Machine learning insights into land surface temperature variability and prediction: a spatiotemporal approach with feature importance and uncertainty analysis
Crossref DOI link: https://doi.org/10.1007/s10661-026-15205-4
Published Online: 2026-04-20
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Rezaee, Ali
Goodarzi, Mohammad Reza
Alavizadeh, Seyed Mohammad
Goldani, Mojtaba
Text and Data Mining valid from 2026-04-20
Version of Record valid from 2026-04-20
Article History
Received: 16 July 2025
Accepted: 16 March 2026
First Online: 20 April 2026
Declarations
:
: The authors declare no competing interests.