摘要
叶绿素a（Chl-a）含量是反映水体水质的重要参数之一,利用遥感技术监测其浓度具有众多优势.本研究利用2004年5-9月的吉林省新庙泡实测高光谱数据和实验室分析数据,建立了基于三波段的Chl-a浓度反演模型.该模型基于水体叶绿素a、悬浮物、溶解有机物、纯水的生物光学特性分析,优化组合了3个特征波长.结果表明用该方法建立的模型具有一定的物理基础,反演精度较高,其决定系数和均方根误差分别为0.8758、4.98μg.L^-1,适合于内陆水体Chl-a含量的定量提取.
Remote sensing has many advantages to assess Chlorophyll-a（Chl-a） concentrations. By in situ spectral and matching Chl-a contents measurement from May to September of 2004 in lake Xinmiao, Jilin province, a three-band model was erected to optimize band combination for accurate Chl-a estimation. The model was based on the optical properties of Chl-a, suspended sediments, chromatic dissolved organic carbon and pure water. Strong linear relationship was established between analytically measured Chl-a concentrations and estimated values. The results show that the model has physical foundation and high precision with high determination coefficient 0. 8758 and low root-mean-square error 4. 98μg · L^-1. The model has been proved to be a useful tool to assess Chl-a levels in inland waters.
出处
《红外与毫米波学报》
SCIE
EI
CAS
CSCD
北大核心
2008年第3期197-201,共5页
Journal of Infrared and Millimeter Waves
基金
中国科学院知识创新工程重要方向项目(KZCX3-SW-356)
国家自然科学基金(40401003,40371082)
中国科学院资源环境领域野外台站基金
中国科学院“东北之春”人才培养计划
中国科学院东北振兴科技行动计划重大项目资助
关键词
高光谱遥感
半分析模型
叶绿素A
新庙泡
hyperspectral remote sensing
semi-analytical model
chlorophyll-a
Lake Xinmiao
