

FOLLOWUS
1.Key Laboratory of Virtual Geographic Environment of Education Ministry, Nanjing Normal University, Nanjing 210023, China
2.Co-Innovation Center for Sustainable Forestry in Southern China of Jiangsu Province, Key Laboratory of Soil and Water Conservation and Ecological Restoration of Jiangsu Province, Nanjing Forestry University, Nanjing 210037, China
3.School of Geography and Tourism, Qilu Normal University, Jinan 250200, China
4.School of Geography and Planning, Chizhou University, Chizhou 247000, China
5.Jiangsu Center for Collaboration Invocation in Geographical Information Resource Development and Application, Nanjing 210023, China
6.School of Geomatics and Municipal Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China
heng.lyu@gmail.com
收稿:2025-07-05,
录用:2025-09-05,
网络首发:2025-10-09,
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Wenyu LIU, Yiling ZHENG, Jie LIN, 等. A novel method of estimating phytoplankton absorption coefficient for inland waters based on OLCI using Sun-induced chlorophyll-
LIU Wenyu,ZHENG Yiling,LIN Jie,et al.A novel method of estimating phytoplankton absorption coefficient for inland waters based on OLCI using Sun-induced chlorophyll-a fluorescence[J].Journal of Oceanology and Limnology,
Wenyu LIU, Yiling ZHENG, Jie LIN, 等. A novel method of estimating phytoplankton absorption coefficient for inland waters based on OLCI using Sun-induced chlorophyll-
LIU Wenyu,ZHENG Yiling,LIN Jie,et al.A novel method of estimating phytoplankton absorption coefficient for inland waters based on OLCI using Sun-induced chlorophyll-a fluorescence[J].Journal of Oceanology and Limnology, DOI:10.1007/s00343-025-5248-0.
The phytoplankton light absorption coefficient (
a
ph
) is crucial for understanding growth
composition
size classes
photo-acclimation
and carbon cycling processes of phytoplankton. However
the existing estimation methods suffer from low estimation accuracy and limited applicability due to insufficient theoretical support. Sun-induced chlorophyll-
a
fluorescence (SIF) serves as an optical indicator of phytoplankton photosynthesis activity and holds potential to estimate
a
ph
. The factors affecting the relationship between SIF and phytoplankton absorption were explored. A new algorithm for estimating the phytoplankton absorption coefficient at 665 nm (
a
ph
(665)) incorporating the diffuse attenuation coefficient of photosynthetically active radiation (
K
d
(PAR)) was developed to classify water types and SIF and estimate
a
ph
(665) for each water type. Validation datasets collected from eight inland waters in China were used to assess the accuracy of the new method. Results demonstrate that the new algorithm outperforms two classical approaches with overall win rate (OWR) of 50.89%
unbiased mean absolute percentage error (UMAPE) of 30.73%
and root mean square error (RMSE) of 0.24/m. Furthermore
the robustness and applicability of the developed algorithm were confirmed through successful application in Belgian inland and coastal waters. Finally
the algorithm was applied to map the spatiotemporal distribution of
a
ph
(665) in Taihu Lake for year 2022 using Sentinel-3 Ocean and Land Color Instrument (OLCI) imagery. The advantages of this method can be further expanded with the launch of the Plankton
Clouds
Aerosols
and Ecosystems (PACE) satellite with higher spectral resolution.
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