Machine Learning Based Estimation of Coastal Bathymetry From ICESat-2 and Sentinel-2 Data

Author:

Xu Nan1ORCID,Wang Lin2ORCID,Zhang Han-Su3ORCID,Tang Shilin4ORCID,Mo Fan5ORCID,Ma Xin6ORCID

Affiliation:

1. College of Geography and Remote Sensing, Hohai University, Nanjing, China

2. College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, China

3. School of Artificial Intelligence and Information Technology, Nanjing University of Chinese Medicine, Nanjing, China

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

5. Land Satellite Remote Sensing Application Center, Ministry of Natural Resources, Beijing, China

6. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

Funder

State Key Laboratory of Tropical Oceanography

South China Sea Insitute of Oceanology

Chinese Academy of Sciences

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

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