Urban development modeling using remote sensing techniques (Study area: District 22 of Tehran Municipality)
محورهای موضوعی : فصلنامه علمی پژوهشی سنجش از دور راداری و نوری و سیستم اطلاعات جغرافیایی
Seyed Aghil Ebrahimi
1
(PhD student, Geography and Urban Planning, Islamic Azad University, Science and Research Unit, Tehran)
seyede Razieh Keshavarz
2
(Ph.D. student, Geography and Urban Planning, expert on foreign nationals and immigrants, Shiraz, Fars Governorate)
Jalal Bayati Eshkaftaki
3
(Master in Remote Sensing Geographic Information System)
کلید واژه: Landsat, Urban Development, District 22 of Tehran Municipality,
چکیده مقاله :
One of the processes that can examine the changes of the city for a period of several years and as a result predict the directions of urban growth and development in order to implement appropriate planning is urban development modeling. Therefore, urban designers and planners need spatial and temporal information related to urban growth patterns obtained through modeling. To discover and evaluate changes and urban development, multi-time remote sensing data can play an essential role due to the cheapness and speed of obtaining data from it, and geographic information system due to its analytical capabilities. It is necessary to pay attention to the fact that the size of the studied area as well as the required spatial resolution is important in choosing the type of satellite. The purpose of this research is to investigate the urban development situation in the 22nd district of Tehran, which has not been researched in this field using satellite data. In this research, we have analyzed the data of Landsat satellite in 2003 and Landsat 2018 in a period of 16 years. The studied area is the 22nd district of Tehran Municipality and due to the expansion of urbanization in this area, the relevant results showed that the development of urbanization in the 22nd district is increasing significantly and this trend is increasing towards the west of Tehran. In these 16 years, there has been the biggest change in the land use of barren land, which has become an urban area.
One of the processes that can examine the changes of the city for a period of several years and as a result predict the directions of urban growth and development in order to implement appropriate planning is urban development modeling. Therefore, urban designers and planners need spatial and temporal information related to urban growth patterns obtained through modeling. To discover and evaluate changes and urban development, multi-time remote sensing data can play an essential role due to the cheapness and speed of obtaining data from it, and geographic information system due to its analytical capabilities. It is necessary to pay attention to the fact that the size of the studied area as well as the required spatial resolution is important in choosing the type of satellite. The purpose of this research is to investigate the urban development situation in the 22nd district of Tehran, which has not been researched in this field using satellite data. In this research, we have analyzed the data of Landsat satellite in 2003 and Landsat 2018 in a period of 16 years. The studied area is the 22nd district of Tehran Municipality and due to the expansion of urbanization in this area, the relevant results showed that the development of urbanization in the 22nd district is increasing significantly and this trend is increasing towards the west of Tehran. In these 16 years, there has been the biggest change in the land use of barren land, which has become an urban area.
Akbari, Elahe, et al., (2013), Processing and extracting information from satellite data using ENVI software, second edition, Satellite Publications
Organi, Maysam, et al. (2018), Sub-pixel detection of changes in urban areas using spectral composition analysis, Geomatics Conference,
Aliani, Hamideh, and co-workers, (2019), Investigating land use changes and the effect of physiographic factors on the distribution of changes using geographic information system measurement, Journal of Renewable Natural Resources Research, Year 2, Number 3.
Heydari Muzaffar Morteza, Saleh Juneqani ,Ehsan. (1400). Modeling the growth and development of Isfahan city using remote sensing data in the LCM model. Scientific Research Journal of Mapping Sciences and Techniques.; 10 (4): 190-179
Safianian, A., Yaghmayi, L., Falahtkar, S., (2018), a survey of the growth trend of Isfahan city during the past 5 decades.
Shia, 1375, an introduction to urban planning.
Ghanbari, Abolfazl, Karimzadeh, Sadra. Taraneh, Seddighe. (1401). Investigating the quality of urban life using remote sensing and GIS - case study: Zones 1 and 2 of Zahedan city. Geographic Information Scientific-Research Quarterly " Sepehr 31(121), 93-110
Anabestani, Ali Akbar, Anabestani, Zahra. Akbari, Ibrahim. (1400). Analyzing the structural changes of the landscape and urban development patterns using multi-temporal satellite images - case study: Mashhad metropolis. Scientific-Research Quarterly of Geographical Information " Sepehr 30(119), 189-206
Mohammad Ismail, Zahra, (1389), monitoring land use changes in Karaj using remote sensing technique, soil research magazine, volume 24, number (1).
Mouhed, A., Taghizadeh, A., 2018, Investigation of the development directions of the marginal areas of Ahvaz city using RS and GIS, Human Geography Research Publication, No. 70, 2018.
Moghli, Marzieh, Shahsavar, Mohsen, & Khabazi, Mostafa. (1401). Monitoring and modeling changes in the pattern of urban development using satellite images and artificial neural network model (case study of part one of Rafsanjan city). Urban Social Geography, 9(2), 171-194.
Akpoti, K., Antwi, E. O., & Kabo-Bah, A.[9] T. (2016). Impacts of rainfall variability, land use and land cover change on stream flow of the black Volta Basin, West Africa. Hydrology, 3(3), 26.
Bewket, W. (2002). Land cover dynamics since the 1950s in Chemoga watershed, Blue Nile basin, Ethiopia. Mountain Research and Development , 22(3), 263–269.
Das, S., & Angadi, D. P. (2022). Land use land cover change detection and monitoring of urban growth using remote sensing and GIS techniques: a micro-level study. GeoJournal, 87(3), 2101-2123.
Petropoulos GP, Griffiths HM, Kalivas DP [11] (2014) Quantifying spatial and temporal vegetation recovery dynamics following a wildfire event in a Mediterranean landscape using EO data and GIS. Appl Geogr 50:120–131
Sobrino JA, Jiménez-Muñoz JC (2014) Minimum configuration of thermal infrared bands for land surface temperature and emissivity estimation in the context of potential future missions. Remote Sens Environ 148:158–167
Ward, D., Phinn, S. R. , & Murray, A T. (2000). Monitoring growth in rapidly urbanizing areas using remotely sensed data. The Professional Geographer, 52(3), 371–386.
Yalew, S. G., Mul, M. L., Van Griensven, A., Teferi, E., Priess, J., Schweitzer, C., & Van Der Zaag, P. (2016). Land-use change modelling in the Upper Blue Nile Basin. Environments , 3(4), 21
Zhou D, Bousquet O, Lal TN, Weston J, Schoellkopf B (2004) Learning with local and global consistency. In: Advances in neural information processing systems, pp 321–328
Wang, S. W., Gebru, B. M., Lamchin, M., Kayastha, R. B., & Lee, W. K. (2020). Land use and land cover change detection and prediction in the Kathmandu district of Nepal using remote sensing and GIS. Sustainability, 12(9), 3925.
