针对利用光学遥感卫星进行近岸海域海表盐度的高精度反演需求,基于多元统计回归分析思想构建研究区海洋盐度反演模型,以巴拉望岛附近海域为研究区,分别以MERIS卫星和MODIS卫星影像为基础数据,对该海域的海表盐度进行反演,并利用实测Argo数据对反演结果进行精度评定和对比分析,剖析了研究区海水盐度的时空分布规律.结果表明:1)MERIS和MODIS 2种数据反演误差分别为-2.94％和1.86％,反演模型的相关系数R2达到0.79,表明2种数据反演结果的精度较高,模型适用性较强;2)相比之下,MODIS数据反演效果优于MERIS数据;3)研究区域的海表盐度发生着季节性的变化,并且呈现出自西向东逐渐增加的趋势,这种现象可能与研究区气候、温度变化以及所处地理位置有内在联系.%In response to the need of inversing the sea surface salinity in coastal area with high precision,this paper builds a salinity inversion model based on multivariate statistical regression analysis,and inverses the salinity of the waters near Palawan Island by using the MERIS and MODIS satellite imagery,respectively.Then,the accuracy of the inversion results is compared with the measured Argo data,and the spatio-temporal distribution of salinity in the study area is analyzed.It shows that:1)the inversion errors of MERIS and MODIS data are-2.94％ and 1.86％,respectively,showing a higher precision of the model.Meanwhile,the correlation coefficient R2 of 0.79 indicates a strong applicability of the inversion model.2)By comparison,the inversion effect of MODIS data is better than that of MERIS data.3)The sea surface salinity of the study area exists an obvious seasonal variation,presenting a trend of increasing from the west to the east,possibly resulting from the climate change,temperature change,and the geographical location of the study area.
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