A Comparative Analysis of Land Surface Temperature (LST) Data from Landsat-8 and ENVI-met Monitoring Softwares: A Case Study of an Urban Park in Budapest

Abstract

Urban Heat Islands (UHI) present a significant environmental challenge in urban centres worldwide, exacerbated by global warming and intense urbanisation. This study explores methods for monitoring Land Surface Temperature (LST) within urban environments, focusing on the comparative analysis of satellite imagery and ENVI-met simulations. An urban park from Budapest was selected to analyse the surface temperature during three summer days using satellite imagery and ENVI-met. Statistical analyses reveal a strong correlation between LST derived from satellite imagery and ENVI-met simulations with a (R2) value of 0.97 (p < 0.001) on day 1, 0.95 (p < 0.01) on day 2, and 0.98 (p < 0.01) on day 3, suggesting potential for calibrating ENVI-met models using satellite data depending on a method proposed by authors. However, distinct variations can be noticed when specific spots are compared, especially under tree canopies and hard surfaces, which needs further investigation. The study underscores the complementary nature of satellite observation and numerical simulation approaches, highlighting the need for integrated methodologies to understand and mitigate UHI effects.