A chlorophyll-a retrieval algorithm for the Coastal Zone Imager (CZI) onboard the HY-1C satellite in the Pearl River Estuary, China

Author:

Huang Yuye12,Tang Shilin13,Wu Jie1

Affiliation:

1. State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, China

2. College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, China

3. Southern Marine Science and Engineering Guangdong Laboratory, Guangzhou, China

Funder

Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory

National Natural Science Foundation of China

Youth Innovation Promotion Association CAS

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Reference42 articles.

1. New aerosol models for the retrieval of aerosol optical thickness and normalized water-leaving radiances from the SeaWiFS and MODIS sensors over coastal regions and open oceans

2. Robust algorithm for estimating total suspended solids (TSS) in inland and nearshore coastal waters

3. Brockmann, C., R. Doerffer, M. Peters, S. Kerstin, S. Embacher, and A. J. E. Ruescas.2016. “Evolution of the C2RCC Neural Network for Sentinel 2 and 3 for the Retrieval of Ocean Colour Products in Normal and Extreme Optically Complex Waters.” ESASP 740

4. Retrieval Algorithm of Chlorophyll-a Concentration in Turbid Waters from Satellite HY-1C Coastal Zone Imager Data

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