Urban Area Delineation Using Pattern Recognition Technique

Tutu Sengupta, Satish Sharma, (doi: 10.23953/cloud.ijarsg.333)

Abstract


Urban areas are most dynamic in terms of land use changes. The temporal changes can be monitored through satellite data and reflects the development taking place. Pattern recognition techniques are used to monitor the dynamics. In the present paper, Nagpur city urban sprawl has been studied using band ratioing techniques and fuzzy classification. The result shows an increase in the impervious layer which is the bench mark of urbanization and a corresponding decrease in the vegetation cover and the open spaces. This type of output can be used for planning of industries, garden, rejuvenation of water bodies and monitor the development activities.

Keywords


Remote sensing; Geographic information system; Normalised difference built up index; Fuzzy classification

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*2016 Journal Impact Factor was established by dividing the number of articles published in 2014 and 2015 with the number of times they are cited in 2016 based on Google Scholar, Google Search and the Microsoft Academic Search. If ‘A’ is the total number of articles published in 2014 and 2015, and ‘B’ is the number of times these articles were cited in indexed publications during 2016 then, journal impact factor = A/B. To know More: (http://en.wikipedia.org/wiki/Impact_factor)