大气与环境光学学报, 2018, 13 (4): 277, 网络出版: 2018-08-04
基于MODIS数据的海表温度反演
Sea Surface Temperature Retrieving Using MODIS Data
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.
魏寒艳, 崔生成, 杨世植, 赵强. 基于MODIS数据的海表温度反演[J]. 大气与环境光学学报, 2018, 13(4): 277. WEI Hanyan, CUI Shengcheng, YANG Shizhi, ZHAO Qiang. Sea Surface Temperature Retrieving Using MODIS Data[J]. Journal of Atmospheric and Environmental Optics, 2018, 13(4): 277.