Comparison of Machine Learning Inversion Methods for Salinity in the Central Indian Ocean Based on SMOS Satellite Data
Author:
Affiliation:
1. College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China
Funder
Natural Science Foundation of Guangxi Province
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/07038992.2023.2298575
Reference54 articles.
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3. Analysis of SMOS sea surface salinity data using DINEOF
4. Paradigm shift in the onset phase of the Indian Summer Monsoon since 2000 and its potential connection to South Indian Ocean
5. A multi-temporal and multi-angular approach for systematically retrieving soil moisture and vegetation optical depth from SMOS data
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