Distinguishing compound and cumulative hazards using machine learning and fuzzy logic in multi-hazard susceptibility mapping. [PDF]
Einali J +6 more
europepmc +1 more source
GIS-based landslide susceptibility zonation using weighted overlay analysis with AHP: a case study of Malappuram district, Kerala, India. [PDF]
Shanu K +3 more
europepmc +1 more source
Assessing InSAR observability of landslides interfering with bridges. [PDF]
Cernuto E +3 more
europepmc +1 more source
Unraveling Spatiotemporal Heterogeneity and Driving Mechanism of Vegetation Recovery in Co-Seismic Landslide Areas via Nonlinear Trajectories and Bayesian Networks. [PDF]
Wan M, Zhao W, Wu J, Yang Y, Zhao J.
europepmc +1 more source
Principled XAI analysis of the deep learning-based landslide susceptibility prediction model. [PDF]
Oh J, Lee JH, Park HJ, Yoon D.
europepmc +1 more source
A systematic assessment of regional landslide risk under typhoon rainfall: a case study of Taishun, Zhejiang, China in September 2016. [PDF]
Xie C +8 more
europepmc +1 more source
L-SAINet: A Shape-Adaptive and Inner-Scale Interaction Network for Landslide Detection in Complex Remote Sensing Scenarios. [PDF]
Jia Y, Hua S, Wang H, Jiang T, Zhao Q.
europepmc +1 more source
Assessing future landslide susceptibility and risk escalations under changing LULC and climate conditions in the Western Ghats of Karnataka in India. [PDF]
Pramanik M, Hegde A.
europepmc +1 more source
Increasing landslide susceptibility and intensity under climate change for Aotearoa New Zealand. [PDF]
Dreyer L +4 more
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