Landslide hazard and susceptibility maps derived from satellite and remote sensing data using limit equilibrium analysis and machine learning model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Water Science and Technology
Link
https://link.springer.com/content/pdf/10.1007/s11069-022-05671-7.pdf
Reference44 articles.
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2. Bittelli M, Valentino R, Salvatorelli F, Pisa PR (2012) Monitoring soil-water and displacement conditions leading to landslide occurrence in partially saturated clays. Geomorphology 173:161–173. https://doi.org/10.1016/j.geomorph.2012.06.006
3. Burton A, Arkell TJ, Bathurst JC (1998) Field variability of landslide model parameters. Environ Geol 35:100–114
4. Carrara A, Cardinali M, Detti R, Guzzetti F, Pasqui V, Reichenbach P (1991) GIS techniques and statistical models in evaluating landslide hazard. Earth Surf Proc Land 16(5):427–445
5. Chan SK, Bindlish R, O’Neill PE, Njoku E, Jackson T, Colliander A, Kerr Y (2016) Assessment of the SMAP passive soil moisture product. IEEE Trans Geosci Remote Sens 54(8):4994–5007
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