Secchi Depth estimation for optically-complex waters based on spectral angle mapping - derived water classification using Sentinel-2 data

Author:

Zhou Yadong12,Liu Hui12,He Baoyin1,Yang Xiaoqing3,Feng Qi1,Kutser Tiit4,Chen Feng56,Zhou Xinmeng7,Xiao Fei1,Kou Jiefeng8

Affiliation:

1. Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan, China

2. University of Chinese Academy of Sciences, Beijing, China

3. Hubei Provincial Department of Water Resources, Wuhan, China

4. Estonian Marine Institute, University of Tartu, Tallinn, Estonia

5. College of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China

6. Big Data Institute of Digital Natural Disaster Monitoring in Fujian, Xiamen University of Technology, Xiamen, China

7. Wuhan Environmental Monitoring Center, Wuhan, China

8. South China Institute of Environmental Sciences, Guangzhou, China

Funder

Hubei Provincial Natural Science Foundation for Innovation Groups, Science and Technology Department of Hubei Province

Hubei Provincial Department of Water Resources

Wuhan Environmental Protection Bureau

Technological Innovation Special Major Project of Hubei Province, Science and Technology Department of Hubei Province

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

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