The Remote Sensing (R/ S) and Geographical Information System (GIS) play a vital role to evaluate and study the urban expansion pattern. In this study, the Chennai city was selected to perform the urban sprawl study. Five different periods of satellite imageries for the time elapsed between 1994 and 2016 were used. The main aim of this paper was to identify the urban sprawl of Chennai as a patterning process. The extended areas of urban in the period of 1994, 2001, 2006, 2011 and 2016 were extracted by the sub-pixel classification method from the satellite imageries. Furthermore, Shannon’s entropy index was used for assessing urban expansion. The findings of this study proved that Chennai city has sprawled by urban expansion during the period between 1994 and 2016. Likewise, the dispersion rate of urban sprawl for the periods of 1994, 2001, 2006, 2011 and 2016 were 0.671, 0.679, 0.688, 0.693 and 0.695 respectively. Consequently, this uncontrolled dispersed urban development had resulted in the study area losses their green space.
Detroit of India, Geographical Information System (GIS), Shannon’s entropy, Remote Sensing (R/ S), Sub-pixel classification, Urban sprawl
Derya Ozturk. (2017). Assessment of Urban sprawl using Shannon’s Entropy and Fractal Analysis: A Case Study of Atakum, Ilkadim and Canik (Samsum, Turkey), Journal of Environmental Engineering and Landscape Management, 25 (3): 264-276, DOI: 10.3846/16486897.2016.1233881.
Guindon, B., and Zhang, Y., (2009). Automated Urban Delineation from Landsat Imagery Based on Spatial Information Processing, Photogrammetric Engineering and Remote Sensing, 75(7), 845-858.
Jyotishman Deka, Om Prakash Tripathi and Mohamed Latif Khan (2012), Urban growth trend analysis using Shannon Entropy approach – A case study in North-East India, International Journal of Geomatics and Geosciences, 2(4): 1062-1068, DOI: 10.1007/s12524-011-0141-z.
MilapPunia and Laxman Singh. (2012). Entropy Approach for Assessment of Urban Growth: A Case Study of Jaipur, India, Journal of Indian Society of Remote Sensing, 40 (2): 231-244, DOI: 10.1007/s12524-011-0141-z.
S. N. Mohapatra., Padmini Pani., and Monika Sharma. (2014). Rapid Urban Expansion and Its Implications on Geomorphology: A Remote Sensing and GIS Based Study, Geography Journal, Article ID 361459, 1-10, DOI: 10.1155/2014/361459.
Soffianian, A., Nadoushan, M., A. Yaghmaei, L., and Falahatkar, S. (2010). Mapping and Analyzing Urban Expansion Using Remotely Sensed Imagery in Isfahan, Iran, World Applied Sciences Journal, 9 (12), 1370-1378.
Sudhira, H.S., Ramachandra, T.V., and Jagadish, K.S. (2004). Urban sprawl: metrics, dynamics and modeling using GIS, International Journal of Applied Earth Observation and Geoinformation, 5(1): 29–39, DOI: 10.1016/j.jag.2003.08.002.
Vivek Garg and Alok Sharma. (2018). Urban Sprawl Analysis Using GIS Applications for Jabalpur City, International Research Journal of Engineering and Technology (IRJET), 5(5):4171-4176
Weng, Q. (2001). A remote sensing? GIS evaluation of urban expansion and its impact on Surface Temperature in the Zhujiang Delta, China, International Journal of Remote Sensing, 22(10), 1999–2014, DOI: 10.1080/713860788.
Xu, H., Wang, X., and Xiao, G. (2000). A remote sensing and GIS integrated study on urbanization with its impact on arable lands: Fuqing City, Fujian Province, China, Land Degradation & Development, 11(4), 301–314, DOI:10.1002/1099-145X(200007/08)11:4%3C301::AID-LDR392%3E3.0.CO;2-N.
Yeh, A.G., and Li, X. (2001). Measurement and Monitoring of Urban Sprawl in a Rapidly Growing Region Using Entropy, Photogrammetric Engineering and Remote Sensing, 67(1):83-90.
James Magidi and Fethi Ahmed (2017). Assessing Urban Sprawl using Remote Sensing and Landscape Metrics: A Case Study of City of Tshwane, South Africa (1984-2015), The Egyptian Journal of Remote Sensing and Space Sciences, 1-12, DOI: 10.1016/j.ejrs.2018.07.003.
Abdelkader El Garouani., David J. Mulla., Said El Garouani., Joseph Knight (2017) Analysis of Urban Growth and Sprawl from Remote Sensing Data: Case of Fez, Morocco, International Journal of Sustainable Built Environment, 6 (1): 160-169, DOI: 10.1016/j.ijsbe.2017.02.003.
This work is licensed under Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) © Author (s)