基于环境星HJ_1B数据反演大亚湾海表温度的三种算法

Three Algorithms of Sea Surface Temperature Inversion of Daya Bay based on Environmental Star HJ_1B data

利用大亚湾2011年2月10日一景环境星HJ_1B热红外遥感影像,通过MODTRAN计算得到大气上、下行辐射和大气透过率,再运用经验公式计算星下辐亮度,分别用大气辐射传输方程模型法、覃志豪单窗算法和Jimenez-Munoz&Sobrino单通道算法反演大亚湾地区海表温度。将三种方法反演的结果与MODIS海表温度对比,其中覃志豪普适性单窗算法反演的海表温度与MODIS海表温度一致性最好,获得的精度较高,RTM算法与覃志豪单窗反演的结果平均误差在0.7K左右。

Base on the thermal infrared remote sensing image of daya bay taken by HJ_1B satellite on February 10,2011,atmospheric upward radiation,downward radiation and atmospheric transmittance was calculated by MODTRAN,the radial brightness was calculated by the empirical formula. The sea surface temperatures was inverted with the atmospheric radiation transmission equation model( RTM),mono-window algorithm and generalized single-channel algorithm,separately for comparison with the temperature product of MOIDS. The results show that the mono-window algorithm is more precise than the others,the results of RTM and mono-window algorithm differ slightly from the MODIS temperature product,being 0. 7 K on average.