AN EXPLORATION ON THE PREDICTION OF URBAN EXPANSION WITH CELLULAR AUTOMATA AND GEOSPATIAL DATA
Prodip Roy
Geography
September 2023
Using cellular automata and geospatial data, this project intends to forecast and analyse the growth of urban areas in India. The study covers a wide range of geographical locations in India, from rural areas to large cities like Bangalore, Kolkata, and Mumbai. Landsat and Sentinel satellite images, Digital Elevation Models (DEM), and information from government organizations like the Survey of India and the National Remote Sensing Centre (NRSC) are all part of the extensive geospatial data collection used in the research.Extensive data collecting and pre-processing are part of the methodology, which integrates multiple datasets to find areas with notable urbanization patterns. The modelling approaches used by cellular automata take into account a number of variables as inputs, including land use and land cover classifications, population density, economic indicators, and infrastructural development. Making better decisions on sustainable urban development and land management techniques is made possible by the study's insights into the drivers and patterns of urbanization, which include several geographical and climatic zones within India. The findings show a LULC map of Zhejiang Province from 1995 to 2020, with forest areas prominently displayed. There have been swings in arable land, a steady loss of forest acreage, and a meteoric rise in urban areas, according to the statistics. The study's overarching goal is to shed light on the processes of urbanization so that sustainable development approaches can be better implemented throughout India's varied topography.
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