Retrieval of three kinds of representative water quality parameters of Lake Taihu from hyperspectral remote sensing data

Abstract

以富营养化污染严重的太湖为研究区,设计并实施了2次太湖航空遥感综合实验,获取了太湖7条航带、冬夏两个时相的航空高光谱遥感图像;通过6次太湖地面试验,采集了多时相的太湖水体固有光学量和表观光学量数据,分析了它们的空间分布规律,建立了单位固有光学量数据库;面向叶绿素、悬浮物和黄色物质3种典型水质参数,发展了基于生物光学模型和单位固有光学量数据库的水质参数反演分析方法;利用航空高光谱遥感器WHI图像和航天高光谱遥感器CHRIS图像对这些方法进行了检验,获得了较好的水质参数图像反演结果.;Lake Taihu, which has been in serious eutrophic pollution status, was selected to be the study area. In Lake Taihu, two-time experiments of airborne hyperspectral remote sensing were carried out, covering seven airborne strips over Lake Taihu in both winter and summer. Besides of the two times of experiments, the in-situ inherent and apparent optical properties of Lake Taihu water were measured and analyzed for additional four times. The specific inherent optical property database of Lake Taihu was built. Based on the database and bio-optical model, analytical approaches were developed to retrieve chlorophyll, total suspended matter, and yellow substance. To validate these analytical approaches, airborne hyperspectral remote sensor WHI image and spaceborne hyperspectral remote sensor CHRIS image were used to retrieve water quality parameters, and the results were good