This dataset shows the concentration of cyanobacteria cells/ml in fresh water bodies and estuaries of the Ohio and Florida derived from 300x300 meter MEdium Resolution Imaging Spectrometer (MERIS) satellite imagery. This dataset was produced through partnership with the National Oceanic and Atmospheric Administration (NOAA), the National Aeronautics and Space Administration (NASA), the United States Geological Survey (USGS), and the United States Environmental Protection Agency (USEPA). This cyanobacteria dataset was derived using the European Space Agency (ESA) Envisat satellite and MERIS instrument. MERIS is a 68.5 degree field-of-view nadir-pointing imaging spectrometer which measures the solar radiation reflected by the Earth in 15 spectral bands (visible and near-infrared). MERIS imagery was used to identify long-wavelength spectral bands (from red through near-infrared portion of the spectrum) to locate algal blooms within freshwaters and estuaries of the continental United States. This dataset is not publicly accessible because: The dataset describing locations of surface drinking water intakes was obtained through Office of Water's Office of Ground Water and Drinking Water. This dataset is not publicly available for security reasons. While location data were used in our analysis, no intake locations were revealed and data were handled according to security specifications provided by OW. This dataset will therefore not be made available to the public through ScienceHub or any other outlet. It can be accessed through the following means: Contact corresponding author for additional information. Format: Assessing temporal frequency of cyanobacterial blooms at drinking water intakes using imagery from the Sentinel-3A satellite sensor. This dataset is associated with the following publication: Clark, J., B. Schaeffer, J. Darling, E. Urquhart, J. Johnston, A. Ignatius, M. Myer, K. Loftin, J. Werdell, and R. Stumpf. Satellite monitoring of cyanobacterial harmful algal bloom frequency in recreational waters and drinking water sources. ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 80: 84-95, (2017).

ESA Envisat MERIS 300mx300m raster ocean color data using cyanobacteria index (CI) algorithm. This dataset is associated with the following publication: Coffer, M., B. Schaeffer, J. Darling, E. Urquhart, and W. Salls. Quantifying national and regional cyanobacterial occurrence in US lakes using satellite remote sensing. ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 111: 105976, (2020).

This dataset shows the concentration of cyanobacteria cells/ml in fresh water bodies and estuaries of the Ohio and Florida derived from 300x300 meter MEdium Resolution Imaging Spectrometer (MERIS) satellite imagery. This dataset was produced through partnership with the National Oceanic and Atmospheric Administration (NOAA), the National Aeronautics and Space Administration (NASA), the United States Geological Survey (USGS), and the United States Environmental Protection Agency (USEPA). This cyanobacteria dataset was derived using the European Space Agency (ESA) Envisat satellite and MERIS instrument. MERIS is a 68.5 degree field-of-view nadir-pointing imaging spectrometer which measures the solar radiation reflected by the Earth in 15 spectral bands (visible and near-infrared). MERIS imagery was used to identify long-wavelength spectral bands (from red through near-infrared portion of the spectrum) to locate algal blooms within freshwaters and estuaries of the continental United States. This dataset is associated with the following publication: Urquhart, E., B. Schaeffer, R. Stumpf, K. Loftin, and J. Wedell. .A method for examining temporal changes in cyanobacterial harmful algal bloom spatial extent using satellite remote sensing. Harmful Algae. Elsevier B.V., Amsterdam, NETHERLANDS, 67: 144-152, (2017).

This dataset shows the concentration of cyanobacteria cells/ml in fresh water bodies and estuaries of the Ohio and Florida derived from 300x300 meter MEdium Resolution Imaging Spectrometer (MERIS) satellite imagery. This dataset was produced through partnership with the National Oceanic and Atmospheric Administration (NOAA), the National Aeronautics and Space Administration (NASA), the United States Geological Survey (USGS), and the United States Environmental Protection Agency (USEPA). This cyanobacteria dataset was derived using the European Space Agency (ESA) Envisat satellite and MERIS instrument. MERIS is a 68.5 degree field-of-view nadir-pointing imaging spectrometer which measures the solar radiation reflected by the Earth in 15 spectral bands (visible and near-infrared). MERIS imagery was used to identify long-wavelength spectral bands (from red through near-infrared portion of the spectrum) to locate algal blooms within freshwaters and estuaries of the continental United States. This dataset is associated with the following publication: Urquhart, E., B. Schaeffer, R. Stumpf, K. Loftin, and J. Wedell. .A method for examining temporal changes in cyanobacterial harmful algal bloom spatial extent using satellite remote sensing. Harmful Algae. Elsevier B.V., Amsterdam, NETHERLANDS, 67: 144-152, (2017).

Data represents satellite derived measures of cyanobacteria biomass across largest US lakes. This dataset is not publicly accessible because: Already publicly available at link below. It can be accessed through the following means: Original satellite files are publicly available at https://oceancolor.gsfc.nasa.gov/about/projects/cyan/. Format: GeoTIFF data, HE5 files. This dataset is associated with the following publication: Coffer, M., B. Schaeffer, W. Salls, J. Minucci, and O. Cronin-Golomb. Recommendations for temporal aggregation of water quality data from multi-platform satellite constellations. INTERNATIONAL JOURNAL OF REMOTE SENSING. Taylor & Francis, Inc., Philadelphia, PA, USA, 47(1): 177-199, (2026).

Water quality data was collected by the United States Army Corp of Engineers at numerous locations along the shore of Lake Ponchartrain, Louisiana during the month of September 2019. The samples were collected repeatedly at 8 locations around the lake. The parameters collected include chlorophyll a (uncorrected), chlorophyll b, chlorophyll c1 + c2, phycocyanin, microcystin, water temperature, dissolved oxygen, dissolved oxygen percent saturation, pH, salinity, and specific conductance. These data were used to monitor the water quality of commonly used beaches and swimming areas. These data are in spreadsheet form.

MERIS and OLCI satellite data with CI_cyano algorithm quantify the spatial extent of cyanobacteria. This dataset is associated with the following publication: Schaeffer, B., E. Urquhart, M. Coffer, W. Salls, R. Stumpf, K. Loftin, and P.J. Werdell. Satellites quantify the spatial extent of cyanobacterial blooms across the United States at multiple scales. ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 140: 108990, (2022).

Data for analysis for modeling probability of measuring microcystin toxin, cyanobacteria cell abundance, and chlorophyll a concentration in ~2,200 lakes based on cyanobacteria summer bloom magnitude measured by satellite imagery. This dataset is associated with the following publication: Handler, A., J. Compton, R. Hill, S. Leibowitz, and B. Schaeffer. Identifying lakes at risk of toxic cyanobacterial blooms using satellite imagery and field surveys across the United States. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 869: 161784, (2023).

Assessing temporal frequency of cyanobacterial blooms using imagery from the Sentinel-3A satellite sensor. This dataset is associated with the following publication: Coffer, M., B. Schaeffer, W. Salls, E. Urquhart, K.A. Loftin, R.P. Stumpf, P.J. Werdell, and J. Darling. Satellite remote sensing to assess cyanobacterial bloom frequency across the United States at multiple spatial scales. ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 128: 107822, (2021).