A web-based application tool utilizing satellite data—CyANWeb—developed through collaborative interagency efforts was released as part of the Cyanobacteria Assessment Network (CyAN) to help Federal, State, Tribal, and local partners identify when cyanobacterial blooms may be forming. Available through a web browser or as an application, the tool can access, download, and provide data to notify users based on specific changes in the color of the water in more than 2,000 of the largest lakes and reservoirs across the United States. This capability provides information on where cyanobacterial blooms could result in human and wildlife exposure.
Although cyanobacteria, also called blue green algae, are present naturally in many water bodies, they can produce toxins that can become an environmental and public health issue. The exposure to toxins in water sources can increase drinking water treatment costs and affect recreational use and wildlife health. Potential health risks associated with the toxins produced by cyanobacteria include gastrointestinal distress, dermatitis, respiratory failure, and liver failure. Historically, monitoring cyanobacteria blooms has been labor intensive and limited owing to cost, time, and logistical constraints.
Scientists are developing tools to visualize blooms in lakes and reservoirs to help prioritize areas for monitoring of toxins and safeguard human, wildlife, companion animal, and livestock. The Cyanobacteria Assessment Network (CyAN) is a multi-agency project that uses satellite data to measure and ultimately provide early warnings for cyanobacteria blooms in U.S. lakes and reservoirs. The U.S. Geological Survey (USGS) Environmental Health Program's Toxins and Harmful Algal Blooms Science Team collaborated with the U.S. Environmental Protection Agency (EPA), National Aeronautics and Space Administration (NASA), and National Oceanic and Atmospheric Administration (NOAA) to develop the research supporting the web application—Cyanobacteria Assessment Network Application (CyANWeb app). The CyAN app is available in web-based and mobile applications.
The CyANWeb app makes satellite data more accessible to water resource managers, water purveyors, communities, and anyone interested in knowing more about cyanobacterial blooms in their area water bodies. CyANWeb uses historical and current satellite data to develop daily and weekly images that can serve as an early warning system for the spatial extent and magnitude of cyanobacterial blooms and help identify areas for further testing. The tool is publicly available and can be used to view cyanobacteria blooms in more than 2,000 U.S. lakes and reservoirs based on the European Space Agency’s MERIS and Sentinel-3A and Sentinel-3B satellite Ocean and Land Color Instrument sensors.
This tool is a culmination of more than 6 years of interagency collaboration and is currently being used by Federal agencies, State agencies, and Tribes to assist with monitoring activities. The CyAN Team has taken a stepwise approach to build the capacity now available in CyANWeb. The CyAN Team has also developed separate national bloom frequency metrics in satellite observable lakes and reservoirs and near drinking water intakes and has estimated the potential economic value of measuring chlorophyll-a by satellites.
Ongoing tool development by the CyAN Team includes improvements in spatial extent and support development of predictive capabilities to identify cyanobacterial blooms. The USGS has a role in ground-to-space validation in vulnerable ecosystems and for water resources used for drinking water or recreation that are of particular concern for human health exposure. The USGS also has the capabilities to provide information to understand the limitations of the satellite data across different surface water quality types including lakes, reservoirs, and wetlands to improve interpretation of the satellite data. These comparisons are critical as we transition research tools to operational status and verify their use for different applications.
CyAN has been supported by NASA Ocean Biology and Biogeochemistry Program and Applied Sciences Program funding and in-kind contributions from each respective agency. The USGS Environmental Health Program Toxins and Harmful Algal Bloom Research Team has been a partner in this effort since its inception. Ground-to-space validation efforts have been supported by USGS Water Mission Area Harmful Algal Bloom Cooperative Matching Funds. These validation efforts are informing the transition from research to applied uses and are done in cooperation with local partners.
Related science is listed below.
Understanding Drivers of Cyanotoxin Production in the Lake Okeechobee Waterway
Understanding Associations between Mussel Productivity and Cyanotoxins in Lake Erie
New Method Developed to Quantify Spatial Extent of Cyanobacterial Blooms
Satellite Imagery Used to Measure Algal Bloom Frequency—Steps Toward Understanding Exposure Risk
Cyanobacteria from 2016 Lake Okeechobee Harmful Algal Bloom Photo-Documented
Evaluating Linkages Between Algal Toxins and Human Health
Below are publications associated with this project.
Assessing cyanobacterial frequency and abundance at surface waters near drinking water intakes across the United States
Satellite remote sensing to assess cyanobacterial bloom frequency across the United States at multiple spatial scales
Evaluation of a satellite-based cyanobacteria bloom detection algorithm using field-measured microcystin data
- Overview
A web-based application tool utilizing satellite data—CyANWeb—developed through collaborative interagency efforts was released as part of the Cyanobacteria Assessment Network (CyAN) to help Federal, State, Tribal, and local partners identify when cyanobacterial blooms may be forming. Available through a web browser or as an application, the tool can access, download, and provide data to notify users based on specific changes in the color of the water in more than 2,000 of the largest lakes and reservoirs across the United States. This capability provides information on where cyanobacterial blooms could result in human and wildlife exposure.
Although cyanobacteria, also called blue green algae, are present naturally in many water bodies, they can produce toxins that can become an environmental and public health issue. The exposure to toxins in water sources can increase drinking water treatment costs and affect recreational use and wildlife health. Potential health risks associated with the toxins produced by cyanobacteria include gastrointestinal distress, dermatitis, respiratory failure, and liver failure. Historically, monitoring cyanobacteria blooms has been labor intensive and limited owing to cost, time, and logistical constraints.
Algal bloom in Milford Lake near Wakefield, Kansas. Water samples are collected from the lake to make comparisons with satellite data collected remotely. U.S. Geological Survey gage 391259097001800 is located on the bridge where image was taken (Credit: Justin Abel, USGS. Public domain). Scientists are developing tools to visualize blooms in lakes and reservoirs to help prioritize areas for monitoring of toxins and safeguard human, wildlife, companion animal, and livestock. The Cyanobacteria Assessment Network (CyAN) is a multi-agency project that uses satellite data to measure and ultimately provide early warnings for cyanobacteria blooms in U.S. lakes and reservoirs. The U.S. Geological Survey (USGS) Environmental Health Program's Toxins and Harmful Algal Blooms Science Team collaborated with the U.S. Environmental Protection Agency (EPA), National Aeronautics and Space Administration (NASA), and National Oceanic and Atmospheric Administration (NOAA) to develop the research supporting the web application—Cyanobacteria Assessment Network Application (CyANWeb app). The CyAN app is available in web-based and mobile applications.
The CyANWeb app makes satellite data more accessible to water resource managers, water purveyors, communities, and anyone interested in knowing more about cyanobacterial blooms in their area water bodies. CyANWeb uses historical and current satellite data to develop daily and weekly images that can serve as an early warning system for the spatial extent and magnitude of cyanobacterial blooms and help identify areas for further testing. The tool is publicly available and can be used to view cyanobacteria blooms in more than 2,000 U.S. lakes and reservoirs based on the European Space Agency’s MERIS and Sentinel-3A and Sentinel-3B satellite Ocean and Land Color Instrument sensors.
Sattelite reflectance data accessed using the CyANWeb app. The image shows the 7-day maximum reflectance from July 25, 2021 – July 31, 2021 for Milford Lake near Wakefield, Kansas. Warmer colors (red, orange, and yellow) indicate greater relative cyanobacteria abunance compated to the cooler colors (blue and green) (Credit: Cyanobacteria Assessment Network, 2021). This tool is a culmination of more than 6 years of interagency collaboration and is currently being used by Federal agencies, State agencies, and Tribes to assist with monitoring activities. The CyAN Team has taken a stepwise approach to build the capacity now available in CyANWeb. The CyAN Team has also developed separate national bloom frequency metrics in satellite observable lakes and reservoirs and near drinking water intakes and has estimated the potential economic value of measuring chlorophyll-a by satellites.
Ongoing tool development by the CyAN Team includes improvements in spatial extent and support development of predictive capabilities to identify cyanobacterial blooms. The USGS has a role in ground-to-space validation in vulnerable ecosystems and for water resources used for drinking water or recreation that are of particular concern for human health exposure. The USGS also has the capabilities to provide information to understand the limitations of the satellite data across different surface water quality types including lakes, reservoirs, and wetlands to improve interpretation of the satellite data. These comparisons are critical as we transition research tools to operational status and verify their use for different applications.
CyAN has been supported by NASA Ocean Biology and Biogeochemistry Program and Applied Sciences Program funding and in-kind contributions from each respective agency. The USGS Environmental Health Program Toxins and Harmful Algal Bloom Research Team has been a partner in this effort since its inception. Ground-to-space validation efforts have been supported by USGS Water Mission Area Harmful Algal Bloom Cooperative Matching Funds. These validation efforts are informing the transition from research to applied uses and are done in cooperation with local partners.
- Science
Related science is listed below.
Understanding Drivers of Cyanotoxin Production in the Lake Okeechobee Waterway
The U.S. Geological Survey (USGS) and other researchers combined field and laboratory approaches in two studies to understand the factors that drive cyanobacterial bloom development and associated cyanotoxin production in Lake Okeechobee, the St. Lucie River and Estuary, and the Indian River Lagoon in response to the large-scale Lake Okeechobee cyanobacteria bloom in 2016.Understanding Associations between Mussel Productivity and Cyanotoxins in Lake Erie
Study findings indicate that cyanobacteria and cyanotoxins were not associated with mussel mortality at the concentrations present in Lake Erie during a recent study (2013-15), but mussel growth was lower at sites with greater microcystin concentrations.New Method Developed to Quantify Spatial Extent of Cyanobacterial Blooms
This study provides a method for quantifying changes in the spatial extent of cyanobacterial blooms at local and regional scales using remotely sensed data to determine if bloom occurrence and size are increasing or decreasing for inland water resources.Satellite Imagery Used to Measure Algal Bloom Frequency—Steps Toward Understanding Exposure Risk
Study explores the utility and limitations of currently available remotely sensed satellite data for identifying the frequency of algal blooms in the Nation's lakes and reservoirs. This information provides a first step toward the goal of understanding exposure risk to protect the health of humans, pets, livestock, and wildlife.Cyanobacteria from 2016 Lake Okeechobee Harmful Algal Bloom Photo-Documented
New report provides photographic documentation and identification of the cyanobacteria present in Lake Okeechobee, the Caloosahatchee River, and St. Lucie Canal during an extensive algal bloom in 2016.Evaluating Linkages Between Algal Toxins and Human Health
The amino acid β-methylamino-L-alanine (BMAA) is produced by cyanobacteria and has been suggested by human health researchers as a causal factor for degenerative neurological diseases such as Amyotrophic Lateral Sclerosis (ALS), Parkinsonism, and dementia. An objective review concluded that this hypothesis is not supported by existing data. - Publications
Below are publications associated with this project.
Assessing cyanobacterial frequency and abundance at surface waters near drinking water intakes across the United States
This study presents the first large-scale assessment of cyanobacterial frequency and abundance of surface water near drinking water intakes across the United States. Public water systems serve drinking water to nearly 90% of the United States population. Cyanobacteria and their toxins may degrade the quality of finished drinking water and can lead to negative health consequences. Satellite imageryAuthorsMegan Coffer, Blake A. Schaeffer, Katherine Foreman, Alex Porteous, Keith Loftin, Richard Stumpf, Jeremy Werdell, Erin Urquhart, Ryan Albert, John DarlingSatellite remote sensing to assess cyanobacterial bloom frequency across the United States at multiple spatial scales
Cyanobacterial blooms can have negative effects on human health and local ecosystems. Field monitoring of cyanobacterial blooms can be costly, but satellite remote sensing has shown utility for more efficient spatial and temporal monitoring across the United States. Here, satellite imagery was used to assess the annual frequency of surface cyanobacterial blooms, defined for each satellite pixel asAuthorsMegan M. Coffer, Blake Schaeffer, Wilson B. Salls, Erin Urquhart, Keith Loftin, Richard P. Stumpf, P. Jeremy Werdell, John A. DarlingEvaluation of a satellite-based cyanobacteria bloom detection algorithm using field-measured microcystin data
Widespread occurrence of cyanobacterial harmful algal blooms (CyanoHABs) and the associated health effects from potential cyanotoxin exposure has led to a need for systematic and frequent screening and monitoring of lakes that are used as recreational and drinking water sources. Remote sensing-based methods are often used for synoptic and frequent monitoring of CyanoHABs. In this study, one such aAuthorsSachidananda Mishra, Richard P. Stumpf, Blake Schaeffer, P. Jeremy Werdell, Keith Loftin, Andrew Meredith