A Multiscale Mapping Assessment of Lake Champlain Cyanobacterial Harmful Algal Blooms.
A Multiscale Mapping Assessment of Lake Champlain Cyanobacterial Harmful Algal Blooms.
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DOI：
10.3390/ijerph120911560
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发表时间：
2015-09-15
影响因子：
--
通讯作者：
Corbiere M
中科院分区：
文献类型：
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作者：
Torbick N;Corbiere M
尚普兰湖的海湾正在经历慢性蓝藻有害藻华，对公共卫生构成威胁。需要开发监测和评估工具，以支持风险决策，并深入了解水华规模和强度。在这项研究应用中，获得了Landsat 8操作陆地成像仪（OLI），快速眼和Proba紧凑型高分辨率成像光谱仪（CHRIS）图像，同时进行了相应的实地活动，收集了现场测量的水质。包括经验波段比回归模型应用于地图叶绿素a和藻蓝蛋白浓度，所有传感器表现良好，R2和均方根误差（RMSE）范围分别为0.76至0.88和0.42至1.51。结果显示整个湖泊的空间格局，有问题的海湾藻蓝蛋白浓度>25微克/升。警报状态指标调整到当前的监测协议生成使用模拟水质，以说明如何遥感工具可以告知公共卫生监测系统。在本研究中使用的传感器中，Landsat 8 OLI最有希望提供广泛区域的曝光信息，考虑到分辨率、系统观测策略和免费成本。
Lake Champlain has bays undergoing chronic cyanobacterial harmful algal blooms that pose a public health threat. Monitoring and assessment tools need to be developed to support risk decision making and to gain a thorough understanding of bloom scales and intensities. In this research application, Landsat 8 Operational Land Imager (OLI), Rapid Eye, and Proba Compact High Resolution Imaging Spectrometer (CHRIS) images were obtained while a corresponding field campaign collected in situ measurements of water quality. Models including empirical band ratio regressions were applied to map chlorophyll-a and phycocyanin concentrations; all sensors performed well with R2 and root-mean-square error (RMSE) ranging from 0.76 to 0.88 and 0.42 to 1.51, respectively. The outcomes showed spatial patterns across the lake with problematic bays having phycocyanin concentrations >25 µg/L. An alert status metric tuned to the current monitoring protocol was generated using modeled water quality to illustrate how the remote sensing tools can inform a public health monitoring system. Among the sensors utilized in this study, Landsat 8 OLI holds the most promise for providing exposure information across a wide area given the resolutions, systematic observation strategy and free cost.