| Abstract Submission No. | ABS-4.1-0105 |
| Title of Abstract | Green Space Dynamics and Urban Heat Regulation in Bengaluru: A Decadal Perspective |
| Authors | Rupam Singh, R.K. Mall *, Shreya Rai |
| Organisation | DST-MCECCR,IESD,BHU |
| Address | DST-Mahamana Centre of Excellence in Climate Change Research, IESD, Banaras Hindu University Varanasi, Uttar Pradesh, India Pincode: 221005 E-mail: rupamsingh1895@gmail.com |
| Country | India |
| Presentation | Oral |
| Abstract | Rapid urbanization has significantly altered land use patterns, leading to fragmented vegetation and intensified urban heat island (UHI) effects. Bengaluru, one of South Asia¿s fastest-growing metropolitan regions, faces increasing thermal stress as dense construction expands and vegetation cover declines. This study examines the spatiotemporal dynamics between urban green space patterns and thermal regulation over the decade 2014¿2024. To capture these changes, multi-source satellite datasets, including Landsat 8 OLI/TIRS, Resourcesat-2 LISS-IV, and high-resolution Google Earth imagery, were analyzed to map variations in green space distribution, impervious surface expansion, and land surface temperature (LST). The Coupling Coordination Degree Model (CCDM) was employed to evaluate the synergy between ecological infrastructure and its thermal mitigation functions. The results show a distinct rising trend in LST together with a consistent drop in vegetation indices like NDVI, indicating persistent ecological stress brought on by rapid urbanisation. Although vegetation maintained a cooling influence, the coordination between green spaces and surface temperature weakened during the latter half of the decade, particularly in densely built-up areas. Spatial clustering patterns further indicate that poorly connected vegetation patches correspond with thermal hotspots, while built-up intensity shows a negative association with thermal coordination. Methodologically, the study advances urban climate analysis by combining manually digitized high-resolution green space data with remote sensing indices, landscape metrics, and CCDM. The results underscore the importance of spatially connected and strategically planned green infrastructure in mitigating heat stress. Targeted interventions, including micro-scale greening and vertical solutions, are critical for enhancing resilience in dense urban environments. |
| Keywords | Urban Green Space, LST, Coupling Coordination Degree Model (CCDM), NDVI, Urban Heat Island |