Literature Survey for Land Surface Temperature Using Parameters that Include the Normalised Differential Vegetation Index and the Impervious Surface Area

Abstract

Land surface temperature (LST) is a crucial parameter for studying and understanding urban heat islands, climate change impacts, and land surface processes. To accurately assess LST, researchers have explored the integration of various parameters, including the Normalized Differential Vegetation Index (NDVI) and Impervious Surface Area (ISA). This literature survey aims to review existing studies that have employed NDVI and ISA as parameters for analyzing LST. The NDVI, derived from remote sensing data, quantifies the vegetation vigor and density by measuring the difference in reflectance between near-infrared and red wavelengths. NDVI has been widely used as a surrogate for vegetation cover, which affects the thermal behavior of land surfaces. On the other hand, ISA represents the proportion of impervious surfaces, such as roads, buildings, and pavements, within a given area. These surfaces have distinctive thermal properties that significantly influence LST patterns. The reviewed literature demonstrates that integrating NDVI and ISA as parameters for analyzing LST provides valuable insights into the complex relationships between land use/land cover, vegetation, and urban heat. Studies have shown that areas with higher NDVI tend to have lower LST, indicating the cooling effect of vegetation. Conversely, increased ISA is associated with higher LST, reflecting the heat-trapping nature of impervious surfaces. Furthermore, the combination of NDVI and ISA has enabled the identification of urban heat islands and the assessment of their spatial-temporal dynamics. Overall, this literature survey highlights the importance of incorporating NDVI and ISA as parameters in the study of LST. It underscores their relevance in urban planning, environmental management, and climate change mitigation strategies by providing a comprehensive understanding of land surface thermal characteristics and their underlying factors.