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引用本文:张兵,申茜,李俊生,张浩,吴迪.太湖水体3种典型水质参数的高光谱遥感反演.湖泊科学,2009,21(2):182-192. DOI:10.18307/2009.0205
ZHANG Bing,SHEN Qian,LI Junsheng,ZHANG Hao,WU Di.Retrieval of three kinds of representative water quality parameters of Lake Taihu from hyperspectral remote sensing data. J. Lake Sci.2009,21(2):182-192. DOI:10.18307/2009.0205
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太湖水体3种典型水质参数的高光谱遥感反演
张兵1, 申茜2, 李俊生1, 张浩2, 吴迪1
1.中国科学院对地观测与数字地球科学中心, 北京 100080;2.中国科学院遥感应用研究所, 北京 100101
摘要:
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.
关键词:  太湖  水质参数  高光谱遥感  分析方法  固有光学量  表观光学量
DOI:10.18307/2009.0205
分类号:
基金项目:中国科学院知识创新重大项目(KZCX1-YW-14-2);国家863项目(2007AA12Z138)联合资助
Retrieval of three kinds of representative water quality parameters of Lake Taihu from hyperspectral remote sensing data
ZHANG Bing1, SHEN Qian2, LI Junsheng1, ZHANG Hao2, WU Di1
1.Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing 100080, P. R. China;2.Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, P. R. China
Abstract:
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
Key words:  Lake Taihu  water quality parameters  hyperspectral remote sensing  analytical approach  inherent optical property  apparent optical property
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