Prediction of the future landslide susceptibility scenario based on LULC and climate projections
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geotechnical Engineering and Engineering Geology
Link
https://link.springer.com/content/pdf/10.1007/s10346-023-02088-6.pdf
Reference95 articles.
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3. Al-Najjar HA, Kalantar B, Pradhan B, Saeidi V (2019) Conditioning factor determination for mapping and prediction of landslide susceptibility using machine learning algorithms. In Earth resources and environmental remote sensing/GIS applications X 11156:97–107. SPIE. https://doi.org/10.1117/12.2532687
4. Andersson-Sköld Y, Bergman R, Johansson M, Persson E, Nyberg L (2013) Landslide risk management—a brief overview and example from Sweden of current situation and climate change. Int J Disaster Risk Reduct 3:44–61.https://doi.org/10.1016/j.ijdrr.2012.11.002
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