Quantitative and operational algorithm for retrieving sea surface temperature from HJ-1B data——with Northern Sea of China as example
HJ-1B卫星海表温度定量反演业务化算法研究——以中国北部海区为例

Satellite operational data products play an important role in applications of remote sensing.Using the thermal images acquired by HJ-1B launched in September 2008 and the near-real time measured data,we improved the Mono-window Algorithm and the equations to estimate the transmittance and atmospheric average temperature for sea surface temperature(SST) retrieval from HJ-1B images.Accordingly,a new quantitative and operational algorithm was proposed.The new algorithm was compared with Duan’s algorithm in accuracy of SST retrieval in the experimental regions.The comparison indicated that the SST retreived by the new algorithm was closer to the measured SST data in the experimental regions than that of Duan’s one.For the new algorithm,average error of the retrieved SST was 0.76℃ from the measured SST.As contrast,the error was 1.09℃ for Duan’s algorithm.Therefore it could be concluded that this research provided an applicable alternative for operationally generate the SST data products from the HJ-1B images.