Assessment of urban growth using Shannon’s Entropy Index: A case study of Chennai, Detroit of India

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...

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Bibliographic Details
Published in:Journal of applied and natural science 2019, Vol.11 (2), p.281-284
Main Authors: N, Shenbagaraj, M., Naresh Kumar, J., Leo Stalin
Format: Article
Language:English
Subjects:
Dispersion
Entropy (Information theory)
Geographic information systems
Patterning
Remote sensing
Satellites
Urban areas
Urban development
Urban sprawl
Urbanization
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Summary: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.
ISSN:0974-9411
2231-5209
DOI:10.31018/jans.v11i2.2037