Physically Based and Data-Driven Models for Landslide Susceptibility Assessment: Principles, Applications, and Challenges

Physically Based and Data-Driven Models for Landslide Susceptibility Assessment: Principles, Applications, and Challenges

Susceptibility assessment is a crucial task for mitigating landslide hazards. It includes displacement prediction, stability analysis, and location prediction for individual hillslopes or regional mountainous areas. Physically based models can assess landslide susceptibility with limited datasets by...

Full description

Saved in:
Bibliographic Details
Main Authors: Chenzuo Ye, Hao Wu, Takashi Oguchi, Yuting Tang, Xiangjun Pei, Yufeng Wu
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Remote Sensing
Subjects:
landslide susceptibility
physically based model
data-driven models
hybrid models
model interpretability
Online Access:https://www.mdpi.com/2072-4292/17/13/2280
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items