Remote spectroscopy of terrestrial ecosystems generally falls into one of two categories: UV, Visible and ShortWave InfraRed (VSWIR) methods measuring reflected solar illumination, and Thermal InfraRed (TIR) methods measuring radiation emitted from the Earth's surface. Both interpret the measured radiance with inversion algorithms that estimate surface reflectance, emissivity, surface temperatures, and the atmospheric state. However, the two regimes have traditionally used independent inversion methods. Here we present the first simultaneous inversion of the upwelling radiance spectrum from the UV through the VSWIR and the Thermal Infrared. Maximum A Posteriori estimation determines the surface and atmosphere state that is most consistent with measured radiance across the entire range. We find that the complementary information in the two intervals improves estimates of atmospheric properties, surface emissivity, and surface temperature. Posterior uncertainty is 40% lower in surface temperature and 60% in air temperature. Spurious correlations between atmospheric and surface state are also reduced, with 90% lower correlated uncertainty between total column water vapor and both surface and air temperature. Temperature-emissivity separation also improves, with a 33% reduction in correlated posterior uncertainty between the parameters. We demonstrate the method on coincident data from the Classic Airborne Visible Infrared Imaging Spectrometer (AVIRIS-C) operating in the VSWIR range, and the Hyperspectral Thermal Emission Spectrometer (HyTES) in the TIR range, during flights on NASA's high-altitude ER-2 aircraft. Measurements spanning 0.4 to 12 microns can improve estimates of surface and atmospheric properties, significantly advancing studies in terrestrial ecosystems, geology, agriculture, and urban management.

陆地生态系统的远程光谱学通常分为两类之一：测量反射太阳光照的紫外线、可见光和短波红外 (VSWIR) 方法，以及测量从地球表面发射的辐射的热红外 (TIR) 方法。两者都使用反演算法来解释测量的辐射，这些算法可以估计表面反射率、发射率、表面温度和大气状态。然而，这两种制度传统上使用独立的反演方法。在这里，我们展示了从紫外到 VSWIR 和热红外的上升流辐射光谱的第一次同时反演。最大后验估计确定与整个范围内测量的辐射最一致的表面和大气状态。我们发现两个区间的互补信息改进了对大气特性、地表发射率和地表温度的估计。表面温度的后验不确定性降低 40%，空气温度降低 60%。大气和地表状态之间的虚假相关性也减少了，总柱状水蒸气与地表和空气温度之间的相关不确定性降低了 90%。温度-发射率分离也得到改善，参数之间的相关后验不确定性降低了 33%。在 NASA 的高空 ER-2 飞行期间，我们展示了在 VSWIR 范围内运行的经典机载可见红外成像光谱仪 (AVIRIS-C) 和 TIR 范围内的高光谱热发射光谱仪 (HyTES) 的重合数据的方法飞机。