[HTML][HTML] Landslide identification using machine learning
Landslide identification is critical for risk assessment and mitigation. This paper proposes a
novel machine-learning and deep-learning method to identify natural-terrain landslides …
novel machine-learning and deep-learning method to identify natural-terrain landslides …
AI-powered landslide susceptibility assessment in Hong Kong
Landslide susceptibility assessment is essential for regional landslide risk assessment and
mitigation. Most past studies involved cell-based analysis that takes landslide incidents as …
mitigation. Most past studies involved cell-based analysis that takes landslide incidents as …
[HTML][HTML] Spatial landslide susceptibility assessment using machine learning techniques assisted by additional data created with generative adversarial networks
HAH Al-Najjar, B Pradhan - Geoscience Frontiers, 2021 - Elsevier
In recent years, landslide susceptibility mapping has substantially improved with advances
in machine learning. However, there are still challenges remain in landslide mapping due to …
in machine learning. However, there are still challenges remain in landslide mapping due to …
[HTML][HTML] An updating of landslide susceptibility prediction from the perspective of space and time
Due to the similarity of conditioning factors, the aggregation feature of landslides and the
multi-temporal landslide inventory, the spatial and temporal effects of landslides need to be …
multi-temporal landslide inventory, the spatial and temporal effects of landslides need to be …
FSLAM: A QGIS plugin for fast regional susceptibility assessment of rainfall-induced landslides
Shallow slope failures triggered by rainfall commonly pose considerable risks in
mountainous areas. In order to delineate areas where landslides are more prone to occur …
mountainous areas. In order to delineate areas where landslides are more prone to occur …
[HTML][HTML] Optimization of computational intelligence models for landslide susceptibility evaluation
X Zhao, W Chen - Remote Sensing, 2020 - mdpi.com
This paper focuses on landslide susceptibility prediction in Nanchuan, a high-risk landslide
disaster area. The evidential belief function (EBF)-based function tree (FT), logistic …
disaster area. The evidential belief function (EBF)-based function tree (FT), logistic …
Landslide susceptibility assessment based on an incomplete landslide inventory in the Jilong Valley, Tibet, Chinese Himalayas
J Du, T Glade, T Woldai, B Chai, B Zeng - Engineering Geology, 2020 - Elsevier
The Himalayan range is one of the most tectonically active mountain ranges on Earth. The
Jilong Valley is a deeply-dissected canyon in the Chinese Himalayas in Tibet, and in this …
Jilong Valley is a deeply-dissected canyon in the Chinese Himalayas in Tibet, and in this …
Transfer learning improves landslide susceptibility assessment
Landslide susceptibility assessment is often hindered by the lack of historical landslide
records. In this study, we propose a transfer learning-based approach for landslide …
records. In this study, we propose a transfer learning-based approach for landslide …
Assessing landslide susceptibility using combination models
H Hong - Forest Ecology and Management, 2023 - Elsevier
Assessing and mapping landslide susceptibility is a powerful approach to decrease the cost
of landslide disasters. The aim of this paper is to design combination models by combining …
of landslide disasters. The aim of this paper is to design combination models by combining …
Predicting landslide runout paths using terrain matching-targeted machine learning
Landslide debris will travel certain distances and threaten people and properties along its
runout path, highlighting the importance of runout path prediction in landslide risk …
runout path, highlighting the importance of runout path prediction in landslide risk …