Monitoring and predicting the trend of changes in residential areas using multi-timed images (Case study: Songhor city)

Document Type : Research Article


1 Assistant Professor, Department of Geography, Faculty of Economics, Management & Social sciences, Shiraz University, Shiraz, Iran

2 Ph.D. Student, Department of Physical Geography, Faculty of Geography, University of Tehran, Tehran, Iran

3 Ph.D. Student, Department of Physical Geography, Faculty of Geography and planning, Tabriz University, Tabriz, Iran

4 M.Sc. Graduated, Department of Physical Geography, Faculty of Geography, University of Tehran, Tehran, Iran


Considering the ever-increasing changes in land uses and the need for managers and experts to know how changes have taken place in policy and options for solving the existing problems. Detection of changes to determine the trend over time seems necessary. On the other hand, modeling future changes is important for understanding the quality of future changes. Therefore, the full recognition of land use, its past changes and the prediction of future changes plays an important role in the sustainable management of resources. Modeling land use processes is an important tool in optimizing land use and land use planning. One of the models used to predict landslide changes is the model of artificial neural networks and Markov chain analysis. The features of the artificial neural network include the ability to learn and generalize and process information in parallel.
Considering the goal of urban development during the years 2000 to 2012, satellite imagery of the years 2000 and 2012 in June has been used. After the preparation of satellite imagery and pre-processing of images, the landuse in the study area for the years 2000 and 2012 has been prepared. Then useing the LCM model landuse change patterns of changes were analyzed. Then, based on the Markov chain model, the potential for changing each use to residential use is measured. This means that each pixel was capable of showing change the image from one land use to another. Then, based on the major changes in the region in the survey, three sub-models of shifting change were identified as transforming pastures into habitat areas, converting agricultural production into settlements, and transforming dryland farming into settlements. After calculating the potential for the transfer of any land use to a settlement using descriptive data, a plan for predicting the use of land for 2025 and 2040 was then provided.
Given that the purpose of the present study was to assess the development of residential areas, the extent of changes in these areas were assessed during the years 2000 to 2012. The results indicate that the residential areas increased from 8.3 square kilometers in 2000 to 12.6 square kilometers in 2012, according to the land use map, and mostly changes in the urban area of Songhor area have been made. The results of the assessment of changes indicate that the land use change from irrigated agricultural to residential use during the 12 year period was 1.9 km2, which for dryland agriculture it was 0.6 kilometers, Also 1.8 km2 of rangelands has become residential. The results of this study indicate that the irrigated agricultural lands of the city of Sangar, especially the southern regions and pastures near the urban area, have had most changes. Among the changes in other uses, about 11.5 km2 of the rangeland has been converted into rainfed farming, and about 12.3 km2 of land has also become rangelands and also, about 4.7 km2 of irrigated agricultural has become arable land or Bayer land and about 1.5 km2 of rangelands has become irrigated agricultural land.
The growing population has led to an increase in the number of habitat areas and, as a result, agricultural lands and pastures have undergone changes. The growing trend of settlement development varies from region to region, and in the urban area of Songhor more are moving toward the southern regions of the urban area. Considering the geomorphologic status of the study area, a large part of the range is covered by rangelands. Irrigated agricultural lands which have a significant share, are located on the outskirts of the city of Songhor, which are undergoing further changes. According to the main objective of the research, based on descriptive data such as distance from communication, distance from urban boundaries, elevation and slope, the amount of development of residential areas for 2025 and 2040 is also projected. The results of the forecast indicate that in the case of the growing trend, the development of the settlements will reach about 18.2 km2 in 2025, and will reach 24.2 km2 in 2040, due to the high potential of the southern regions of the city of Songhor, the highest rate of development of settlements will be towards these areas. The results indicate that the increasing number of settlements in the city of Songhor will lead to the degradation of high-quality agricultural lands and pastures. If the trend is continued, the irrigated agricultural around of the city of Songhor will reach the lowest level by 2040. Also most of the pastures will also be degraded. Hence, it is necessary to identify areas suitable for the development of a settlement before increasing of rate the destruction occur, so that less prone areas for agriculture and pastures can be degraded.


Main Subjects

آرخ، ص.، 1393، پیش‌بینی روند تغییرات مکانی کاربری اراضی با استفاده از مدل LCM در GIS (مطالعه موردی: منطقه سرابله)، دو فصلنامه علمی‌پژوهشی تحقیقات حمایت و حفاظت جنگل‌ها و مراتع ایران، جلد 12، شماره 1، صص 19-1
آقانباتی، س. ع.، 1383، زمین‌شناسی ایران، انتشارات سازمان زمین‌شناسی کشور، 640 صفحه.
جوادیان کوتنایی، س.، ملماسی، س.، اورک، ن. و مرشدی، ج.، 1393، تدوین الگوی ارزیابی توان اکولوژیک توسعه شهری با بهره‌گیری از فرآیند تحلیل شبکه­ای (نمونه موردی، شهرستان سازی)، مجله آمایش سرزمین، شماره 1، 178-153.
حسین­زاده، م. م. و پناهی، ر.، 1393، بررسی محدودیت‌های ژئومورفولوژیک توسعه فیزیکی و مکانیابی جهت­های توسعه آینده شهر سنقر، مجله جغرافیا و توسعه فضای شهری، سال 2، شماره 1، 15-28.
عزیزی قلاتی، س.، رنگزن، ک.، تقی‌زاده، ا. و احمدی، ش.، 1393، مدلسازی تغییرات کاربری اراضی با استفاده از روش رگرسیون لجستیک در مدل LCM (مطالعه موردی: منطقه کوهمره سرخی استان فارس)، فصلنامه علمی - پژوهشی تحقیقات جنگل و صنوبر ایران، شماره 4، 596-585.
محمدی، م.، امیری، م. و دستورانی، ج.، 1394، مدلسازی تغییرات کاربری اراضی شهرستان رامیان در استان گلستان، مجله برنامه­ریزی و آمایش فضا، دوره 19(4)، 141-158.
نعیمی نظام‌آباد، ع.، قهرودی تالی، م. و ثروتی، م. ر.، 1389، پایش تغییرات خط ساحلی و لندفرم­های ژئومرفولوژیکی خلیج فارس با استفاده از تکنیک سنجش از راه دور و سیستم اطلاعات جغرافیایی (مطالعه موردی: منطقه ساحلی عسلویه)، مجله فضای جغرافیایی، سال دهم، شماره 30، 61-45.
نگهبان، س.، رستمی، د. و گنجائیان، ح.، 1395، پایش تغییرات خط ساحلی با استفاده از سنجش از دور (مطالعه موردی: محدوده ساحلی دریای عمان از چابهار تا بندر تنگ)، مجله پژوهش­های کمی، دوره 5 (1)، 27-42.
Ademola, N., Braimoh, K. and Onishi, T., 2007, Spatial determinants of urban land use change in Lagos. Land Use Policy, 24, 502-515.
Batty, M., 2005, Cities and Complexity, Understanding Cities with Cellular Automata, Agent-Based Models and Fractals, the MIT Press, Cambridge Massachusetts.
Eastman, J. R., 2006, IDRISI Andes. Guide to GIS and Image Processing. Clark Labs, Clark University, Worcester, MA.
Gibreel, T. M., Herrmann, S., Berkhoff, K., Nuppenau, E. A. and Rinn, A., 2014 Farm Types as an Interface between an Agro-Economical Model and CLUE-Naban Land Change Model: Application for Scenario Modeling, Ecological Indicators, No. 36, pp. 766– 778.
Gutman, G., Janetos, A. C., Justice, C. O., Moran, E. F., Mustard, J. F., Rindfuss, R. R., and Cochrane, M. A, 2004, Land change science: Observing, monitoring and understanding trajectories of change on the earth’s surface (Vol. 6). Springer Science & Business Media.
Khoi, D. D. and Murayama Y., 2010, Forecasting Areas Vulnerable to Forest Conversion in the Tam Dao National Park Region, Vietnam. Remote Sensing 2 (5), 1249–1272.
Lu, D., Mausel, P., Brondi´zio, E. and Moran, E., 2004, Change detection techniques. International Journal of Remote Sensing, 25(12), 2365–2407.
Luo, G., Yin, C., Chen, X., Xu W. and Lu, L., 2010, Combining System Dynamic Model and CLUE-s Model to Improve Land Use Scenario Analyses at Regional Scale: A Case Study of Sangong Watershed in Xinjiang, China, Ecological Complexity, 7, 198-207.
Mas, J. F., Kolb, M., Paegelow, M. and Camacho Olmedo, M. T., 2014, Inductive pattern-based land use/cover change models: A comparison of four software packages. Environmental Modelling & software. 51, 94-111.
Miao, L., Yuanman, H., Wei, Z., Junjun, Z., Hongwei C. and Fengming, X., 2011, Application of Land-use Change Model in Guiding Regional Planning: A Case Study in Hun-Taizi River Watershed, Northeast China”, China Geographical Sciences, 21(5), 609–618.
Vaclavik, T. and Rogan, J., 2009, Identifying trends in land use / land cover changes in the context of post socialist transformation in Central Europe: A case study of the greater Olomouc region, Czech Republic. GIS science & Remote Sensing, 46 (1), 54-76.
Yang, X. and Li, J., 2013, Advances in mapping from remote sensor imagery: techniques and applications. CRC Press.