ANNOUNCEMENTS
The interplay between urban landscape changes and Land Surface Temperature (LST) is a critical factor, especially as cities grapple with the challenges of rapid urbanization and climate change. This study investigates the relation between Land Use Land Cover (LULC) and LST trends from 2013 to 2023, aiming to propose urban planning strategies using ArcGIS Urban. The analysis utilizes satellite data – Landsat 8 OLI_TIRS for both urban sprawl determination and estimation of LST. Additionally, calculation of indices such as NDBI and NDVI, aided in the analysis and their impact on urban temperature dynamics. Using statistical methods such as correlation, we quantified the relationship between changes in indices and LST, finding a robust positive correlation between urbanization and rising surface temperature and a negative correlation between vegetation and surface temperature. The findings reveal significant insights into the spatial dynamics of Bengaluru’s urban growth with an increase of 34.63% and the rise in LST by 2.62, with a slight change in the values of indices. Based on these insights, we propose various urban redevelopment scenarios prioritizing improved land use and inclusivity. These scenarios aim to mitigate the adverse effects of urban sprawl and rising temperatures while promoting sustainable and equitable urban development. The methodology provides a replicable framework for other urban areas facing similar environmental challenges, demonstrating the importance of strategic urban planning in mitigating adverse climate impacts. This study provides a robust framework for urban planners and policymakers to address the dual challenges of urban expansion and environmental sustainability. The sustainable development scenarios present a viable approach for cities to balance growth with environmental sustainability, enhancing resilience to climate change.
Keywords: Urban Planning, LULC, LST, Indices, Correlation,
