基于FY-3D MERSI-2数据的干旱/半干旱地区地表温度反演
Land Surface Temperature Retrieval from FY-3D MERSI-2 Data in the Arid/Semi-Arid Area
摘要: 本文将一种改进的广义分裂窗算法(GSW)用于风云三号D星(FY-3D)中分辨率光谱成像仪II (MERSI-2)数据反演干旱/半干旱地区地表温度。通过MODTRAN5.2和大气廓线数数据TIGR2311 (Thermodynamic Initial Guess Retrieval database)进行辐射传输模拟建立时空代表性的模拟数据库，然后使用稳健回归方法建立不同热红外波段平均发射率(ε)，大气水汽含量(WVC)以及地表温度(LST)区间的GSW算法系数查找表。最后使用热带廓线、中纬度夏季廓线和实测的土壤样本波段发射率作为输入模拟得到2448个验证数据，对算法进行了精度验证。表明改进的GSW算法在干旱、半干旱地区，观测角度不大于30˚的时候，反演精度高。
Abstract: This paper uses an improved Generalized Split-Window (GSW) algorithm to retrieve the land surface temperature (LST) in the arid/semi-arid areas from the data acquired by Medium Resolution Spectral Imager II (MERSI-2) on FengYun 3D (FY-3D). The coefficients in the GSW algorithm corresponding to a series of ranges for the mean emissivity(ε), the atmospheric Water Vapor Content (WVC), and the land surface temperature LST are derived using a robust regression method from the space-time representative numerical values simulated with an accurate MODTRAN 5.2 and Thermodynamic Initial Guess Retrieval database (TIGR2311). At last, 2448 simulative validation data are obtained by MODTRAN5.2, using tropical profilers, mid-latitude summer profilers and band emissivity of measured soil samples as input parameters, to verify the accuracy of the algorithm. The results show that the improved GSW algorithm has high accuracy when the observation angle is not more than 30˚ in the arid and semi-arid areas.
文章引用：蒋金雄, 王铭实, 鞠诗尧, 席家驹. 基于FY-3D MERSI-2数据的干旱/半干旱地区地表温度反演[J]. 地球科学前沿, 2019, 9(8): 693-702. https://doi.org/10.12677/AG.2019.98074

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