ارزیابی کارآمدترین الگوریتم طبقه‌بندی نظارت‌شده در پایش تغییرات رشد شهر تهران
الموضوعات :
آیدا اشجعی
1
(دانشجوی دکترای علوم و مهندسی محیط زیست، دانشکده منابع طبیعی و محیط زیست، دانشگاه آزاد اسلامی واحد علوم و تحقیقات، تهران، ایران.)
سید مسعود منوری
2
(دانشیار، گروه علوم و مهندسی محیط زیست، دانشکده منابع طبیعی و محیط زیست، دانشگاه آزاد اسلامی واحد علوم و تحقیقات، تهران، ایران. *(مسوول مکاتبات))
جلیل ایمانی هرسینی
3
(استادیار، گروه علوم و مهندسی محیط زیست، دانشکده منابع طبیعی و محیط زیست، دانشگاه آزاد اسلامی واحد علوم و تحقیقات، تهران، ایران.)
مریم رباطی
4
(استادیار، گروه علوم و مهندسی محیط زیست، دانشکده منابع طبیعی و محیط زیست، دانشگاه آزاد اسلامی واحد علوم و تحقیقات، تهران، ایران.)
زهرا عزیزی
5
(دانشیار، گروه سنجش از دور و سیستم اطلاعات جغرافیایی، دانشکده منابع طبیعی و محیط زیست، دانشگاه آزاد اسلامی واحد علوم و تحقیقات، تهران، ایران)
تاريخ الإرسال : 15 الثلاثاء , شعبان, 1444
تاريخ التأكيد : 10 الأربعاء , ذو الحجة, 1444
تاريخ الإصدار : 08 السبت , ربيع الأول, 1445
الکلمات المفتاحية:
شبکه عصبی,
مجموعه حفاظتی جاجرود,
تهران,
رشد افقی شهر,
حداکثر شباهت,
ملخص المقالة :
زمینه و هدف: گسترش افقی شهر پدیده ای پویا و پیچیده بوده و مؤثرترین عامل تغییر کاربری- پوشش اراضی همگام با رشد جمعیت و اقتصاد است و تغییرات ناشی از آن، بر پوشش گیاهی و عملکرد اکوسیستم های شهری تأثیر می گذارد. در این پژوهش شناسایی مناسب ترین الگوریتم طبقه بندی برای بررسی اثر رشد افقی شرق شهر تهران در بازه ی زمانی ۱۳۶۵ تا ۱۳۹۵ بر تغییرات کاربری- پوشش اراضی مجموعه حفاظتی جاجرود مورد مطالعه قرار گرفته است.
روش بررسی: در این پژوهش تهیه نقشه تغییرات پوشش- کاربری اراضی با استفاده از روش طبقه بندی نظارت شده و مقایسه ی سه الگوریتم شبکه عصبی، حداقل فاصله و حداکثر شباهت در محیط نرم افزارENVI 5.3.1 انجام شد.
یافته ها: تغییرات کاربری- پوشش اراضی سال های ۱۳۶۵ تا ۱۳۹۵ (بازه زمانی ۳۰ سال) بیانگر افزایش مساحت کاربری- پوشش اراضی شامل مرتع متراکم ۴۵/۵۸%، اراضی بایر۱۹/۹۱%، شهر ۵۷/۶۵%، جنگل ۴۷/۷۴% در سال ۱۳۹۵ نسبت به سال ۱۳۶۵ است.
بحث و نتیجه گیری: با مقایسه و بررسی سه الگوریتم طبقه بندی نظارت شده شامل شبکه عصبی، حداقل فاصله، حداکثر شباهت، روش شبکه عصبی مناسبترین الگوریتم به منظور شناسایی تغییرات کاربری- پوشش اراضی بوده است.
المصادر:
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Meratifar, Mehdi; Kabood vandpour, Shahram; Amanollahi, Jamil. (2022). Evaluating the ability of Ca- Markov model to predict of the land use changes (case study: Bijar protected area). Journal of Geographic Space, 22 (79).
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Biney, Ernest; Boakye, Ebenezer. (2021). Urban sprawl and its impact on land use land cover dynamics of Sekondi- Takoradi metropolitan assembly, Ghana. Environmental Challenges, Volume 4
Shirvani Moghadam, Sousan; Saeedi Mofrad, Sanaz. (2018). Urban sprawl trend analysis using statistical and remote sensing approach case study: Mashhad city. Creative City Design, Volume 1, Number 1.
Wiatkowska, Barbara; Slodczyk, Janusz; Stokowska, Aleksandra. (2021). Spatial- temporal land use and land cover changes in urban areas using remote sensing images and GIS analysis: The case study of Opole, Poland. GeoSciences.
Sayyahnia, Romina; Farkhondeh, Majid; Faryadi, Shahrzad. (2014). the role of remote sensing in land use studies - study area: Tehran metropolis and its boundaries. Journal of Space Science & Technology, Volume 7, Number 3. (In Persian)
Gao, Bi; Huang, Qingxu; He, Chunyang; Sun, Zexiang; Zhang, Da. (2016). How does sprawl differ across cities in China? A multi-scale investigation using nighttime light and census data. Landscape and Urban Planning, Volume 148.
Dadashpoor, Hashem; Salarian, Fardis. (2020). Urban sprawl on natural lands: analyzing and predicting the trend of land use changes and sprawl in Mazandaran city region, Iran. Environment, Development and Sustainability.
Zheng, Qing; Yang, Xuan; Wang, Ke; Huang, Lingyan; Shahtahmassebi, Amir reza; Gan, Muye;Valerie Weston,Melanie. (2017). Delimiting urban growth boundary through combining land suitability evaluation and cellular automata. Sustainability.
Khalaji, Saba. (2021). Effects of land use change on land use planning. Journal of Place and Space Research, Number 3. (In Persian)
Hegazy, Ibrahim; Kaloop, Mosbeh. (2015). Monitoring urban growth and land use change detection with GIS and Remote Sensing techniques in Daqahlia governorate Egypt. International Journal of Sustainable Built Environment, Volume 4.
Arsanjani, Jamal; Helbich, Marco; Vaz, Eric. (2013). Spatiotemporal simulation of urban growth patterns using agent- based modeling: The case Tehran. Cities, Volume 32.
Liu, Yong; Fan, Peilei; yue, Wenze; Song, Yan. (2018). Impacts of land finance on urban sprawl in china: The case of Chongqing. Land use Policy, Volume 72.
Alshalabi, Mohammad; Billa, Lawal; Pradhan, Biswajeet; Mansor, Shattri. (2013). Modelling urban growth evolution and land use changes using GIS based Cellular automata and SLEUTH models: The case of Sana, a metropolitan city, Yemen. Environmental Earth Sciences, Volume 70, Number 1.
Amini, Saeid; Saber, Mohsen; Rabiei Dastjerdi, Hamidreza; Homayouni, Saeid. (2022). Urban land use and land cover change analysis using random forest classification of landsat time series. Remote Sensing, Volume 14, Number 11.
Saeifar, Mohammad Hamed; Mohammadnia, Mousa. (2015). Land use/ land cover change detection in Tehran city using Landsat satellite images. Journal of Applied Environmental and Biological Sciences, 5 (12).
Eskandari, Saeedeh; Jaafari, Mohammadreza; Oliva, Patricia; Ghorbanzadeh, Omid; Blaschke, Thomas. (2020). Mapping land cover and tree canopy cover in Zagros forests of Iran: Application of Sentinel-2, Google earth, and Field data. Remote Sensing, 12 (12).
Meratifar, Mehdi; Kabood vandpour, Shahram; Amanollahi, Jamil. (2022). Evaluating the ability of Ca- Markov model to predict of the land use changes (case study: Bijar protected area). Journal of Geographic Space, 22 (79).
https://earthexplorer.usgs.gov/
Ebadi, Rohallah. (2021). Landscape of Jajrood protected area.
Jaefari, Shirkoo; Alizadeh Shaebani, Afshin; Danekar, Afshin; Nazari Samani, AliAkbar. (2012). Evaluation of residential use changes in protected areas (case study: Jajrud Protected Area). The second national conference on health, environment and sustainable development. (In Persian)
Jaefari,Shirkoo; Alizadeh Shaebani, Afshin; Danekar, Afshin; Nazari Samani, AliAkbar. (2013).
Comparison of two national parks, Khojir and Sorkheh Hesar, in terms of the change in cover-use. Journal of Natural Environment, Volume 4. (In Persian)
Nejadi, Athare; Hashemi, Nasim. (2016). Application of remote sensing data and geographic information system in the extraction of land use maps (case study: Jajroud protected area). The second international conference on landscape ecology. (In Persian)
Ahmadi Nodashan, Mojgan; Saianian, Alireza; Khajehaldin, Jamaleddin. (2010). Preparation of land cover map of Arak city using artificial neural network and maximum likelihood classification methods. Physical Geography Research, Volume 69. (In Persian)
