Application of remote sensing indicators and deep learning algorithms to model the spatial distribution of soil moisture
Crossref DOI link: https://doi.org/10.1007/s12145-025-01842-9
Published Online: 2025-05-19
Published Print: 2025-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Nasiri Khiavi, Ali
Text and Data Mining valid from 2025-05-19
Version of Record valid from 2025-05-19
Article History
Received: 27 November 2024
Accepted: 10 March 2025
First Online: 19 May 2025
Declarations
:
: Not applicable.
: The authors declare no competing interests.