Zhang Ren-Hua, Su Hong-Bo, Tian Jing, Mi Su-Juan, Li Zhao-Liang
Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Department of Civil, Environmental and Geomatics Engineering, Florida Atlantic University, Boca Raton, FL 33431, USA.
Sensors (Basel). 2016 Jun 24;16(7):970. doi: 10.3390/s16070970.
In the inversion of land surface temperature (LST) from satellite data, obtaining the information on land surface emissivity is most challenging. How to solve both the emissivity and the LST from the underdetermined equations for thermal infrared radiation is a hot research topic related to quantitative thermal infrared remote sensing. The academic research and practical applications based on the temperature-emissivity retrieval algorithms show that directly measuring the emissivity of objects at a fixed thermal infrared waveband is an important way to close the underdetermined equations for thermal infrared radiation. Based on the prior research results of both the authors and others, this paper proposes a new approach of obtaining the spectral emissivity of the object at 8-14 µm with a single-band CO₂ laser at 10.6 µm and a 102F FTIR spectrometer. Through experiments, the spectral emissivity of several key samples, including aluminum plate, iron plate, copper plate, marble plate, rubber sheet, and paper board, at 8-14 µm is obtained, and the measured data are basically consistent with the hemispherical emissivity measurement by a Nicolet iS10 FTIR spectrometer for the same objects. For the rough surface of materials, such as marble and rusty iron, the RMSE of emissivity is below 0.05. The differences in the field of view angle and in the measuring direction between the Nicolet FTIR method and the method proposed in the paper, and the heterogeneity in the degree of oxidation, polishing and composition of the samples, are the main reasons for the differences of the emissivities between the two methods.
在利用卫星数据反演地表温度(LST)的过程中,获取地表发射率信息极具挑战性。如何从热红外辐射的欠定方程中求解发射率和LST,是定量热红外遥感领域的一个热门研究课题。基于温度-发射率反演算法的学术研究和实际应用表明,在固定热红外波段直接测量物体的发射率是闭合热红外辐射欠定方程的重要途径。基于作者及他人的前期研究成果,本文提出了一种利用10.6 µm单波段CO₂激光器和102F傅里叶变换红外光谱仪获取8 - 14 µm物体光谱发射率的新方法。通过实验,获得了铝板、铁板、铜板、大理石板、橡胶板和纸板等几种关键样品在8 - 14 µm的光谱发射率,测量数据与同一物体用Nicolet iS10傅里叶变换红外光谱仪测量的半球发射率基本一致。对于大理石和生锈铁等材料的粗糙表面,发射率的均方根误差低于0.05。Nicolet傅里叶变换红外光谱法与本文提出的方法在视场角和测量方向上的差异,以及样品氧化程度、抛光程度和成分的不均匀性,是两种方法发射率存在差异的主要原因。