Intercomparison of Data-Driven and Learning-Based Interpolations of Along-Track Nadir and Wide-Swath SWOT Altimetry Observations

Intercomparison of Data-Driven and Learning-Based Interpolations of Along-Track Nadir and Wide-Swath SWOT Altimetry Observations

Over the last few years, a very active field of research has aimed at exploring new data-driven and learning-based methodologies to propose computationally efficient strategies able to benefit from the large amount of observational remote sensing and numerical simulations for the reconstruction, int...

Full description

Bibliographic Details
Main Authors: Maxime Beauchamp, Ronan Fablet, Clément Ubelmann, Maxime Ballarotta, Bertrand Chapron
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Remote Sensing
Subjects:
data-driven and learning-based approaches
interpolation
benchmarking
Nadir and SWOT altimetric satellite data
sea surface height (SSH)
Online Access:https://www.mdpi.com/2072-4292/12/22/3806

Internet

https://www.mdpi.com/2072-4292/12/22/3806

Similar Items