ArticleInternational journal of environmental research and public health2015
A Multiscale Mapping Assessment of Lake Champlain Cyanobacterial Harmful Algal Blooms.
Article in International journal of environmental research and public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
5 citing papers in PubMed.
- Expanding the Application of Sentinel-2 Chlorophyll Monitoring across United States Lakes.Remote sensing · 2024Article
- Applications of Space Technologies to Global Health: Scoping Review.Journal of medical Internet research · 2018Article
- Assessing Cyanobacterial Harmful Algal Blooms as Risk Factors for Amyotrophic Lateral Sclerosis.Neurotoxicity research · 2018Article
- BMAA and Neurodegenerative Illness.Neurotoxicity research · 2018Review
- Predictive performance of regression models to estimate Chlorophyll-a concentration based on Landsat imagery.PloS one · 2018Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
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 chlorophylla 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.
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Registered trials
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