Utilizing remote sensing data and ArcGIS for advanced computational analysis in land surface temperature modeling and land use property characterization

Abstract

This paper provides a summary of the remote sensing analysis conducted, which utilized satellite images to model changes in land cover and their influence on Land Surface Temperature (LST). The primary determinant of surface overheating is identified as vegetation, with water bodies playing a significant role in LST regulation. Conversely, areas with bare soil and built-up infrastructure contribute to elevated LST levels. Therefore, it emphasizes the importance of implementing measures like urban forestry, creating water bodies, preserving existing ponds, and minimizing construction activities to prevent further increases in LST and mitigate ecological damage. Even in cases where tree planting isn't feasible, introducing shrub-type vegetation in barren urban areas is recommended as an effective means to resist soil heat buildup. Consequently, increasing vegetation cover is highlighted as a crucial factor in controlling LST within both urban and non-urban environments.