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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