Harmful Algal Bloom Forecasting Branch Ocean Color Satellite Imagery Processing Guidelines

Measurement of Cyanobacterial Bloom Magnitude using Satellite Remote Sensing

Mishra, S., Stumpf, R. P., Schaeffer, B. A., Werdell, P. J., Loftin, K. A., & Meredith, A. (2019) · Scientific Reports · doi:10.1038/s41598-019-54453-y · Cited by 151

Global divergent trends of algal blooms detected by satellite during 1982–2018

Fang, C., Song, K., Paerl, H. W., Jacinthe, P.-A., Wen, Z., Liu, G., Tao, H., Xu, X., Kutser, T., Wang, Z., et al. (2022) · Global Change Biology · doi:10.1111/gcb.16077 · Cited by 146

Satellites for long-term monitoring of inland U.S. lakes: The MERIS time series and application for chlorophyll-a

Seegers, B. N., Werdell, P. J., Vandermeulen, R. A., Salls, W. B., Stumpf, R. P., Schaeffer, B. A., Owens, T., Bailey, S. W., Scott, J. P., & Loftin, K. A. (2021) · Remote Sensing of Environment · doi:10.1016/j.rse.2021.112685 · Cited by 107

Current and Future Remote Sensing of Harmful Algal Blooms in the Chesapeake Bay to Support the Shellfish Industry

Wolny, J. L., Tomlinson, M. C., Schollaert Uz, S., Egerton, T. A., McKay, J. R., Meredith, A., Reece, K. S., Scott, G. P., & Stumpf, R. P. (2020) · Frontiers in Marine Science · doi:10.3389/fmars.2020.00337 · Cited by 80

Satellite remote sensing to assess cyanobacterial bloom frequency across the United States at multiple spatial scales

Coffer, M. M., Schaeffer, B. A., Salls, W. B., Urquhart, E. A., Loftin, K. A., Stumpf, R. P., Werdell, P. J., & Darling, J. A. (2021) · Ecological Indicators · doi:10.1016/j.ecolind.2021.107822 · Cited by 71

Evaluation of a satellite-based cyanobacteria bloom detection algorithm using field-measured microcystin data

Mishra, S., Stumpf, R. P., Schaeffer, B. A., Werdell, P. J., Loftin, K. A., & Meredith, A. (2021) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2021.145462 · Cited by 62

A space-time geostatistical model for probabilistic estimation of harmful algal bloom biomass and areal extent

Fang, S., Giudice, D. D., Scavia, D., Binding, C. E., Bridgeman, T. B., Chaffin, J. D., Evans, M. A., Guinness, J., Johengen, T. H., & Obenour, D. R. (2019) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2019.133776 · Cited by 57

Quantifying Scales of Spatial Variability of Cyanobacteria in a Large, Eutrophic Lake Using Multiplatform Remote Sensing Tools

Sharp, S. L., Forrest, A. L., Bouma‐Gregson, K., Jin, Y., Cortés, A., & Schladow, S. G. (2021) · Frontiers in Environmental Science · doi:10.3389/fenvs.2021.612934 · Cited by 40

A validation of satellite derived cyanobacteria detections with state reported events and recreation advisories across U.S. lakes

Whitman, P. J., Schaeffer, B. A., Salls, W. B., Coffer, M. M., Mishra, S., Seegers, B. N., Loftin, K. A., Stumpf, R. P., & Werdell, P. J. (2022) · Harmful Algae · doi:10.1016/j.hal.2022.102191 · Cited by 30

Cyanobacterial bloom phenology in Saginaw Bay from MODIS and a comparative look with western Lake Erie

Wynne, T. T., Stumpf, R. P., Litaker, R. W., & Hood, R. R. (2021) · Harmful Algae · doi:10.1016/j.hal.2021.101999 · Cited by 26

Recent changes in cyanobacteria algal bloom magnitude in large lakes across the contiguous United States

Mishra, S., Stumpf, R. P., Schaeffer, B. A., & Werdell, P. J. (2023) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2023.165253 · Cited by 25

Satellite and in situ cyanobacteria monitoring: Understanding the impact of monitoring frequency on management decisions

Reynolds, N., Schaeffer, B. A., Guertault, L., & Nelson, N. G. (2023) · Journal of Hydrology · doi:10.1016/j.jhydrol.2023.129278 · Cited by 21

Evaluating the Efficacy of Five Chlorophyll-a Algorithms in Chesapeake Bay (USA) for Operational Monitoring and Assessment

Wynne, T. T., Tomlinson, M. C., Briggs, T. O., Mishra, S., Meredith, A., Vogel, R. L., & Stumpf, R. P. (2022) · Journal of Marine Science and Engineering · doi:10.3390/jmse10081104 · Cited by 20

Using the Red Band Difference Algorithm to Detect and Monitor a Karenia spp. Bloom Off the South Coast of Ireland, June 2019

Jordan, C., Cusack, C. K., Tomlinson, M. C., Meredith, A., McGeady, R., Salas, R., Gregory, C., & Croot, P. L. (2021) · Frontiers in Marine Science · doi:10.3389/fmars.2021.638889 · Cited by 16

Consistent Multi-Mission Measures of Inland Water Algal Bloom Spatial Extent Using MERIS, MODIS and OLCI

Zeng, C., & Binding, C. E. (2021) · Remote Sensing · doi:10.3390/rs13173349 · Cited by 19

First record of red-tide in Elba protectorate coast using Sentinel-3 and its impacts on ecosystem

Mahdy, A., Said, R. E. M., Khaled, M. A., & Abdelsalam, A. A. (2022) · The Egyptian Journal of Remote Sensing and Space Science · doi:10.1016/j.ejrs.2022.07.005 · Cited by 16

Phytoplankton Bloom Dynamics in Incubated Natural Seawater: Predicting Bloom Magnitude and Timing

Ok, J. H., Jeong, H. J., You, J. H., Kang, H. C., Park, S. A., Lim, A. S., Lee, S. Y., & Eom, S. H. (2021) · Frontiers in Marine Science · doi:10.3389/fmars.2021.681252 · Cited by 16

Linking multi-media modeling with machine learning to assess and predict lake chlorophyll a concentrations

Chang, C. F., Garcia, V. C., Tang, C., Vlahos, P., Wanik, D. W., Yan, J., Bash, J. O., & Astitha, M. (2021) · Journal of Great Lakes Research · doi:10.1016/j.jglr.2021.09.011 · Cited by 15

Water Quality and Toxic Cyanobacteria in Oligohaline Estuary Beaches During the Longest Mississippi River Basin Flood Event in 2019

Bargu, S., Skaggs, B. E., Boudreaux, M., Hammond, C. N., Snow, C., Aw, T. G., & Stumpf, R. P. (2023) · Estuaries and Coasts · doi:10.1007/s12237-023-01247-1 · Cited by 13

Constructing a Consistent and Continuous Cyanobacteria Bloom Monitoring Product from Multi-Mission Ocean Color Instruments

Mishra, S., Stumpf, R. P., & Meredith, A. (2023) · Remote Sensing · doi:10.3390/rs15225291 · Cited by 8

Chromaticity-Based Discrimination of Algal Bloom from Inland and Coastal Waters Using In Situ Hyperspectral Remote Sensing Reflectance

Zhao, D., Luo, Q., & Qiu, Z. (2024) · Water · doi:10.3390/w16162276 · Cited by 8

Development of VIIRS-OLCI chlorophyll-a product for the coastal estuaries

Gilerson, A. A., Malinowski, M., Agagliate, J., Herrera-Estrella, E., Tzortziou, M. A., Tomlinson, M. C., Meredith, A., Stumpf, R. P., Ondrusek, M. E., Jiang, L., et al. (2024) · Frontiers in Marine Science · doi:10.3389/fmars.2024.1476425 · Cited by 7

Remote sensing of cyanobacterial blooms in Lake Champlain with a focus on Missisquoi Bay

Wynne, T. T. (2024) · Journal of Great Lakes Research · doi:10.1016/j.jglr.2024.102293 · Cited by 5

Remote cyanobacteria detection by multispectral drone imagery

Bartelt, G., You, J., & Hondzo, M. (2024) · Lake and Reservoir Management · doi:10.1080/10402381.2024.2341250 · Cited by 4

Assessing the relationship between cyanobacterial blooms and respiratory-related hospital visits: Green bay, Wisconsin 2017–2019

Murray, J. F., Lavery, A. M., Schaeffer, B. A., Seegers, B. N., Pennington, A. F., Hilborn, E. D., Boerger, S., Runkle, J. D., Loftin, K. A., Graham, J. L., et al. (2023) · International Journal of Hygiene and Environmental Health · doi:10.1016/j.ijheh.2023.114272 · Cited by 4

Two decades of cyanobacterial bloom dynamics in the Great Lakes: insights from multi-mission ocean color sensors

Mishra, S., Stumpf, R. P., Wynne, T. T., & Hounshell, A. G. (2026) · Environmental Research Ecology · doi:10.1088/2752-664x/ae4631 · Cited by 2

An ASBPA White Paper: Human and ecosystem health in coastal systems

(2022) · Shore & Beach · doi:10.34237/1009018 · Cited by 2

Statewide Intensification of Harmful Algal Blooms Across California Lakes and Reservoirs

Barreto, B. N. L., Hestir, E. L., Beutel, M. W., & Lee, C. (2026) · GeoHealth · doi:10.1029/2025gh001627

Harmful Algal Bloom Forecasting Branch Ocean Color Satellite Imagery Processing Guidelines, 2020 Update

Wallmo, K. (2020) · NOAA Institutional Repository · doi:10.25923/606t-m243 · Cited by 6

Processing methods and guidelines for NCCOS harmful algal bloom forecasting satellite products

Wynne, T. T., Meredith, A., Mishra, S., Laurent, K. S., & Stumpf, R. P. (2026) · NOAA Institutional Repository · doi:10.25923/v03z-gc36

Remote sensing & Statistical learning approach to Harmful Algal Bloom Forecasting Using MODIS Ocean colour parameters

Izadi, M., Sultan, M., Elkadiri, R., Ghannadi, M. A., Nikraftar, Z., & Namjoo, F. (2020) · AGU Fall Meeting Abstracts

Observing Red Tide Algal Blooms From Satellite Ocean Color Imagery: West Florida Shelf

Krueger, E. T., & Jose, F. (2016) · AGU Fall Meeting Abstracts

Calibration of a Forecasting Algae Bloom Operational System in the North Sea: Use of Remote Sensing Images

Serafy, G. Y. E. (2015) · EGUGA