ANALYSIS OF THE URBAN SPRAWL DYNAMICS USING SHANNON’S ENTROPY IN ROORKEE PLANNING AREA

Abstract

This study is an attempt to analyse the urban growth patterns using Shannon’s entropy in Roorkee, Uttrakhand, a
growing urban agglomerate in India due to its locational and functional attribute. It has three major national
highways that connect to Delhi, Dehradun, and Haridwar. This study utilises the integration of the Remote sensing
data and Arc GIS to perform a preliminary identification and mapping of the change detection using the classified
data and important driving factors of growth in the city. These factors need to be calibrated using quantifiable
indices-like Shannon’s entropy which can evaluate the simulated growth pattern in terms of the degree of dispersion
and concentration of built-up areas in the different zones around the major driving factors. This index helps in
establishing the likely patterns of growth based on the index values obtained. The results and conclusions can serve as
a planning paradigm for any further smart and sustainable development in the city.