Cited by 72Marine Plankton and BiogeochemistryMarine Toxins and Detection MethodsRemote-Sensing Image Classification

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Space station image captures a red tide ciliate bloom at high spectral and spatial resolution.

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Dierssen, Heidi, McManus, George B., Chlus, Adam, Qiu, Dajun, Gao, Bo-Cai, Lin, Senjie·2015·Proceedings of the National Academy of Sciences

Abstract

Significance: Many different types of plankton bloom in the coastal ocean. Some produce harmful toxins, whereas others are considered important contributors to primary production and ecosystem dynamics. Routine ocean color sensors can reveal a dense bloom or “red tide” from space but cannot differentiate types of plankton. The Hyperspectral Imager for the Coastal Ocean on the International Space Station allowed for new “hyperspectral” approaches to identify pigments and assess biophysical forcing associated with different blooms. Consistent with field and molecular observations, imagery revealed dense surface patches of Mesodinium rubrum , a ciliate that uses the chloroplasts from its cryptophyte algal prey to photosynthesize. For the first time, to our knowledge, the distribution and abundance were mapped based on the unique yellow fluorescence properties of its signature pigment phycoerythrin.

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Crossref · 10.1073/pnas.1512538112

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  • The Hyperspectral Imager for the Coastal Ocean (HICO), flown aboard the International Space Station from 2009 to 2014, was successfully used to detect a bloom of Mesodinium rubrum in Long Island Sound, NY.

    “Dierssen et al. (2015) demonstrated the successful use of the Hyperspectral Imager for the Coastal Ocean (HICO) that flew aboard the International Space Station from 2009 to 2014 to detect a bloom of M. rubrum in Long Island Sound, NY.”

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Metadata

Authors
Dierssen, H., McManus, G. B., Chlus, A., Qiu, D., Gao, B.-C., & Lin, S.
Affiliations
  • University of Connecticut (US)
  • United States Naval Research Laboratory (US)
Corresponding author
Dierssen, Heidi
Venue
Proceedings of the National Academy of Sciences
Published
2015-11-16
Volume
112
Issue
48
Pages
14783-14787
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2177387496
Cited by
72
References
1
Citations by year
2026: 2 · 2025: 2 · 2024: 4 · 2023: 8 · 2022: 7 · 2021: 13 · 2020: 11 · 2019: 6 · 2018: 8 · 2017: 4 · 2016: 7
FWCI
5.27
Type
journal article
Language
en
Open access
Locations
  • Proceedings of the National Academy of Sciences (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Aeronautics and Space Administration (NNX15AC32G)
  • Connecticut Department of Energy and Environmental Protection (14DEP15003AA)
Topics
  • Physical Sciences › Earth and Planetary Sciences › Oceanography › Marine Plankton and Biogeochemistry
  • Physical Sciences › Environmental Science › Environmental Chemistry › Marine Toxins and Detection Methods
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Remote-Sensing Image Classification
Keywords
Mesodinium rubrum, red tide, hyperspectral remote sensing, photosynthetic pigments, coastal plankton, Long Island Sound, ocean color remote sensing
MeSH terms
Algorithms, Chloroplasts, Color, Dinoflagellida, DNA, Ribosomal, Environmental Monitoring, Oceans and Seas, Photosynthesis, Phycoerythrin, Ecosystem, Spacecraft, Harmful Algal Bloom, Satellite Imagery

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