Document Type : Research Paper

Authors

1 Civil Engineering Department, University of Technology, Baghdad, Iraq,

2 Civil Engineering Department, University of Technology, Baghdad, Iraq.

Abstract

Urban growth driven by uncontrolled expansion is one of the greatest problems that reduces the fertile lands in Karbala Governorate, Iraq. This phenomenon is the cause for variety of urban environmental problems such as an increase in local temperature, cost of land, and loss of agricultural produce. Multiple images of different time periods were used, passing them through a series of image processing steps according to the methodology of work to achieve the aims of the paper by calculating land cover changes for Karbala City from 1992 to 2013. The aim of this research is to take the temporal and subtle changes in urbanization and land cover primarily to take into account a superior perception of the connection and activities between urban growth and urban environmental problems. To take action and greater control of land surface features, the data from Landsat 4 (MSS) 1992, Landsat 7 Thematic Mapper (ETM) 2003, and Landsat 8 Operational Land Imager (OLI) 2013 were used to deliver the research's aim.

Keywords

[1] A.A. Belal , F.S. Moghanm ," Detecting urban growth using remote sensing and GIS techniques in Al Gharbiya governorate, Egypt", The Egyptian Journal of Remote Sensing and Space Sciences, pp. 73–79, September2011.
[2] J. Mohammed," Land use and cover change assessment using Remote Sensing and GIS: Dohuk City, Kurdistan, Iraq (1998-2011)", International Journal Of Geomatics and Geosciences, Vol. 3, No 3,pp.552-569, March2013 .
[3] I. R. Hegazy, M. R. Kaloop,”Monitoring urban growth and land use change detection with GIS and remote sensing techniques in Daqahlia governorate Egypt”, International Journal of Sustainable Built Environment, pp.117-174,february 2015.
[4] D. Lu , P. Mausel, E. Brondizio & E. Moran, "Change detection techniques", International Journal of Remote Sensing, Vol. 25,No.12, pp. 2365-2407,2004.
[5] D. L. Verbyla , and, S. H. Boles, "Bias in land cover change estimates due to misregistration", International Journal of Remote Sensing, Vol.21, pp. 3553–3560 , 2010.
[6] J. R. G.Townshend , C. O .Justice, C .Gurney, and J. Mcmanus, " the effect of image misregistration on the detection of vegetation change". IEEE Transactions on Geoscience and Remote Sensing, Vol.30, No. 5,pp. 1054–1060, 1992.
[7] D. A. Stow , "Reducing the effects of misregistration on pixel-level change detection", International Journal of Remote Sensing , Vol. 20, pp.2477–2483, 1999.
[8] COPPIN, P. R. Coppin, and M. E.Bauer ," Digital change detection in forest ecosystems with remote sensing imagery", Remote Sensing Reviews,Vol.13,No.3, pp.207-234,2009.
[9] O. Jasim, N. Hamed, and T. Abdulgabar,"Change detection and building spatial geodatabase for Iraqi marshes", MATEC Web of Conferences 162, 03021, 2018.
[10] H. R. Mohammed , N. H. Hamed , M. M. Al Bayati ,"Building of a Spatial Database to Identify Areas of Contamination by Mines and Hazardous Remnants of War by Using GIS (Analytical Study / Basra Governorate)", Anbar Journal Of Engineering Science© journal homepage: http://www.uoanbar.edu.iq/Evaluate.
[11] J. Im, J. R. Jensen & M. E. Hodgson," Optimizing the binary discriminant function in change detection applications" ,Remote Sensing of Environment, Vol. 112, No. 6, pp.2761-2776, 2008.
[12] E. Symeonakis , S. Koukoulas , A. Calvo-Cases, and I. Makris , " A land-use change and land degradation study in Spain and Greece using Remote Sensing and GIS", Conference: XXth International Society for Photogrammetry and Remote Sensing Congress At: Istanbul, Turkey,2004.
[13] A. Asgarian , B. J. Amiri , and Y. Sakieh," Assessing the effect of green cover spatial patterns on urban land surface temperature using landscape metrics approach", Urban Ecosystems,Vol.18,No. 1,pp.209-222,june 2015.
[14] P.M. Teillet, J.L. Barker, B.L. Markham, R.R. Irish, G. Fedosejevs, and J.C. Storey ,"Radiometric cross-calibration of the Landsat-7 ETM and Landsat-5 TM sensers based on tandem data sets", Remotly sensing EnvironmentVol. 78, No.1, pp39-54,2001.