نوع مقاله : مقاله علمی پژوهشی
نویسندگان
1 دانشیار گروه جغرافیا و برنامه ریزی شهری و روستایی، دانشگاه محقق اردبیلی، دانشکده علوم اجتماعی،گروه جغرافیا ،اردبیل، ایران
2 استاد و عضو هیأت علمی گروه جغرافیا و برنامه ریزی روستایی دانشکده برنامه ریزی و علوم محیطی دانشگاه تبریز
3 گروه جغرافیا وبرنامه ریزی شهری و روستایی، دانشکده علم اجتماعی، دانشگاه محقق اردبیلی، اردبیل، ایران
کلیدواژهها
عنوان مقاله English
نویسندگان English
Abstract Background and Aim Land use change modeling is an essential tool for environmental analysis, planning, and management. Among the basic objectives of this research is to investigate and understand the changes in land uses in Region 7 of Tabriz between 2000 and 2020 using remote sensing technology and satellite images. And also to predict these changes for the next 20 years. To predict the changes, the Markov chain cell model was used for prediction. Among other objectives, it can be mentioned to find out the use that has and will have the most changes and increases.
Methodology: Land use change modeling is an essential tool for environmental analysis, planning, and management. The main objective of this research is to investigate and evaluate land use changes in Tabriz city over a 20-year period (from 2000 to 2020). This goal is achieved by extracting land use maps for the years 2000 and 2020 through satellite images and obtaining the changes that have occurred in land use during this period, and finally predicting these changes using a Markov model.
Results and Findings: The results indicated that although the region has a large area of barren land, the residential area has grown significantly between 2000 and 2020 and will continue to grow in the future. This indicates a positive and increasing trend in urban and residential areas that should be taken into account. Between 2000 and 2020, we have witnessed a sharp decrease in green space, which can be a warning for managers and decision-makers. Urban green space is an important land use within the city and on the outskirts of the city, and its absence causes environmental problems and .... Also, residential land use will have the most changes at the regional level for the next 20 years, and it was proven that the maximum likelihood classification model has appropriate accuracy for classifying satellite data.
Conclusion: The overall results showed that although the region has a large area of barren land, the residential area has grown significantly between 2000 and 2020 and will continue to grow in the future, indicating a positive and increasing trend in urban and residential areas that should be taken into account. Between 2000 and 2020, we have witnessed a sharp decline in green space, which can be a warning for managers and decision-makers. Urban green space is an important use within the city and on the outskirts of the city, and its absence causes environmental problems and .... Industrial areas have also enjoyed significant growth in the past 20 years, and the growth of this use and its positive and increasing
کلیدواژهها English