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Developing a Fluorescence Line Height Based Chlorophyll Algorithm for Optically Complex Waters Using Post Cyclone Phytoplankton Blooms
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DOI：10.1080/01490419.2025.2571912.png)
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Abstract
En 中文
In this paper, the applicability of chlorophyll fluorescence for analyzing changes in phytoplankton biomass following the passage of a cyclone named Mandous has been investigated using Sentinel-3 Ocean and Land Color Imager (OLCI) data. OLCI daily Level 2 reflectance data from 2-20 December 2022 was processed for the Fluorescence line height (FLH) estimation, to analyze the pre and post-cyclone fluorescence. It was observed that the chlorophyll concentration increased by up to 10 times after the passage of the cyclone Mandous, and a bloom-like feature extended from 9-140N and 81-850E. Before the cyclone, chlorophyll concentration in the Bay of Bengal was low, with chlorophyll concentration ranging between 0.2-0.5 mg/m3, which increased to 2-3 mg/m3 on 16 December. FLH product computed from the normalized water-leaving radiance showed an increase in the chlorophyll fluorescence beginning from 12 December, and continuing up to 20 December. Finally, a new algorithm for chlorophyll inversion in case-2 waters and bloom regions is presented by developing a regression relationship between FLH and chlorophyll. This alternate chlorophyll algorithm has been tested in coastal and estuarine waters of Goa, India and are found to perform significantly better than empirical OC4 based algorithm and neural network based algorithm of OLCI.
Keywords:
Fluorescence line height
chlorophyll concentration
oligotrophic
OLCI
cyclone Mandous
Journal
M
IF:
1.4
Papers:
20
Citations:
0