Improved landslide susceptibility assessment: A new negative sample collection strategy and a comparative analysis of zoning methods
Landslide susceptibility assessment (LSA) aims to determine the spatial probability of landslides, reducing the loss caused by future landslides. In order to assess the impact of various negative sample collection strategies on the prediction accuracy of the landslide susceptibility assessment (LSA)...
Saved in:
| Main Authors: | Jiani Wang, Yunqi Wang, Manyi Li, Zihan Qi, Cheng Li, Haimei Qi, Xiaoming Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
|
| Series: | Ecological Indicators |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X24014055 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Insights from Optimized Non-Landslide Sampling and SHAP Explainability for Landslide Susceptibility Prediction
by: Mengyuan Li, et al.
Published: (2025-01-01) -
The Influence of Non-Landslide Sample Selection Methods on Landslide Susceptibility Prediction
by: Yu Fu, et al.
Published: (2025-03-01) -
Enhancing landslide susceptibility modelling through a novel non-landslide sampling method and ensemble learning technique
by: Chao Zhou, et al.
Published: (2024-01-01) -
A Landslide Susceptibility Mapping Method Based on Geographic Information System and Data Enhancement Techniques: A Case Study of Guangzhou City, China
by: Long Chen, et al.
Published: (2024-12-01) -
Considering the effect of non-landslide sample selection on landslide susceptibility assessment
by: Youchen Zhu, et al.
Published: (2024-12-01)