Journal of Atmospheric and Environmental Optics ›› 2018, Vol. 13 ›› Issue (4): 277-284.

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Sea Surface Temperature Retrieving Using MODIS Data

WEI Hanyan1,2, CUI Shengcheng1, YANG Shizhi1, Zhao Qiang3   

  1. (1 Key Laboratory of Atmospheric Composition and Radiation, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China; 
    2 Science Island Branch of Graduate School, University of Science and Technology of China, Hefei 230022, China; 
    3 School of Environment and Energy Engineering, Anhui Jianzhu University, Hefei 230601, China)
  • Received:2017-04-21 Revised:2017-10-26 Online:2018-07-28 Published:2018-07-10
  • Contact: 杨世植(1963-),男,博士生导师,主要从事光学卫星遥感基础与技术、环境监测的光谱学方法和有害气体红外监测技术方面的研究。 E-mail:szyang@aiofm.ac.cn
  • About author:魏寒艳(1991-),女,安徽宿州人,硕士,主要从事光学遥感技术方面的研究。
  • Supported by:

    Supported by National Natural Science Foundation of China (国家自然科学基金, 41305019), Natural Science Foundation(安徽省自然科学基金, 1508085SQD208)

Abstract:

Sea surface temperature is of great significance in the ocean research. One way to obtained SST is through the retrieval of remote sensing data. How to construct EOS/MODIS data for retrieval of the SST based on the C# and IDL is described, the function of the software is discussed, the data process and details of the retrieval algorithms are given. Finally, taking the South China Sea as an example to compare the retrieval results with the observation data. The result shows that the linear correlation coefficient between the inversion results and the measured data is 0.91, and the standard error is 0.7°C. The inversion results are expected to provide reference for marine exploration.

Key words: sea surface temperature, split window algorithm, MODIS, retrieval software

CLC Number: