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  DOI Prefix   10.20431


 

International Journal of Constructive Research in Civil Engineering
Volume 4, Issue 1, 2018, Page No: 23-38
doi:dx.doi.org/10.20431/2454-8693.0401003

Change Detection of Urban Land Use and Urban Expansion Using GIS and RS, Case Study: Zanjan Province, Iran

Mojtaba Pirnazar1,Kaveh Ostad-Ali-Askari2,Saeid Eslamian3,Vijay P.Singh4,Nicolas R.Dalezios5,Mohsen Ghane6,Zahra Qasemi7

1.Department of Remote Sensing, Tabriz University, Tabriz, Iran.
2.Department of Civil Engineering, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran.
3.Department of Water Engineering, Isfahan University of Technology, Isfahan, Iran.
4.Department of Biological and Agricultural Engineering &Zachry Department of Civil Engineering, Texas A and M University, 321 Scoates Hall, 2117 TAMU, College Station, Texas 77843-2117, U.S.A.
5.Laboratory of Hydrology, Department of Civil Engineering, University of Thessaly, Volos, Greece & Department of Natural Resources Development and Agricultural Engineering, Agricultural University of Athens, Athens, Greece.
6.Civil Engineering Department, South Tehran Branch, Islamic Azad University, Tehran, Iran.
7.Department of Remote Sensing, Yazd Branch, Islamic Azad University, Iran.

Citation : Mojtaba Pirnazar,et.al, Change Detection of Urban Land Use and Urban Expansion Using GIS and RS, Case Study: Zanjan Province, Iran International Journal of Constructive Research in Civil Engineering 2018, 4(1) : 23-38

Abstract

Accurate data and timely information regarding the existing land-uses is needed to manage the natural landscapes effectively. The information related to land-use changes constitutes the basic element in management of natural resources. In fact, the awareness about patterns of land-use changes is conductive of ecosystem toward balance. Therefore, the need to detect, plan and predict such changes in an ecosystem is of great importance. In order to discover these changes, the application of multi-temporal remote sensing data (RS) and geographical information system (GIS) provides the possibility of valuable analysis. In this paper, two images, i.e. ETM+ 2002 and OLI 2015 were used for Zanjan city. To map the pattern of changes, at first the coordinates of two images were integrated, andafter the atmospheric corrections, the considered area was classified to four classes including residential areas, road network, vegetation and other regions using the maximum likelihood method. Then,Post classification and overlapping methods were used to detect changes. The results show that the urban expansion has increased during 13 years. The expansion of Zanjan City has been inclined more toward north and north - west affecting the barren lands, while the garden lands in the south has been less influenced by urban expansion.


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