Spatiotemporal Variability in Land Surface Temperature Over the Mountainous Region Affected by the 2008 Wenchuan Earthquake From 2000 to 2017

Abstract

The mountainous region affected by the 2008 Wenchuan earthquake was frequently analyzed to assess its vegetation recovery. However, the dynamic of surface thermal environment was rarely investigated but directly influenced local geophysical and biophysical processes. Under this background, this research aimed to analyze the trend of surface temperature based on Moderate Resolution Imaging Spectroradiometer daily land surface temperature product from 2000 to 2017 and understand its change mechanism. An annual temperature cycle model was applied to obtain the daytime and nighttime annual cycle parameters (ACPs), including mean annual surface temperature (MAST), yearly amplitude of surface temperature, and phase shift. The trend analysis with the Mann‐Kendall test illustrated the strong inverse relationship between the two ACPs (MAST and yearly amplitude of surface temperature) and elevation, and the nighttime terms showed a stronger connection than those of the daytime. The areas with significant decreases in vegetation coverage induced by the earthquake exhibited an obvious upward trend in daytime MAST and annual maximum temperature, while the vegetation improved areas presented a cooling effect. Comparatively, the nighttime ACPs was little sensitive to vegetation change and the change magnitude was relatively small. For the high mountain area, with the shrinkage of snow cover duration, the global warming effect resulted in a warming trend by increasing the annual minimum temperature at both the daytime and nighttime. Overall, this study provided insights to the impact of the earthquake to mountain thermal environment and its different responses to changes in vegetation cover and climatic environment.

Interannual Spatiotemporal Variations of Land Surface Temperature in China From 2003 to 2018

“…The reason why the ATC model is widely used is that the LST parameters obtained from the ATC model can fully express the changes in surface thermal behavior and reflect the feedback effect of surface thermal behavior on climate change. Zhao et al [15] applied the ATC model over the mountainous region impacted by the 2008 Wenchuan earthquake and displayed spatiotemporal variability in the LST of this region. Quan et al [16] proposed a decomposition of the ATC model to extract the trend, seasonal, and noise components of LST in continuous space for detecting the seasonal variations of the LST from 2000 to 2012.…”

Spatiotemporal Patterns of Land Surface Temperature Change in the Tibetan Plateau Based on MODIS/Terra Daily Product From 2000 to 2018

“…Usually, annual surface temperature variations can be described as a sine function [35] because of the influence of solar radiation [36]. Therefore, the ATC can be approximated by a constant term plus a sine function as shown in below:…”

Gap-Free LST Generation for MODIS/Terra LST Product Using a Random Forest-Based Reconstruction Method

“…Land surface temperature (LST) has a deep influence in the study of water balance, land surface energy and land surface processes at regional and global scales [1,2], and it plays an essential role in various fields, such as monitoring soil moisture, evapotranspiration, drought assessment, urban climate change, hydrological cycle research and disease transmission [3][4][5][6][7]. Since the 1970s, the extraction of LST from airborne thermal infrared data has attracted much attention [8].…”