Modelling and Characterizing Urban Growth Pattern in Silicon Valley: Establishing a Relationship with LST and Building Footprint

Urbanisation has gained momentum with globalization and opening up of markets for global trade and economic activities in India. There has been a huge policy change in terms of decisions to set up commercial, industrial hubs in and around the city have added a continuous inflow of population through large scale migration in turn contributing to the fast growing urban expanse that needs planning and visualizing growth patterns to design sustainable planned cities. Unplanned urbanization have resulted in the growth of peri-urban region referred to as urban sprawl. Land use data through space borne sensors have proved to be useful in management of space and environment. Modeling of these land use through various techniques such as Cellular automata has been considered as a robust approach to plan and visualize the future growth poles for providing basic amenities. This research extends to model the land use dynamics using SLEUTH, understanding the changing dynamics through land surface temperature, and Building footprint to relate the accuracy of the land use pattern analysis and environmental indicators. This is understood through the process of land use change using supervised classification, Greenhouse gas footprint through sector wise analysis, carbon emission through energy intensive activities, land use alteration to local surface temperature and built-up extraction to match and validate the finding using Support vector machines. The prediction was performed for 2030 suggests there would be 500% growth in next ten years with growth in and around periphery and choking the the city. Further analysis of GHG emissions suggested domestic sector has been one of the major contributor of greenhouse gas emission. Land surface temperature has increased 8°c in last ten years. Using SVM, with segmentation based analysis the temperature and building footprint was related and measured shows increasing temperature with building designs not suited for study region. Environmental sustainability was prioritized to combat current issues in the region and natural resource inventory was created indicates dwindling natural resources and increase in thermal discomfort to the living population thereby signifying a necessity of visualized pre planned carrying capacity based city growth.