A split-window method to retrieving sea surface temperature from landsat 8 thermal infrared remote sensing data in offshore waters. (5th May 2020)

• Record Type: Journal Article
• Authors: Fu, Jiaoqi; Chen, Chao; Guo, Biyun; Chu, Yanli; Zheng, Hong
• Is Part Of: Estuarine, coastal and shelf science. Volume 236(2020)
• Publication Date: 2020-05-05
• Subjects: Sea surface temperature -- Landsat 8 -- Thermal infrared remote sensing data -- MODTRAN; Estuarine oceanography -- Periodicals; Coasts -- Periodicals; Estuarine biology -- Periodicals; Seashore biology -- Periodicals; Coasts; Estuarine biology; Estuarine oceanography; Seashore biology; Periodicals; 551.461805
• DOI: 10.1016/j.ecss.2020.106626
• Languages: English
• ISSNs: 0272-7714

Abstract

Abstract: Sea surface temperature (SST) is an important parameter used to describe the air-sea interaction and the state of marine structures. Atmospheric water vapor has a significant attenuation effect on thermal infrared information, which will reduce the accuracy of SST inversion. However, the effect of atmospheric water vapor on the inversion accuracy is not considered carefully in the existing SST inversion algorithm. In this study, a new method is proposed for retrieving SST from Landsat 8 Thermal Infrared Remote Sensing (TIRS) data based on the variation of atmospheric water vapor content (wvc). First, simulating atmospheric conditions by using moderate resolution atmospheric transmission (MODTRAN) based on atmospheric profiles data (air temperature and pressure). Second, calculating the bright temperature based on the radiation transfer equation and Planck's law. Then, constructing the SST retrieval model of thermal infrared remote sensing based on wvc. Finally, evaluating the accuracy of the proposed model by using simulation data. The root mean square errors (RMSEs) are within 0.5 K, indicating that the accuracy of the model is good in theory. In addition, taking the Zhoushan sea area as the research area, SST is retrieved by Landsat 8 TIRS data. The accuracy of inversion results is evaluated by advanced very high-resolution radiometer (AVHRR) SST products. The bias and RMSE based on the AVHRR SST products are within 1 K and 2 K, respectively. The results show that the accurate SST with high spatial resolution was successfully obtained by using the method. The study is of great significance to the acquisition of marine structural parameters, the exploitation of marine resources, and the monitoring of marine disasters. Highlights: A split-window method is proposed for retrieving SST from Landsat 8 TIRS data considering atmospheric water vapor content (wvc). The coefficients of model with wvc are fitted. Accurate SST with the high spatial resolution is successfully obtained by using the proposed method in offshore waters.