Results 141 to 150 of about 1,693,251 (168)

Global satellite analysis reveals landslide susceptibility peaks at intermediate vegetation density. [PDF]

iScience
Yuan S, Wang Q, Gong Q, Gonzalez-Rodriguez MA, Song G, Zong Y, Hao Y, Wang J, Chen Y.   +8 more
europepmc   +1 more source

Hillslope memory of sequential earthquakes. [PDF]

Sci Adv
Wang X, Jansen JD, Chen L, Dai L, Bhuyan K, Fang C, Nava L, Catani F, Fan X.   +8 more
europepmc   +1 more source

Principled XAI analysis of the deep learning-based landslide susceptibility prediction model. [PDF]

Sci Rep
Oh J, Lee JH, Park HJ, Yoon D.
europepmc   +1 more source

GeoFusion-3D: Multi-Scale Geomorphic Feature Fusion for Landslide Scar Detection Using UAV-Mounted LiDAR. [PDF]

Sensors (Basel)
Shrivastava A, Gupta S, Obradovic Z.
europepmc   +1 more source

Effect of Construction Restrictions on Future Landslide Exposure Under Land-Use Simulation in Southwest China. [PDF]

Biology (Basel)
Jin J, Wang W, Zhang C, Wang C, Dong X, Yang Y, Gao J, Zhang Q.   +7 more
europepmc   +1 more source

Robust automated detection of small-scale rainfall-induced landslides in Italy Using SegFormer and high-resolution satellite imagery. [PDF]

Sci Rep
Riche A, Confuorto P, Guermoui M, Bianchini S.   +3 more
europepmc   +1 more source

Expression of Concern: Susceptibility mapping and zoning of highway landslide disasters in China. [PDF]

PLoS One
PLOS One Editors.
europepmc   +1 more source

GIS-based landslide susceptibility zonation using weighted overlay analysis with AHP: a case study of Malappuram district, Kerala, India. [PDF]

Sci Rep
Shanu K, Kumar PS, Rathi BS, Rangasamy G.   +3 more
europepmc   +1 more source

Remote sensing-based landslide prediction and risk assessment using a hybrid CNN-LSTM deep learning model. [PDF]

Sci Rep
Teng F, Ekraminia SS, Zarei A, Li Y.
europepmc   +1 more source

Mapping landslide susceptibility using data-driven methods

Science of the Total Environment, 2017
Most epistemic uncertainty within data-driven landslide susceptibility assessment results from errors in landslide inventories, difficulty in identifying and mapping landslide causes and decisions related with the modelling procedure.
Ricardo A C Garcia, José Luis Zêzere, Raquel Melo   +2 more
exaly   +2 more sources