Using machine learning techniques to reconstruct the signal observed by the GRACE mission based on AMSR-E microwave data
Viktor Szabó
Department of Geodesy and Geodetic Astronomy, Faculty of Geodesy and Cartography, Warsaw University of TechnologyWarsaw, Poland
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, Katarzyna Osińska-Skotak
Department of Photogrammetry, Remote Sensing and Spatial Information Systems, Faculty of Geodesy and Cartography, Warsaw University of TechnologyWarsaw, Poland
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and Tomasz Olszak
Department of Geodesy and Geodetic Astronomy, Faculty of Geodesy and Cartography, Warsaw University of TechnologyWarsaw, Poland
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Apr 30, 2024
About this article
Published Online: Apr 30, 2024
Page range: 80 - 86
Received: Jan 20, 2024
Accepted: Apr 21, 2024
DOI: https://doi.org/10.2478/mgrsd-2023-0033
Keywords
© 2024 Viktor Szabó et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Szabó, Viktor
Department of Geodesy and Geodetic Astronomy, Faculty of Geodesy and Cartography, Warsaw University of TechnologyWarsaw, Poland
Osińska-Skotak, Katarzyna
Department of Photogrammetry, Remote Sensing and Spatial Information Systems, Faculty of Geodesy and Cartography, Warsaw University of TechnologyWarsaw, Poland
Olszak, Tomasz
Department of Geodesy and Geodetic Astronomy, Faculty of Geodesy and Cartography, Warsaw University of TechnologyWarsaw, Poland