Journal of Tropical Oceanography ›› 2017, Vol. 36 ›› Issue (1): 9-14.doi: 10.11978/2016032CSTR: 32234.14.2016032

Special Issue: 海洋大数据及应用

• Orginal Article • Previous Articles     Next Articles

The inversion of multiple-phase SSTs based on the MODIS data: a case study on the southwest coastal waters of Hainan Island

Tiantian GUO(), Shengbo CHEN(), Tianqi LU   

  1. College of Geo-exploration Science and Technology, Jilin University, Changchun 130021, China
  • Received:2016-03-28 Revised:2016-06-24 Online:2017-01-18 Published:2017-01-19

Abstract:

By regarding the moderate resolution imaging spectroradiometer (MODIS) remote sensing data as data sources and the southwest coastal waters of Hainan Island as the study area, the improved spilt-window algorithm is used to inverse the SST of the study area from 2005 to 2014. To verify the retrieval accuracy of the SST, we calculate the correlation coefficient between the inversion and measured results using the measured values of 12 observation points; the coefficient is 0.9. Based on the inversion results of SST, the data of four seasons in a year and a decade are analyzed to show the spatial and temporal variations of SST distribution, respectively. Results show that using the MODIS multi-channel improved spilt-window algorithm we can inverse Hainan Island offshore SST accurately. The spatial and temporal variations of SST distribution thus obtained can provide important reference values for marine fishery, change of marine environment and meteorological monitoring.

Key words: MODIS data, spilt-window algorithm, sea surface temperature, Hainan Island