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May 9, 2026Remote SensingOpen Access

An Absorption-Based Bio-Optical Framework for Phytoplankton Size Class Retrieval in the Arabian Sea

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Authors

RNR. Chandrasekhar NaikALAA LotlikerSPSudarsana Rao Pandi

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Overview

Develops a method for estimating phytoplankton size classes in the Arabian Sea, suggesting improved bio-optical monitoring techniques.

Key Points

  • To develop and validate a bio-optical framework for estimating phytoplankton size classes in the Arabian Sea.
  • Utilized in situ phytoplankton absorption spectra (aph(λ)) from 2016 to 2024.
  • Established power-law relationships between absorption at 443 nm and spectral slope for size class differentiation.
  • Applied empirical thresholds derived from HPLC pigment data to categorize phytoplankton sizes.
  • Achieved R2 = 0.963 for the power-law relationship indicating strong predictive capability.
  • Model improved regression slopes close to unity (0.78–0.81) compared to existing models.
  • Revealed micro-phytoplankton blooms in northern Arabian Sea and nano-dominated communities along the Somali coast.

Cite This Study

Naik et al. (2026) studied this question.

synapsesocial.com/papers/69fecf71b9154b0b82876712https://doi.org/10.3390/rs18101451
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