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Estimation of the Spatiotemporal Variability of Surface soil Moisture Using Machine Learning Methods Integrating Satellite and Ground-based Soil Moisture and Environmental Data

Crossref DOI link: https://doi.org/10.1007/s11269-024-04069-3

Published Online: 2025-01-06

Published Print: 2025-03

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Blanka-Végi, Viktória https://orcid.org/0000-0001-6364-109X
Tobak, Zalán

Sipos, György

Barta, Károly

Szabó, Brigitta

van Leeuwen, Boudewijn
Funding

Funding for this research was provided by:

University of Szeged
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Text and Data Mining valid from 2025-01-06

Version of Record valid from 2025-01-06
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Article History

Received: 16 August 2024

Accepted: 14 December 2024

First Online: 6 January 2025

Declarations

:

: This study did not involve any human participants or animals and thus ethical approval does not apply to this research.

: Not applicable, as this study did not involve human participants.

: Not applicable, as this study did not involve human participants or personal data.

: The authors have no relevant financial or non-financial interests to disclose.

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