摘要
为实现淀山湖水体叶绿素a的快速监测,于2006年春季对淀山湖进行了现场光谱测量和同步的采样、实验室分析,通过分析叶绿素a和光谱数据之间的关系,建立了多个基于高光谱数据的叶绿素a浓度的估算模型。结果表明:利用归一化反射率建立的模型中精度最高的是采用708 nm反射率的一元二次模型,R2为0.608;利用R710nm/R667nm反射比建立模型精度得到提高,R2接近0.68;利用695.5 nm一阶微分建立的指数模型精度进一步提高,其R2达到了0.76;分别利用708 nm和667 nm的归一化反射率对数作自变量进行多元回归得到的模型精度最高,R2接近0.8,可以用来实现对叶绿素a的定量估算,实现叶绿素a的快速监测。
In order to develop a fast way for monitoring chlorophyll-a concentration in Lake Dianshan of Shanghai, the reflection spectra in spring of 2006 was measured with simultaneous sampling and analysis, and the correlation between chlorophyll-a concentration and reflection spectra was studied on the basis of different chlorophyll-a algorithms. The accuracy of the linear algorithm using the normalized reflectance is not high （R^2〈0. 6）. The relationship between chlorophyll-a concentration and the band-ratios R708/R667 can improve the accuracy （R^2=0.68）. The exponential algorithm between chlorophyll-a concentration and the first order differential of the reflectance at 695.5 nm is good （R^2=0.76）. Multivariate regression models with the normalized reflectance at 708 nm and 607 nm and their logarithm were also established with a higher accuracy, and the best model was achieved with ＂the logarithm at 708 nm and 607 nm （R^2=0.8）. The present study thus demonstrated the potential of monitoring chlorophyll-a concentration by using hyper-spectral remote sensing technology in inland waterbody.
出处
《长江流域资源与环境》
CAS
CSSCI
CSCD
北大核心
2007年第1期48-51,共4页
Resources and Environment in the Yangtze Basin
基金
上海市科学技术委员会"遥感技术在黄浦江上游生态环境监测中的应用研究"(04DZ12028)重大科技攻关项目
关键词
高光谱遥感
叶绿素A
水质监测
淀山湖
hyper-spectral remote sensing
chlorophyll-a
water quality monitoring
Lake Dianshan
