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出 处:《成都理工大学学报(自然科学版)》2011年第1期54-58,共5页Journal of Chengdu University of Technology: Science & Technology Edition
基 金:国家科技支撑计划项目(2006BAJ10B06);国家自然科学基金资助项目(60841006);四川省科技支撑计划项目(2008SZ0147)
摘 要:为监测江苏省常熟市昆承湖的水质状况,以2009年5月在湖区实测的ASD高光谱遥感数据和实验室的分析数据为依据,采用三波段半分析模型估算叶绿素a的浓度。结果表明,三波段法比归一化实测光谱波段比法、实测光谱一阶微分法的估算精度更高。三波段法通过分析叶绿素a、悬浮物、黄色物质、纯水的固有光学特性,优化这三个特征波段的位置组合,能够提高叶绿素a浓度的估算精度。Based on the remote sensing hyperspectral reflectance measured in the Kuncheng Lake of Jiangsu in May,2009 and concurrent chlorophyll-a(Chl-a) concentration assayed in the lab,a three-band model(semi-analytical method) is used to estimate the concentration of chlorophyll-a to monitor the water quality of the Kuncheng Lake located in Changshu City,Jiangsu Province.Compared with the estimating results by the band ratio method based on normalized spectrum and the first derivative method,the results shows that the estimating result by the three-band model is more exactly.The three-band model can improve the estimation accuracy for Chl-a by analyzing the inherent optical properties of the chlorophyll-a,the total suspended matter,the CDOM and the pure water and optimizing the choice of the three bands.
分 类 号:X830.3[环境科学与工程—环境工程]
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