Exploring the Seasonal Comparison of Land Surface Temperature Dominant Factors in the Tibetan Plateau

• Published in: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
• Main Authors: Sheng, Qinghong, Zhang, Yuejie, Li, Kerui, Ling, Xiao, Li, Jun
• Format: Text
• Language: English
• Published: 2024
• Subjects: permafrost
• Online Access: https://doi.org/10.5194/isprs-annals-X-1-2024-197-2024; https://isprs-annals.copernicus.org/articles/X-1-2024/197/2024/

LST (Land Surface Temperature) is a significant parameter that represents the ground energy balance and plays a crucial role in understanding climate change. The LST of the Tibetan Plateau (TP) has a direct influence on the climate and environmental changes of the TP, and it also has a significant impact on global climate and atmospheric circulation. Although there are various factors that drive the spatial and temporal distribution of LST on the TP, the primary driving forces and its seasonal variations of LST are not yet well understood. The research focuses specifically on the TP region, selecting three types of LST data, using geodetector model, to analyze the driving factors affecting the spatial pattern of LST in different seasons. The results indicate that the three factors, Air Temperature (AT), Elevation (Ele), and Permafrost Thermal Stability (PTS), have a significant influence on LST throughout all seasons, whereas other variables demonstrate varying contributions to LST depending on the season. This study contributes to the understanding of the spatial variability of surface thermal conditions and the intricate relationships between their driving factors. It also emphasizes the potential changes in these relationships throughout the year.