Retrieval of land surface temperature from FY3D MERSI-II based on re-fitting Split Window Algorithm

文献类型： 外文期刊

第一作者： Zhang Dejun

作者： Zhang Dejun;Yang Shiqi;Liu Xiaoran;Zhu Hao;Ye Qinyu;Zhang Xinyu;Zhang Dejun;Yang Shiqi;Liu Xiaoran;Zhu Hao;Ye Qinyu;Zhang Xinyu;Sun Liang;Tang Shihao

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关键词： FY3D; MERSI-II; split-window; land surface temperature

期刊名称：EUROPEAN JOURNAL OF REMOTE SENSING （ 影响因子：3.168； 五年影响因子：3.785 ）

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收录情况： SCI

摘要： Medium Resolution Spectral Imager II (MERSI-II) is one of the core sensors mounted on the FengYun-3D (FY3D) satellite. Two adjacent 250 m long-wave thermal infrared (TIR) channels provide a considerable opportunity for retrieving Land Surface Temperature (LST) with high spatiotemporal resolution. In this paper, Thermodynamic Initial Guess Retrieval (TIGR) dataset and MODTRAN 4.0 model were used to re-fit the parameters of the Split-Window (SW) algorithm suitable for MERSI-II TIR channels, and then the daily 250 m resolution MERSI-II LST product was retrieved. The Radiance-based (R-based) method results showed that the bias value between LSTs simulated by MODTRAN4.0 and the input LSTt is 0.16 K, and the MAE value is 0.38 K. Inter-comparison method results showed that the MERSI-II LST and MODIS LST products were consistent in spatial distribution, but there were certain differences between MODIS LST and MERSI-II LST at different land cover types. T-based method results showed that R values between the site-observed LST and MERSI-II LST retrieved by SW algorithm exceeded 0.92, the bias value was between 3.6 K and 4.4 K, and the MAE value was between 2.6 K and 4.5 K. The above results indicating that the SW algorithm proposed in this study has good accuracy and applicability.

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