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基于MODIS数据的海表温度反演

Sea Surface Temperature Retrieving Using MODIS Data

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【作者】 魏寒艳崔生成杨世植赵强

【Author】 WEI Hanyan;CUI Shengcheng;YANG Shizhi;ZHAO Qiang;Key Laboratory of Atmospheric Optics,Anhui Institute of Optics and Fine Mechanics,Chinese Academy of Sciences;University of Science and Technology of China;School of Environment and Energy Engineering,Anhui Jianzhu University;

【通讯作者】 杨世植;

【机构】 中国科学院安徽光学精密机械研究所中国科学院大气光学重点实验室中国科学技术大学安徽建筑大学环境与能源工程学院

【摘要】 海表温度(sea surface temperature,SST)对海洋科学的研究具有重要意义.通过卫星遥感反演是获得SST数据的方法之一.基于C#和IDL语言构建针对EOS/MODIS数据的海表温度反演软件,讨论软件的功能,同时给出具体的反演处理过程.最后以我国南海海域为例,将软件反演结果与实测数据对比.结果显示,反演结果与实测数据的线性相关系数约为0.91,标准误差约为0.7℃。反演结果以期对海洋开发探测提供参考.

【Abstract】 Sea surface temperature is of great significance in the ocean research. One way to obtain 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, and the data process and details of the retrieval algorithms are given. Finally, the South China Sea is taken 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℃. The inversion results are expected to provide reference for marine exploration.

【基金】 国家自然科学基金,41305019;安徽省自然科学基金,1508085SQD208~~
  • 【文献出处】 大气与环境光学学报 ,Journal of Atmospheric and Environmental Optics , 编辑部邮箱 ,2018年04期
  • 【分类号】P715.7
  • 【被引频次】1
  • 【下载频次】658
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