JAUE2024-009: Spatial and Temporal Distribution of Urban Heat Island Effect and Correlation Analysis of Road Network in Xi'an City Based on Landsat 8 TIRS Surface Temperature Data Inversion

Abstract

Extreme global heat waves pose significant challenges to human health and urban systems. Urban surface temperature (LST) is an important indicator of the urban thermal environment, while land cover change (LULC) in, especially urban transportation road networks, is an important factor affecting the urban thermal environment. However, traditional meteorological monitoring stations and actual measurement methods are difficult to meet the three unities of continuity, spatiality and real-time monitoring of urban thermal environment. Therefore, in order to study the contribution of land use types, especially the urban transportation road network, to the urban heat island effect, this paper analyzes the spatial distribution pattern of the heat island effect in Xi'an based on the remote sensing image data and urban spatial vector element data, and inverts into the thermal surface temperature using the atmospheric correction method to carry out the correlation analysis between the urban heat island effect and urban spatial elements. This study provides new ideas for sustainable urban development and thermal environment management.