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Debiased non-Bayesian retrieval: A novel approach to SMOS Sea Surface Salinity

  • Published:2017-05 Issue: Volume:193 Page:103-126
  • ISSN:0034-4257
  • Container-title:Remote Sensing of Environment
  • language:en
  • Short-container-title:Remote Sensing of Environment

Author:

Olmedo Estrella,Martínez Justino,Turiel Antonio,Ballabrera-Poy Joaquim,Portabella Marcos

Funder

Spanish Ministry of Economy

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference58 articles.

1. L2 OTTs SO-TN-ARG-GS-0066. ARGANS ACRI ICM-CSIC LOCEAN/SA/CETP IFREMED,2011

2. A technique for maximizing details in numerical weather map analysis;Barnes;J. App. Meteor.,1964

3. SMOS-BEC data access,2016

4. SMOS-BEC Ocean and Land Products Description BEC-SMOS-0001-PD;Team,2015

5. SMOS-BEC Quality Control;Team,2016

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2. ESA Arctic+ Salinity Product V4: Reducing the Contamination Close to the Ice-Edge;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

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4. Comparison of Machine Learning Inversion Methods for Salinity in the Central Indian Ocean Based on SMOS Satellite Data;Canadian Journal of Remote Sensing;2024-02-08

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