four classes: residential and non-residential use, barren lands and poor rangeland, garden lands and irrigated agriculture, and mountainous and rangeland. After land use detection and its changes, the trend of these changes was predicted in 2050 using the automatic cell model and Markov chain due to its high ability to detect spatial-spatial component changes.Results and discussion: Results indicated that the growth and development of urbanization in this metropolis have led to the city's expansion in this area. So that residential and non-residential land use increased from 0.8% of the total area in 1993 to 2.1% in 2019. The study of land-use changes showed that from 1993 to 2004, 0.2% was added to the rate of residential and non-residential land uses. The next largest increase in land use was in the very poor barren lands and rangeland, which reached 49.8% in 2004. Horticultural and irrigated agriculture land use and mountainous land use decreased by 1.2 and 1.5%, respectively, in 2004 compared to 1993. The land-use area of residential and non-residential construction and barren lands have continued to increase in 2019. The area of these land uses increased by 1.1 and 2.4 %, respectively. Finally, it can be said that from 1993 to 2019, horticultural, agricultural, mountainous, and rangeland uses have been transformed into residential and non-residential construction uses and barren lands. This land conversion has negative consequences for the region's future.Conclusion: In this study, it was found that the automatic cell model and Markov chain have a high ability to predict future land-use changes. Also, the largest increase in land use was related to residential and non-residential construction and barren lands, and other land uses such as garden lands and irrigated and mountainous agriculture. Rangeland experienced a decrease in area in the region. Therefore, planners should consider this extensive urban growth and development to carry out their plans more efficiently.https://envs.sbu.ac.ir/article_101397_e16ab4d313d01aaea169376ae3242a88.pdfautomated cell modelmarkov chain modelland-use classimage classificationchange detection |
| spellingShingle | Naser Shafiei Sabet Faranak Feyzbabaei cheshmeh sefidi Monitoring land-use changes and predicting their spatio-temporal trends in Hamedan City علوم محیطی automated cell model markov chain model land-use class image classification change detection |
| title | Monitoring land-use changes and predicting their spatio-temporal trends in Hamedan City |
| title_full | Monitoring land-use changes and predicting their spatio-temporal trends in Hamedan City |
| title_fullStr | Monitoring land-use changes and predicting their spatio-temporal trends in Hamedan City |
| title_full_unstemmed | Monitoring land-use changes and predicting their spatio-temporal trends in Hamedan City |
| title_short | Monitoring land-use changes and predicting their spatio-temporal trends in Hamedan City |
| title_sort | monitoring land use changes and predicting their spatio temporal trends in hamedan city |
| topic | automated cell model markov chain model land-use class image classification change detection |
| url | https://envs.sbu.ac.ir/article_101397_e16ab4d313d01aaea169376ae3242a88.pdf |
| work_keys_str_mv | AT nasershafieisabet monitoringlandusechangesandpredictingtheirspatiotemporaltrendsinhamedancity AT faranakfeyzbabaeicheshmehsefidi monitoringlandusechangesandpredictingtheirspatiotemporaltrendsinhamedancity |