Analysis of factors affecting mountainous land surface temperature in the summer：a case study over Mount Tai

Mount Taishan's land surface temperature (LST) is primarily influenced by elevation and surface moisture, with elevation showing a natural logarithmic decrease in LST as it increases. A study using Landsat 5 TM6 data and single-window algorithm-derived LST found that while slope, aspect, and solar radiation had minimal impact, normalized difference moisture index (NDMI) was more effective than normalized difference vegetation index (NDVI) in expressing LST, especially in non-aquatic areas. NDMI exhibited a linear negative correlation with LST, whereas NDVI showed a quadratic relationship. Stepwise regression analysis confirmed that surface moisture characteristics were the dominant factor, followed by elevation. These findings provide scientific insights into the spatial variability and mechanisms of mountain LST.

SUN Changfeng, 孙常峰, KONG Fanhua, 孔繁花, YIN Haiwei, 尹海伟, YAN Weijiao, 闫伟姣, XU Feng, 许峰, & REN Yijing, 任怡静. (2014). Analysis of factors affecting mountainous land surface temperature in the summer：a case study over Mount Tai. Acta Ecologica Sinica, 34(12). https://doi.org/10.5846/stxb201310312626