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作 者:巩彩兰[1] 周颖[1] 尹球[2] 匡定波[1] 陈利雄[1,3] 胡勇[1]
机构地区:[1]中科院上海技术物理研究所,上海200083 [2]上海市卫星遥感与测量应用中心,上海200010 [3]上海海事大学,上海201306
出 处:《遥感信息》2011年第6期42-46,共5页Remote Sensing Information
摘 要:对2008年5月到2009年5月采集的太湖水体反射光谱数据进行了异常数据检测、归一化等预处理后,计算了常用于叶绿素浓度反演的特征参量,包括荧光峰高度、荧光面积、特征波段比值、反射率微分;并分析建立了这些特征参量与对应叶绿素浓度的相关模型。研究表明:荧光面积、特征波段比值等与实测叶绿素浓度具有较好的相关性,而蓝绿光波段反射率比值对内陆水体叶绿素浓度反映不明显。湖泊水体的光学特征能够较好反映蓝藻的不同生长状态,太湖蓝藻随时间变化的规律大致可分为5月~11月,12月~4月两个阶段。本研究结果可为湖泊水体富营养化高光谱遥感监测的波段选择提供参考。Reflectance spectra data and water quality parameters were measured in Lake Taihu from May 2008 to May 2009.After anomaly detection,normalization and other pretreatment,several parameters used commonly in retrieval of chlorophyll concentration were calculated,including the height of fluorescence peak,area of the fluorescence curve,ratio of characteristic bands and derivative of reflectance spectra.The correlation models between these parameters and the chlorophyll concentration were established and analyzed.The study indicated that both the area of the fluorescence curve and the ratio of characteristic bands had a good correlation with the chlorophyll-a concentration but the blue-green band ratio did not work as well as in ocean.To some extent,the optical characteristics of lake water could reflect different growth state of the algae.The growth state of cyanophytes can be divided into two phases that one is from May to November and the other is from December to the next April in Lake Taihu.The study is valuable for band selection in lake eutrophication monitoring with hyper-spectral remote sensing data.
分 类 号:X122[环境科学与工程—环境科学]
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