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Miscellanea Geographica
Volume 28 (2024): Issue 2 (April 2024)
Open Access
Using machine learning techniques
to reconstruct the signal observed by the GRACE mission based on AMSR-E microwave data
Viktor Szabó
Viktor Szabó
Department of Geodesy and Geodetic Astronomy, Faculty of Geodesy and Cartography, Warsaw University of Technology
Warsaw, Poland
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Szabó, Viktor
,
Katarzyna Osińska-Skotak
Katarzyna Osińska-Skotak
Department of Photogrammetry, Remote Sensing and Spatial Information Systems, Faculty of Geodesy and Cartography, Warsaw University of Technology
Warsaw, Poland
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Osińska-Skotak, Katarzyna
and
Tomasz Olszak
Tomasz Olszak
Department of Geodesy and Geodetic Astronomy, Faculty of Geodesy and Cartography, Warsaw University of Technology
Warsaw, Poland
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Olszak, Tomasz
Apr 30, 2024
Miscellanea Geographica
Volume 28 (2024): Issue 2 (April 2024)
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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
GRACE
,
AMSR-E
,
total water storage anomalies
,
soil moisture
,
remote sensors
© 2024 Viktor Szabó et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.