ArticleEcological indicators2022
Satellites quantify the spatial extent of cyanobacterial blooms across the United States at multiple scales.
Article in Ecological indicators, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Statewide Intensification of Harmful Algal Blooms Across California Lakes and Reservoirs.GeoHealth · 2026Article
- Airborne Algae and Cyanobacteria Originating from Lakes: Formation Mechanisms, Influencing Factors, and Potential Health Risks.Microorganisms · 2025Review
- Effective Nutrient Management of Surface Waters in the United States Requires Expanded Water Quality Monitoring in Agriculturally Intensive Areas.ACS environmental Au · 2025Review
- National forecasting of cyanobacterial harmful algal bloom events: a three-year model evaluation.Lake and reservoir management · 2025Article
- Article
- Satellite Remote Sensing: A Tool to Support Harmful Algal Bloom Monitoring and Recreational Health Advisories in a California Reservoir.GeoHealth · 2024Article
- Forecasting freshwater cyanobacterial harmful algal blooms for Sentinel-3 satellite resolved U.S. lakes and reservoirs.Journal of environmental management · 2024Article
- Recent changes in cyanobacteria algal bloom magnitude in large lakes across the contiguous United States.The Science of the total environment · 2023Article
- Article
- Harmful algal bloom aerosols and human health.EBioMedicine · 2023Review
- Identifying lakes at risk of toxic cyanobacterial blooms using satellite imagery and field surveys across the United States.The Science of the total environment · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Previous studies indicate that cyanobacterial harmful algal bloom (cyanoHAB) frequency, extent, and magnitude have increased globally over the past few decades. However, little quantitative capability is available to assess these metrics of cyanoHABs across broad geographic scales and at regular intervals. Here, the spatial extent was quantified from a cyanobacteria algorithm applied to two European Space Agency satellite platforms-the MEdium Resolution Imaging Spectrometer (MERIS) onboard Envisat and the Ocean and Land Colour Instrument (OLCI) onboard Sentinel-3. CyanoHAB spatial extent was defined for each geographic area as the percentage of valid satellite pixels that exhibited cyanobacteria above the detection limit of the satellite sensor. This study quantified cyanoHAB spatial extent for over 2,000 large lakes and reservoirs across the contiguous United States (CONUS) during two time periods: 2008-2011 via MERIS and 2017-2020 via OLCI when cloud-, ice-, and snow-free imagery was available. Approximately 56% of resolvable lakes were glaciated, 13% were headwater, isolated, or terminal lakes, and the rest were primarily drainage lakes. Results were summarized at national-, regional-, state-, and lake-scales, where regions were defined as nine climate regions which represent climatically consistent states. As measured by satellite, changes in national cyanoHAB extent did have a strong increase of 6.9% from 2017 to 2020 (|Kendall's
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