基于MODIS数据的多时相海表温度反演——以海南岛西南部近海海域为例

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

利用中分辨率成像光谱仪MODIS(moderate-resolution imaging spectroradiometer)遥感资料作为数据源,以海南岛西南部近海海域作为研究区,利用改进的分列窗算法对研究区海域2005—2014年多时相海表温度进行反演。利用海南岛西南部近海海域观测的12个观测点的实测海洋表面温度对反演温度结果进行精度验证,相关系数达到了0.9。选择一年内4个季度和10年内海表温度反演的结果,分别分析海表温度随季节与年度的时空变化分布。结果表明,利用MODIS多通道改进的分裂窗算法可以较精确地反演海南岛西南部近海海表温度,分析海表温度的时空变化可为海洋渔业、海洋环境变化及气象监测提供参考。

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 from2005to2014.To verify the retrieval accuracy of the SST,we calculate the correlation coefficient between the inversion and measured results using the measured values of12observation points;the coefficient is0.9.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.