Results 221 to 230 of about 18,543 (287)

Exploring the relative importance of environmental variables across scales in landslide susceptibility mapping

, 2012
Filippo Catani, Daniela Lagomarsino, D. Petracca, Samuele Segoni, Veronica Tofani   +4 more
openalex   +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

Landslide mapping for susceptibility and hazard assessment: North York Moors, UK

, 2018
Hannah Jordan, David Boon, Claire Dashwood, Tom Dijkstra, Katy Freeborough, Peter Hobbs, Gareth Jenkins, K. Lee, Catherine Pennington, Helen Reeves   +9 more
openalex   +2 more sources

Improving pixel-based regional landslide susceptibility mapping

Geoscience Frontiers
Xin Wei, Paolo Gardoni, Lulu Zhang, Lin Tan, Dongsheng Liu, Chunlan Du, Hai Li   +6 more
openaire   +1 more source

Prediction of landslide susceptibility through ANN models optimized by evolutionary algorithms. [PDF]

Sci Rep
Cifci MA, Hu X, Öney B, Misak S, Moayedi H, Dehrashid HA.   +5 more
europepmc   +1 more source

National-scale landslide susceptibility and risk mapping of India using a hybrid data-driven approach. [PDF]

Sci Rep
Khan I, Bahuguna H, Kainthola A, Ahmed R, Asgher MS.   +4 more
europepmc   +1 more source

Landslide Susceptibility Evaluation Integrating Machine Learning and SBAS-InSAR-Derived Deformation Characteristics: A Case Study of Yining County, Xinjiang. [PDF]

Sensors (Basel)
Ma T, Yi X, Ci H, Wang R, Yang H, Yan Z.
europepmc   +1 more source

Mapping landslide susceptibility and risk assessment on fragile ecosystem of Himalayan River basins

Zainab Khan, Md Nawazuzzoha, Kamal Abdelrahman, Sk Ajim Ali, Mohammed S. Fnais, Syed Kausar Shamim, Ateeque Ahmad, Peter Andráš   +7 more
openalex   +1 more source

Toward Pragmatic Landslide Susceptibility Mapping for Railway Planning: A Comparative Analysis of Statistical and Machine Learning Methods - The Case Study of the Marche Region, Italy

Rodolfo Rani, Marco Sciarra, Stefano Rodani, Matteo Berti   +3 more
openalex   +1 more source

Integration of SBAS-InSAR and RFE-RF-XGBoost for Landslide Vulnerability Assessment: A Case Study in Zhaotong City, Yongshan County. [PDF]

Sensors (Basel)
Huang J, Shi M, Ma Y, Huang C, Qian W, Sun F, Zuo X.   +6 more
europepmc   +1 more source