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Updated: May 29, 2026
10:28
Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information
Published on: June 13, 2020
[Validation and analysis of water column correction algorithm at Sanya Bay].
Chao-yu Yang1, Ding-tian Yang, Hai-bin Ye
1State Key Laboratory of Oceanography in the Tropics, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China. ycy@scsio.ac.cn
Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
|September 28, 2011
Summary
A new water column correction algorithm accurately extracts bottom reflectance in complex coastal waters like Sanya Bay. This method improves remote sensing accuracy for shallow ocean monitoring.
Area of Science:
- Oceanography
- Remote Sensing
- Optics
Context:
- Accurate coastal ocean monitoring is crucial but challenged by complex optical properties in shallow waters.
- Water column correction is essential for retrieving true bottom reflectance from remote sensing data.
- Sanya Bay presents complex and spatially variable optical properties, making it a challenging study area.
Purpose:
- To investigate the optical properties of shallow water in Sanya Bay.
- To identify and evaluate suitable water column correction algorithms for complex coastal environments.
- To extract accurate bottom reflectance by mitigating water column effects.
Summary:
- A novel water column correction algorithm, simulating the underwater light field, was developed and applied to Sanya Bay.
- This algorithm successfully extracted bottom reflectance, showing good agreement with in situ measurements.
- The developed algorithm outperformed Christian's model in the complex optical conditions of Sanya Bay.
Impact:
- The study provides a reliable method for improving the accuracy of remote sensing in optically complex coastal zones.
- Enhanced bottom reflectance retrieval enables better monitoring of shallow marine environments.
- Findings contribute to advancing optical remote sensing techniques for coastal oceanography.
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