Land Surface Temperature Retrieval Methods From Landsat-8 Thermal Infrared Sensor Data
Land Surface Temperature Retrieval Methods From Landsat-8 Thermal Infrared Sensor Data
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DOI：
10.1109/lgrs.2014.2312032
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发表时间：
2014-10-01
影响因子：
4.8
通讯作者：
Cristobal, Jordi
中科院分区：
文献类型：
--
作者：
Jimenez-Munoz, Juan C.;Sobrino, Jose A.;Cristobal, Jordi
从高到中空间分辨率遥感数据中检索的地表温度 (LST) 对于许多环境研究的重要性，特别是与农业用地水资源管理相关的应用，是最终决定在 Landsat 数据连续性任务或 Landsat-8 上安装热红外 (TIR) 仪器的关键因素。这种新型 TIR 传感器 (TIRS) 在 10 至 12 μm 之间的大气窗口中包含两个 TIR 波段，因此除了单通道 (SC) 算法外，还可以应用分割窗口 (SW) 算法，或者直接反演 Landsat 平台上以前传感器中使用的辐射传输方程，只有一个 TIR 波段。在这封信中，我们建议将 SC 和 SW 算法应用于 Landsat-8 TIRS 数据以进行 LST 反演。使用大气剖面数据库和从光谱库中提取的发射率光谱进行正向模拟获得的模拟数据对算法进行了测试。结果显示，SC 和 SW 算法的平均误差通常低于 1.5 K，随着大气水蒸气含量的增加，SW 算法的结果略好于 SC 算法。
The importance of land surface temperature (LST) retrieved from high to medium spatial resolution remote sensing data for many environmental studies, particularly the applications related to water resources management over agricultural sites, was a key factor for the final decision of including a thermal infrared (TIR) instrument on board the Landsat Data Continuity Mission or Landsat-8. This new TIR sensor (TIRS) includes two TIR bands in the atmospheric window between 10 and 12 mu m, thus allowing the application of split-window (SW) algorithms in addition to single-channel (SC) algorithms or direct inversions of the radiative transfer equation used in previous sensors on board the Landsat platforms, with only one TIR band. In this letter, we propose SC and SW algorithms to be applied to Landsat-8 TIRS data for LST retrieval. Algorithms were tested with simulated data obtained from forward simulations using atmospheric profile databases and emissivity spectra extracted from spectral libraries. Results show mean errors typically below 1.5 K for both SC and SW algorithms, with slightly better results for the SW algorithm than for the SC algorithm with increasing atmospheric water vapor contents.