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Urban growth trend analysis using Shannon Entropy approach -A case study in North-East India

Urbanization is considered as the most influential drivers of land use and land cover change associated with growth of populations and economy. The integration of remote sensing (RS) and Geographical Information System (GIS) technique acts as an effective tool for detecting urban growth and modelling in the recent years. In order to maintain a systematic urban growth pattern at regional or global level, effective planning has to be first prepared at local level. The present study aims to quantifying the urban growth in Jorhat district of Assam using Shannon's Entropy Approach. The entropy values obtained in the study were 2.32 in 1996 and 2.49 in the year 2010 which are closer to the upper limit of log (n), i.e. 2.63, indicating a dispersed development. The study also emphasizes the potentiality of Landsat TM data in the urban studies at local level. The present finding will have high utility in understanding the present and projecting the future growth scenario. This will further help in preparation of effective planning and management strategies for controlled and systematic urban growth both at regional as well as local level.