ArticleScientific reports2019
Measurement of Cyanobacterial Bloom Magnitude using Satellite Remote Sensing.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.
What it found
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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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
35 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- A Review of the Effects of Freshwater Habitat Quality on Aquatic & Semi-Aquatic Turtles.Ecology and evolution · 2026Review
- Hierarchical feature alignment for cross-view geo-localization.Scientific reports · 2026Article
- Statewide Intensification of Harmful Algal Blooms Across California Lakes and Reservoirs.GeoHealth · 2026Article
- Algal Blooms in Lakes Increase After Wildfire Smoke Events in the Contiguous United States.Global change biology communications · 2026Article
- Metagenomes from cyanobacterial harmful algal blooms from lakes in Ohio (USA).Microbiology resource announcements · 2025Article
- CyanoHABs and CAPs: assessing community-based monitoring of PMEnvironmental science: atmospheres · 2025Article
- Application of dinoflagellate-specific satellite models to aid Alexandrium catenella bloom monitoring in the Bering and Chukchi seas.Journal of environmental management · 2025Article
- Characterization of Phytoplankton Composition in Lake Maggiore: Integrated Chemotaxonomy for Enhanced Cyanobacteria Detection.Microorganisms · 2024Article
- Underway measurement of cyanobacterial microcystins using a surface plasmon resonance sensor on an autonomous underwater vehicle.Limnology and oceanography, methods · 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
- Recent changes in cyanobacteria algal bloom magnitude in large lakes across the contiguous United States.The Science of the total environment · 2023Article
- Understanding the Risks of Diffusion of Cyanobacteria Toxins in Rivers, Lakes, and Potable Water.Toxins · 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
- Satellite andJournal of hydrology · 2023Article
- Cyanobacterial Algal Bloom Monitoring: Molecular Methods and Technologies for Freshwater Ecosystems.Microorganisms · 2023Review
- Article
- Regime shifts, trends, and variability of lake productivity at a global scale.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Paths to research-driven decision making in the realms of environment and water.Technology in society · 2022Article
- Satellites quantify the spatial extent of cyanobacterial blooms across the United States at multiple scales.Ecological indicators · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cyanobacterial harmful algal blooms (cyanoHABs) are a serious environmental, water quality and public health issue worldwide because of their ability to form dense biomass and produce toxins. Models and algorithms have been developed to detect and quantify cyanoHABs biomass using remotely sensed data but not for quantifying bloom magnitude, information that would guide water quality management decisions. We propose a method to quantify seasonal and annual cyanoHAB magnitude in lakes and reservoirs. The magnitude is the spatiotemporal mean of weekly or biweekly maximum cyanobacteria biomass for the season or year. CyanoHAB biomass is quantified using a standard reflectance spectral shape-based algorithm that uses data from Medium Resolution Imaging Spectrometer (MERIS). We demonstrate the method to quantify annual and seasonal cyanoHAB magnitude in Florida and Ohio (USA) respectively during 2003-2011 and rank the lakes based on median magnitude over the study period. The new method can be applied to Sentinel-3 Ocean Land Color Imager (OLCI) data for assessment of cyanoHABs and the change over time, even with issues such as variable data acquisition frequency or sensor calibration uncertainties between satellites. CyanoHAB magnitude can support monitoring and management decision-making for recreational and drinking water sources.
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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.