Coccolithophore bloom classification in coastal waters from multi-decade satellite ocean colour data

Marié E. Smith; Marié E. Smith; Sandy J. Thomalla; Lebogang Matlakala

doi:10.1364/HMISE.2023.HW4C.5

Optica Sensing Congress 2023 (AIS, FTS, HISE, Sensors, ES)
Technical Digest Series (Optica Publishing Group, 2023),
paper HW4C.5
•https://doi.org/10.1364/HMISE.2023.HW4C.5

Coccolithophore bloom classification in coastal waters from multi-decade satellite ocean colour data

Marié E. Smith, Sandy J. Thomalla, and Lebogang Matlakala

Hyperspectral/Multispectral Imaging and Sounding of the Environment 2023

Munich Germany
30 July–3 August 2023
ISBN: 978-1-957171-24-1

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Aquatic Remote Sensing I (HW4C)

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M. E. Smith, S. J. Thomalla, and L. Matlakala, "Coccolithophore bloom classification in coastal waters from multi-decade satellite ocean colour data," in Optica Sensing Congress 2023 (AIS, FTS, HISE, Sensors, ES), Technical Digest Series (Optica Publishing Group, 2023), paper HW4C.5.

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Abstract

A simple three-band algorithm can detect coccolithophore blooms across multiple years of satellite imagery, and discriminate them from background signals of phyto-plankton and suspended particulate matter in coastal waters.

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