ArticleThe Science of the total environment2023
Identifying lakes at risk of toxic cyanobacterial blooms using satellite imagery and field surveys across the United States.
Article in The Science of the total environment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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Who cites it
8 citing papers in PubMed, 27 citations in OpenAlex.
- National Aquatic Resource Surveys (NARS): the foundation for long-term aquatic monitoring data across the United States.Environmental monitoring and assessment · 2025Article
- Life Course Exposure to Cyanobacteria and Amyotrophic Lateral Sclerosis Survival.International journal of environmental research and public health · 2025Article
- Fire retardants are an overlooked source of phosphorus to western US ecosystems.ACS ES&T water · 2025Article
- Article
- Estimates of Lake Nitrogen, Phosphorus, and Chlorophyll-Earth's future · 2024Article
- Forecasting freshwater cyanobacterial harmful algal blooms for Sentinel-3 satellite resolved U.S. lakes and reservoirs.Journal of environmental management · 2024Article
- Sub-monthly time scale forecasting of harmful algal blooms intensity in Lake Erie using remote sensing and machine learning.The Science of the total environment · 2023Article
- Geographic Analysis of the Vulnerability of U.S. Lakes to Cyanobacterial Blooms under Future Climate.Earth interactions · 2023Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 2 countries.
Funding
Abstract
Harmful algal blooms caused by cyanobacteria are a threat to global water resources and human health. Satellite remote sensing has vastly expanded spatial and temporal data on lake cyanobacteria, yet there is still acute need for tools that identify which waterbodies are at-risk for toxic cyanobacterial blooms. Algal toxins cannot be directly detected through imagery but monitoring toxins associated with cyanobacterial blooms is critical for assessing risk to the environment, animals, and people. The objective of this study is to address this need by developing an approach relating satellite imagery on cyanobacteria with field surveys to model the risk of toxic blooms among lakes. The Medium Resolution Imaging Spectrometer (MERIS) and United States (US) National Lakes Assessments are leveraged to model the probability among lakes of exceeding lower and higher demonstration thresholds for microcystin toxin, cyanobacteria, and chlorophyll a. By leveraging the large spatial variation among lakes using two national-scale data sources, rather than focusing on temporal variability, this approach avoids many of the previous challenges in relating satellite imagery to cyanotoxins. For every satellite-derived lake-level Cyanobacteria Index (CI_cyano) increase of 0.01 CI_cyano/km
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.