The DOI matches its Crossref record.
Global monitoring of plankton blooms using MERIS MCI.
Abstract
The MERIS maximum chlorophyll index (MCI), measuring the radiance peak at 709 nm in water‐leaving radiance, indicates the presence of a high surface concentration of chlorophyll a against a scattering background. The index is high in ‘red tide’ conditions (intense, visible, surface, plankton blooms) and is raised when aquatic vegetation is present. A bloom search based on the MCI has resulted in the detection of a variety of events in Canadian, Antarctic and other waters round the world, as well as detection of extensive areas of pelagic vegetation (Sargassum spp.), previously unreported in the scientific literature. Since 1 June 2006, global MCI composite images, at a spatial resolution of 5 km, are being produced daily from all MERIS (daylight) passes of reduced resolution (RR) data. The global composites significantly increase the area now being searched for events, although the reduced spatial resolution may cause smaller events to be missed. This paper describes the composites and gives examples of plankton bloom events that they have detected. It also shows how the composites are affected by the South Atlantic anomaly (SAA), where cosmic rays impact the detectors of the MERIS instrument.
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In the citing paper
“Some algorithms, such as the Maximum Chlorophyll Index (MCI) of Gower et al. (2008) and the Red Band Difference (RBD) of Amin et al. (2009), do not require a full atmospheric correction and have also been designed specifically to locate algal blooms.”
From Current and Future Remote Sensing of Harmful Algal Blooms in the Chesapeake Bay to Support the Shellfish Industry (2020) · cites this paper as Gower et al. (2008)
In the citing paper
“Algorithms, such as the ratio of 704-665 nm (Gilerson et al., 2010) and a form of the MCI from Gower et al. (2008), can be applied to Sentinel-2/MSI data and have the potential for identifying high biomass blooms in Chesapeake Bay.”
From Current and Future Remote Sensing of Harmful Algal Blooms in the Chesapeake Bay to Support the Shellfish Industry (2020) · cites this paper as Gower et al. (2008)
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Research works printed but not linked: 7
- 10.1080/01431169208904125 · DOI
- Gower J. F. R., 1999, International Journal of Remote Sensing, 9, 1771, 10.1080/014311699212470 · DOI
- 10.1080/01431160500075857 · DOI
- 10.1109/TGRS.2006.882258 · DOI
- Gower J. F. R., 2007, Geophysical Research Letters, 34, L15501
- Smetacek V., 1992, Deep‐Sea Research, 39, 153, 10.1016/0198-0149(92)90102-Y · DOI
- 10.1093/plankt/17.11.2155 · DOI
Cited by
Sorted by citations
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
Metadata
- Authors
- Gower, J., King, S., & Goncalves, P.
- Affiliations
- Fisheries and Oceans Canada (CA)
- Terradue (Italy) (IT)
- Corresponding author
- Gower, J.
- ORCID
- Gower, J.
- Venue
- International Journal of Remote Sensing
- Publisher
- Informa UK Limited
- Published
- 2008-10-23
- Volume
- 29
- Issue
- 21
- Pages
- 6209-6216
- ISSN
- 0143-1161 (ISSN-L)
- 1366-5901
- OpenAlex
- W2021063716
- Cited by
- 136
- References
- 0
- Citations by year
- 2026: 6 · 2025: 2 · 2024: 14 · 2023: 8 · 2022: 10 · 2021: 11 · 2020: 14 · 2019: 7 · 2018: 12 · 2017: 9 · 2016: 5 · 2015: 8 · 2014: 11 · 2013: 7 · 2012: 1
- FWCI
- 2.56
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Remote Sensing (publishedVersion)
- Funders
- Canadian Space Agency
- Fisheries and Oceans Canada
- Topics
- Physical Sciences › Earth and Planetary Sciences › Oceanography › Marine Plankton and Biogeochemistry
- Physical Sciences › Earth and Planetary Sciences › Oceanography › Oceanographic and Atmospheric Processes
- Physical Sciences › Environmental Science › Environmental Chemistry › Aquatic Ecosystems and Phytoplankton Dynamics
- Keywords
- plankton blooms, red tide, MERIS, chlorophyll a, water-leaving radiance, Sargassum, South Atlantic Anomaly, cosmic rays, ocean color remote sensing
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