SPATIOTEMPORAL MODELLING OF URBAN SPRAWL IN A COASTAL CITY USING MODIFIED SLEUTH URBAN GROWTH MODEL

Speaker: KRISHNAVENI K.S., National Institute Of Technology Calicut, IndiaWith estimates indicating that 2.5 billion people may relocate from rural to urban areas by 2050, rapid urbanisation, particularly in developing countries, could result in unchecked growth and urban sprawl. The diverse detrimental effects of sprawl pertain to environmental, economic, social, and quality of life dimensions. To accomplish efficient management of urban sprawl, the measuring, mapping, and monitoring of urban sprawl are vital for any region. Accurate and current knowledge on the spatio-temporal patterns of urban sprawl is essential for sustainable urban development planning and management. Regulation of urban sprawl and access to open and green areas fall under the purview of Target 11.3 of SDG 11, “Sustainable Cities and Communities”. Urbanisation significantly transforms natural landscapes, reshaping ecosystems and amplifying environmental challenges. This study examines the relationship between urban expansion, Land Surface Temperature (LST) dynamics, and vegetation cover in Bhubaneswar, India, over two decades. Using multi-temporal Landsat imagery (2003, 2014, 2023) and MODIS LST data (March-May), the research highlights critical connections between urban growth and environmental impacts, offering actionable strategies for sustainable urban planning.