利用MERIS产品数据反演太湖叶绿素a浓度研究

Monitoring Chlorophyll-a Concentration in Taihu Lake Based on MERIS Data

第三代水色传感器MERIS的荧光通道的合理设置为荧光遥感法的应用提供了广阔的发展前景。利用MERIS数据、同步地面光谱和水质监测数据,分别通过基线荧光高度(FLH)、归一化荧光高度(NFH)和最大叶绿素指数(MCI)建立了太湖叶绿素a浓度的荧光遥感估算模型。结果表明:MERIS荧光参数中最大叶绿素指数(MCI)较基线荧光高度(FLH)更适合太湖水体叶绿素a浓度的反演;归一化荧光高度(NFH)与实测叶绿素a浓度间的拟合效果最好。最后选取NFH进行MERIS荧光遥感模型的太湖叶绿素a浓度的反演,其结果客观地反映了太湖水体叶绿素a浓度的空间分布格局。

Remote sensing is a very effective means to monitor water pollution in large areas. MERIS,the 3rd-generation water color sensor, which has several reasonable fluorescence channels and provides a broad prospect for fluorescence remote sensing applications. Based on MERIS data, synchronous ground-based hyperspectral data and water quality monitoring data, the fluorescence remote sensing models were developed between chlorophyll-a concentration and fluorescence line height, normalized fluorescence height and maximum chlorophyll index, respectively. The result showed that the maximum chlorophyll index （MCI） was more suitable for the estimation of chlorophyll-a concentration in the water body of Taihu Lake than the fluorescence line height （FLH） in the inversion analysis for the estimation of chlorophyll-a concentration using MERIS fluorescence parameters, and the normalized fluorescence height （NLHR681/R66s ） had the best fit with the measured chlorophyll-a concentration. Finally, NLH was selected to inverse the spatial distribution of ehlorophyll-a concentration using MERIS fluorescence remote sensing model, and the result objectively reflected the spatial distribution pattern of chlorophyll-a concentration in Taihu Lake.