Urban Sprawl in the context of proximity factors using Shannon’s Entropy Index and fractal dimensions: a case of Lucknow

This study employs Geomatics techniques, including Remote Sensing (RS) for satellite dataset acquisition and Geographic Information System (GIS) for analysing Land-use Land-cover (LULC) patterns, to assess the nature of urban sprawl. Central to this analysis are the proximity to the Central Business District (CBD) and major roads. The research utilises low- and high-density measures to distinguish the varying characteristics of urban sprawl, allowing for the prioritisation of sustainable objectives across different city zones. The study applies Shannon's Entropy Index (SEI) and Fractal Dimensions (FD) analysis to the years 1991 and 2021, focusing on CBD and major roads proximity.