A Study On Infrared Remote Sensing Mechanism And Algorithms Of SST Retrieval With Autonomic Satellite Data

Sea surface temperature, abbreviated as SST, is one of the most important factors in oceanography. SST effects almost all the ocean movements, especially the dynamic processes. Large scale properties of ocean bother ocean research. Traditional measuring methods, such as seaway and dispersion point measurements, can’t satisfy the need of embodying distribution of SST field, however, which can be done with remote sensing technique.Paper mainly discusses the application of SST retrieved from thermal remote sensing with autonomic satellites. Progress in thermal remote sensing is introduced briefly, which mainly consists of the developments of thermal remote sensing sensors and the theory. Basic conceptions and fundamental laws are introduced. Thermal infrared radiation characteristics of solar and the earth are analyzed, and indicates the influence of the atmosphere in atmospheric irradiative transfer. Concept of thermal infrared atmospheric window is recommended and SST retrieval algorithms ever existed are summarized.Taking the Bohai Sea and northern Yellow Sea as example, based on long time series in situ measurements and FY-3A VIRR image data, a NLSST algorithm fitted for FY-3A in order to retrieve SST is established. Validation with field measurements shows that the average error of the algorithm is about0.78℃.1030nm channel data of FY-3A MERSI sensor is applied to the retrieval of atmospheric water vapor, and a new local FY-3A water vapor retrieval algorithm is born. Validation with shore-based CE-318long time field measurements, results shows improved algorithm performs better.Considering the spectral characteristics of HJ-1B IRS channels, a convenient and operational cloud detection method underlying ocean surface is put forward, based on the analysis of reflection and emission features of cloud and ocean waters. Consistently analysis with quasi-synchronous MODIS cloud detection product MOD35shows that new method performs well under various conditions. Existing research on HJ-1B SST retrieval, for lack of field measurements validation, can’t be applied to operational process. Based on the conditions above, taking the Bohai Sea and Yellow Sea as example, a statistical algorithm for HJ-1B IRS data is established with a great number of in situ measurements. Finally, a brief summary of research in this paper is done.