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Landslides. Journal of the International Consortium on Landslides
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Springer-Verlag
Homepage URLs
https://www.springer.com/earth+sciences+and+geography/natural+hazards/journal/10346 |
https://link.springer.com/journal/10346 |
Example Publications
Landslide detection using deep learning and object-based image analysis
Omid Ghorbanzadeh, Hejar Shahabi, Alessandro Crivellari, Saeid Homayouni, Thomas Blaschke, Pedram Ghamisi
2022
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Landslides. Journal of the International Consortium on Landslides
doi:10.1007/s10346-021-01843-x
Individual risk evaluation for landslides: key details
Alexander Strouth, Scott McDougall
2022
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Landslides. Journal of the International Consortium on Landslides
doi:10.1007/s10346-021-01838-8 pmcid:PMC8771620
Exploring a landslide inventory created by automated web data mining: the case of Italy
Rachele Franceschini, Ascanio Rosi, Filippo Catani, Nicola Casagli
2022
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Landslides. Journal of the International Consortium on Landslides
doi:10.1007/s10346-021-01799-y
Life span of a landslide dam on mountain valley caught on seismic signals and its possible early warnings
Che-Ming Yang, Jui-Ming Chang, Chi-Yao Hung, Chih-Heng Lu, Vvn Weian Chao, Keng-Hao Kang
2022
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Landslides. Journal of the International Consortium on Landslides
doi:10.1007/s10346-021-01818-y
A new global landslide dam database (RAGLAD) and analysis utilizing auxiliary global fluvial datasets
Hang Wu, Mark Trigg, William Murphy, Raul Fuentes
2022
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Landslides. Journal of the International Consortium on Landslides
doi:10.1007/s10346-021-01817-z