Utilizing remote sensing data and ArcGIS for advanced computational analysis in land surface temperature modeling and land use property characterization
Department of Mathematical Sciences, The University of Texas at El Paso, United States.
Review Article
World Journal of Advanced Research and Reviews, 2024, 21(01), 1496–1507
Publication history:
Received on 08 November 2023; revised on 15 January 2024; accepted on 17 January 2024
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.
Keywords:
LST; Band; Thematic Mapper.
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0