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Assessment of Machine Learning Techniques in Mapping Land Use/Land Cover Changes in a Semi-Arid Environment

Crossref DOI link: https://doi.org/10.1007/s41748-024-00562-2

Published Online: 2025-01-02

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

Authors

Baccari, Noamen https://orcid.org/0000-0001-6683-1104
Hamza, Mohamed Hafedh https://orcid.org/0000-0001-8259-5586
Slama, Tarek https://orcid.org/0000-0002-8919-6606
Sebei, Abdelaziz https://orcid.org/0000-0002-8263-9590
Ouerghi, Sarra https://orcid.org/0000-0002-1404-3285
Elsheikh, Ranya https://orcid.org/0000-0002-5815-2926
Rebai, Noamen https://orcid.org/0000-0001-6168-853X
Hasanean, Hoseny https://orcid.org/0000-0003-1745-0502
Almazroui, Mansour https://orcid.org/0000-0002-3962-4588
Elhag, Mohamed https://orcid.org/0000-0001-9048-0084
License Information

Text and Data Mining valid from 2025-01-02

Version of Record valid from 2025-01-02
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Article History

Received: 29 September 2024

Revised: 26 November 2024

Accepted: 10 December 2024

First Online: 2 January 2025

Declarations

:

: On behalf of all authors, the corresponding author declares that there are no conflicts of interest.

: There is no approval committee.