A machine learning framework for downscaling and predicting groundwater levels using random forest and satellite data: a case study in Iran
Crossref DOI link: https://doi.org/10.1007/s10040-026-03015-4
Published Online: 2026-02-05
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Rostami Khalaj, Mohammad https://orcid.org/0000-0003-1752-0136
Noor, Hamzeh
Arjmand Sharif, Mohmood
Text and Data Mining valid from 2026-02-05
Version of Record valid from 2026-02-05
Article History
Received: 3 May 2025
Accepted: 5 January 2026
First Online: 5 February 2026
Declarations
:
: On behalf of all authors, the corresponding author states that there are no conflicts of interest.