基于GOCI数据的绿潮覆盖面积精细化提取方法

Refined Extraction Method for Green Tide Coverage Area Based on GOCI Data

针对静止海洋水色卫星（geostationary ocean color imager,GOCI）数据空间分辨率较低、存在大量混合像元导致绿潮的覆盖面积偏大的问题,对GOCI数据大于NDVI（normalized difference vegetation index）阈值的像元进行混合像元分解得到绿潮（green tide）的覆盖面积,以16m分辨率高分一号提取的绿潮覆盖面积为＂真值＂,然后建立两者之间的关系模型,并对关系模型进行了验证。

In order to solve the problems of the low spatial solution of GOCI and the larger coverage area of green tide resultingfrom a large number of mixed pixels,we acquired green tide＇s covering area throughdecompositionof mixing pixelswhich threshold value is larger than NDVI,and established the relationship model between the two and validated itby setting the green tide＇s covering area extracted by GF-1（16 m）as＂true value＂.The experimental results suggested that the covering area extracted by the refined method,compared with traditional multi band ratio algorithm such as NDVI,was closer to the＂true value＂with an error of 7.2%.