Plankton Imagery Data Inform Satellite‐Based Estimates of Diatom Carbon-Reference-Cited by-同舟云学术

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Plankton Imagery Data Inform Satellite‐Based Estimates of Diatom Carbon

Published:2022-07 Issue:13 Volume:49 Page:
ISSN:0094-8276
Container-title:Geophysical Research Letters
language:en
Short-container-title:Geophysical Research Letters

Author:

Chase A. P.¹^ORCID,Boss E. S.²,Haëntjens N.²^ORCID,Culhane E.³,Roesler C.⁴,Karp‐Boss L.²

Affiliation:

1. Applied Physics Laboratory University of Washington Seattle WA USA

2. School of Marine Sciences University of Maine Orono ME USA

3. Woods Hole Oceanographic Institution Woods Hole MA USA

4. Department of Earth and Oceanographic Science Bowdoin College Brunswick ME USA

Funder

National Aeronautics and Space Administration

Washington Research Foundation

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2022GL098076

Reference72 articles.

1. Remote sensing of phytoplankton groups in case 1 waters from global SeaWiFS imagery

2. Seasonal distribution and succession of dominant phytoplankton groups in the global ocean: A satellite view

3. Combined pigment and metatranscriptomic analysis reveals highly synchronized diel patterns of phenotypic light response across domains in the open oligotrophic ocean

4. Thoughts on the evolution and ecological niche of diatoms

5. Revaluating ocean warming impacts on global phytoplankton

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1. Phytoplankton communities quantified from hyperspectral ocean reflectance correspond to pigment-based communities;Optics Express;2024-09-10

2. Phytoplankton composition from sPACE: Requirements, opportunities, and challenges;Remote Sensing of Environment;2024-03

3. Toward a synthesis of phytoplankton community composition methods for global‐scale application;Limnology and Oceanography: Methods;2024-02-23

4. Phytoplankton optical fingerprint libraries for development of phytoplankton ocean color satellite products;Scientific Data;2024-02-03

5. Informing ocean color inversion products by seeding with ancillary observations;Optics Express;2023-11-15

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