|
|||||
|
|
A hybrid framework integrating physical model and convolutional neural network for regional landslide susceptibility mapping |
|
| Authors: | Wei Xin Zhang Lulu Luo Junyao Liu Dongsheng |
| Affiliation: | 1.State Key Laboratory of Ocean Engineering, Department of Civil Engineering, Shanghai Jiao Tong University, Room B522, Mulan Building, 800 Dongchuan Road, Shanghai, 200240, China ;2.Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration (CISSE), Shanghai, 200240, China ;3.Shanghai Key Laboratory for Digital Maintenance of Buildings and Infrastructure, Shanghai, 200240, China ;4.Chongqing Bureau of Geology and Mineral Resources, Chongqing, China ; |
| Abstract: | Natural Hazards - Landslide susceptibility mapping (LSM) is critical for risk assessment and mitigation. Generalization ability and prediction uncertainty are the current challenges for LSM but... |
| Keywords: | |
| 本文献已被 SpringerLink 等数据库收录！ | |