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A novel deep learning based spatial ensemble approach and segment anything model for landslide risk assessment in Chamoli district of Garhwal Himalayas

Crossref DOI link: https://doi.org/10.1038/s41598-025-01958-4

Published Online: 2025-12-11

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

Authors

Mandal, Sayantan

Saha, Ashis Kumar
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Text and Data Mining valid from 2025-12-11

Version of Record valid from 2025-12-11
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Article History

Received: 18 November 2024

Accepted: 9 May 2025

First Online: 11 December 2025

Declarations

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: The authors declare no competing interests.

: Informed consent has been obtained from all study participants and/or their legal guardians for the inclusion of identifying information and/or images in this manuscript. The consent includes permission for the publication of this information/images in an online open-access publication.

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