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Enhancing gully erosion susceptibility prediction and agricultural land loss assessment through machine learning and remote sensing techniques

Crossref DOI link: https://doi.org/10.1007/s11069-026-08172-z

Published Online: 2026-05-07

Published Print: 2026-05

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

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