溫度為生態系的主要環境影響因子之一，由於山區氣象觀測密度嚴重不足，如何 取得山區的溫度變動一直為臺灣生態研究的重要議題。本研究利用單一頻道演算法反演 Landsat地表溫度，並與MODIS地表溫度及地面測站草溫進行比較與驗證；另進一步探討海 拔、坡向、坡度及地表覆蓋情況等因子對臺大實驗林轄區地表溫度的影響。結果顯示， Landsat-LST因具有較高的空間解析度，因此較MODIS-LST更能反映出空間異質性。以 Landsat-LST來看，海拔為最主要的影響因子（R2 = 0.61~0.73)，接續為坡向（R2 = 0.22~0.49)，坡度與地表覆蓋情況則不具顯著的統計相關性。

Temperature is one of the main environmental impact factors of ecosystem. In Taiwan ecological research, finding a proper way to obtain a value of temperature is important because of serious shortage of meteorological observations in mountainous areas. In this study,land surface temperature (LST) was retrieved from Landsat satellite images with a single-channel algorithm and was compared/validated with NASA MODIS- LST product and ground-based grass temperature, respectively. Furthermore, factors such as altitude, aspect, slope, and land cover, which might affect LST in NTU Experimental Forest, were discussed. The results showed that Landsat-LST could reflect better spatial heterogeneity than MODIS-LST because of its higher spatial resolution. Based on Landsat-LST, the influence of altitude was the most important factor (R2 = 0.61〜0.73) followed by aspect (R2 = 0.22〜0.49). In contrast, slope and land cover did not have significant statistical correlations with LST.