臺大實驗林轄區地形對地表溫度空間分布影響之評估

Assessments of Terrain Effects on Land Surface Temperature in NTU Experimental Forest

賴彥任(Yen-Jen Lai)

《國立臺灣大學生物資源暨農學院實驗林研究報告》 31卷4期 (2017/12) Pp. 213-228

https://doi.org/10.6542/EFNTU.2017.31(4).3

摘要

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(R^2 = 0.61～0.73)，接續為坡向(R^2 =0.22～0.49)，坡度與地表覆蓋情況則不具顯著的統計相關性。

關鍵字

地表溫度 ； 地形 ； 遙感探測

並列摘要

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 (R^2 = 0.61~0.73) followed by aspect (R^2 = 0.22~0.49). In contrast, slope and land cover did not have significant statistical correlations with LST.

並列關鍵字

Land surface temperature ； Terrain ； Remote sensing