西北太平洋海水透明度遥感反演与融合方法

发布时间：2018-04-29 04:40

本文选题：海水透明度 + 遥感反演方法　；参考：《中国海洋大学学报(自然科学版)》2016年12期

【摘要】：海水透明度是描述海水光学特性的一个重要参数。论文首先利用现场测量的遥感反射率和透明度数据建立了西北太平洋的透明度遥感反演模型,并应用于Seawifs、MODIS-aqua、MOIDS-terra及MERIS Level 2反射率数据,获取西北太平洋的透明度数据。然后将平均法、最优插值法2种融合方法分别应用于上述4颗卫星的透明度数据进行数据融合,并用现场测量的同步透明度数据对融合后的产品进行了印证。另外,利用2种融合方法分别对西北太平洋2007年Seawifs、MODIS-aqua、MODIS-terra和MERIS4颗传感器的透明度数据进行了月融合,分析了融合的西北太平洋的时空分布特征。研究结果表明,融合数据大幅度提高了空间覆盖率,并具有较高可信度。平均法和最优插值法两种融合方法性能有较大的不同,平均法对细节特征保留的较好,且具有较高的运行速度,但有时空间覆盖率仍不能满足要求;最优插值法具有高的空间覆盖率,但其运行速度较慢。
[Abstract]:Sea water transparency is an important parameter to describe the optical properties of seawater. In this paper, the remote sensing reflectance and transparency data measured in the field are used to establish the transparency remote sensing inversion model of the Northwest Pacific Ocean. The model is applied to the Seawifsm MODIS-aqua MOIDS-terra and MERIS Level 2 reflectance data to obtain the transparency data of the Northwest Pacific Ocean. Then, the average method and the optimal interpolation method are applied to the data fusion of the transparency data of the four satellites mentioned above, and the product is verified by the synchronized transparency data measured in the field. In addition, two fusion methods were used to fuse the transparency data of Seawifsler MODIS-terra and MERIS4 sensors in the Northwest Pacific in 2007, and the temporal and spatial distribution characteristics of the fused Northwest Pacific were analyzed. The results show that the fusion data greatly improves the spatial coverage and has a high reliability. The performance of the average method and the optimal interpolation method are quite different. The average method can preserve the detail features better and has a higher running speed, but sometimes the space coverage still can not meet the requirements. The optimal interpolation method has high space coverage, but its running speed is slow.
【作者单位】：中国海洋大学信息科学与工程学院;
【分类号】：P722;;P715

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