Remote Sensing Retrieval of Water Clarity in Clear Oceanic to Extremely Turbid Coastal Waters From Multiple Spaceborne Sensors-Reference-Cited by-同舟云学术

Remote Sensing Retrieval of Water Clarity in Clear Oceanic to Extremely Turbid Coastal Waters From Multiple Spaceborne Sensors

Published:2023 Issue: Volume:61 Page:1-18
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Xiang Jinzhao¹^ORCID,Cui Tingwei¹^ORCID,Qing Song²,Liu Rongjie³^ORCID,Chen Yanlong⁴,Mu Bing⁵,Zhang Xiaobo¹,Zhao Wenjing⁶,Ma Yi³^ORCID,Zhang Jie³^ORCID

Affiliation:

1. School of Atmospheric Sciences, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Key Laboratory of Tropical Atmosphere-Ocean System, Ministry of Education, Sun Yat-sen University, Zhuhai, China

2. College of Geographical Science, Inner Mongolia Normal University, Hohhot, China

3. First Institute of Oceanography, Ministry of Natural Resources, Qingdao, China

4. National Marine Environmental Monitoring Center, Dalian, China

5. College of Information Science and Engineering, Ocean University of China, Qingdao, China

6. South China Institute of Environmental Science, Ministry of Ecology and Environment, Guangzhou, China

Funder

National Natural Science Foundation of China

Southern Marine Science and Engineering Guangdong Laboratory

Fundamental Research Funds for the Central Universities, Sun Yat-sen University

China-Korea Joint Ocean Research Center, China

Basic and Applied Basic Research Foundation of Guangdong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10262125.pdf?arnumber=10262125

Reference91 articles.

1. Mapping water clarity in North American lakes and reservoirs using Landsat images on the GEE platform with the RGRB model

2. Improved retrieval of Secchi depth for optically-complex waters using remote sensing data

3. Terminology and classification of bio-optical algorithms

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