基于GOCI的浑浊水体大气校正修复方法——以太湖为例

Atmospheric correction and repair method for turbid water body based on GOCI:take Taihu Lake as an example

浑浊水体的大气校正一直是水色遥感研究的热点与难点.该文以GOCI数据为基础,以太湖为研究区域,提出了最佳像素范围半径内的大气校正修复方法,修复了在浑浊水体无法获取有效的大气校正结果的问题,利用修复的大气校正结果,建立了归一化叶绿素a指数(NDCI),并反演得到了未修复和修复后的NDCI.结果表明,在未修复和修复后的相交区域,NDCI具有较高的一致性,平均相对误差小于1.2%,说明该大气校正修复方法能有效修复大气校正失败区域.

Atmospheric correction of turbid water has been a hot and difficult point in the research of remote sensing of water color.Based on GOCI(Geostationary Ocean Color Imager)data and with the Taihu Lake as the research area,an atmospheric correction and repair method within the optimal pixel range radius is proposed.The problem of not being able to obtain effective atmospheric correction results in turbid water bodies.Using the corrected atmospheric correction results,a normalized chlorophyll a index(NDCI)was established,and the unrepaired and repaired NDCIwere obtained by inversion.The results show that The NDCI has high consistency after the repair and the intersecting area,and the average relative error is less than 1.2%,which indicates the feasibility of this atmospheric correction repair method.