Thermal infrared (TIR) remote sensing of the land-surface temperature (LST) provides an invaluable diagnostic of surface fluxes and vegetation state, from plant and sub-field scales up to regional and global coverage. However, without proper consideration of the nuances of the remotely sensed LST signal, TIR imaging can give poor results for estimating sensible and latent heating. For example, sensor view angle, atmospheric impacts, and differential coupling of soil and canopy sub-pixel elements with the overlying atmosphere can affect the use of satellite-based LST retrievals in land-surface modeling systems. A concerted effort to address the value and perceived shortcomings of TIR-based modeling culminated in the Workshop on Thermal Remote Sensing of the Energy and Water Balance, held in La Londe les Maures, France in September of 1993. One of the outcomes of this workshop was the Two-Source Energy Balance (TSEB) model, which has fueled research and applications over a range of spatial scales.

中文翻译：

---

基于热红外的双源能量平衡 (TSEB) 模型简史 – 诊断从植物到全球尺度的蒸散量

地表温度 (LST) 的热红外 (TIR) 遥感可为地表通量和植被状态（从植物和子田规模到区域和全球覆盖范围）提供宝贵的诊断。然而，如果没有适当考虑遥感 LST 信号的细微差别，TIR 成像在估计显热和潜热时可能会给出较差的结果。例如，传感器视角、大气影响以及土壤和冠层子像素元素与上覆大气的差分耦合可能会影响地表建模系统中基于卫星的 LST 检索的使用。 1993 年 9 月在法国 La Londe les Maures 举办的能源和水平衡热遥感研讨会上，各方齐心协力解决基于 TIR 的建模的价值和明显​​缺点。该研讨会的成果之一双源能量平衡（TSEB）模型推动了一系列空间尺度的研究和应用。