Landslide detection, monitoring and prediction with remote-sensing techniques
Landslides are widespread occurrences that can become catastrophic when they occur near
settlements and infrastructure. Detection, monitoring and prediction are fundamental to …
settlements and infrastructure. Detection, monitoring and prediction are fundamental to …
Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance
Landslides are one of the catastrophic natural hazards that occur in mountainous areas,
leading to loss of life, damage to properties, and economic disruption. Landslide …
leading to loss of life, damage to properties, and economic disruption. Landslide …
[HTML][HTML] Evaluation of the Apple iPhone 12 Pro LiDAR for an application in geosciences
Traditionally, topographic surveying in earth sciences requires high financial investments,
elaborate logistics, complicated training of staff and extensive data processing. Recently, off …
elaborate logistics, complicated training of staff and extensive data processing. Recently, off …
[HTML][HTML] Deep learning for geological hazards analysis: Data, models, applications, and opportunities
As natural disasters are induced by geodynamic activities or abnormal changes in the
environment, geological hazards tend to wreak havoc on the environment and human …
environment, geological hazards tend to wreak havoc on the environment and human …
Semantic segmentation for real point cloud scenes via bilateral augmentation and adaptive fusion
Given the prominence of current 3D sensors, a fine-grained analysis on the basic point
cloud data is worthy of further investigation. Particularly, real point cloud scenes can …
cloud data is worthy of further investigation. Particularly, real point cloud scenes can …
[HTML][HTML] A review of statistically-based landslide susceptibility models
In this paper, we do a critical review of statistical methods for landslide susceptibility
modelling and associated terrain zonations. Landslide susceptibility is the likelihood of a …
modelling and associated terrain zonations. Landslide susceptibility is the likelihood of a …
[HTML][HTML] Remote sensing for landslide investigations: A progress report from China
China has a significant portion of land in landslide-prone areas, and remote sensing
technologies are becoming a tool of choice to investigate and monitor landslides. Although …
technologies are becoming a tool of choice to investigate and monitor landslides. Although …
Landslide susceptibility evaluation and hazard zonation techniques–a review
L Shano, TK Raghuvanshi, M Meten - Geoenvironmental Disasters, 2020 - Springer
Landslides are the most destructive geological hazard in the hilly regions. For systematic
landslide mitigation and management, landslide evaluation and hazard zonation is required …
landslide mitigation and management, landslide evaluation and hazard zonation is required …
Geometric back-projection network for point cloud classification
As the basic task of point cloud analysis, classification is fundamental but always
challenging. To address some unsolved problems of existing methods, we propose a …
challenging. To address some unsolved problems of existing methods, we propose a …
Landslide prediction, monitoring and early warning: a concise review of state-of-the-art
Landslide is one of the repeated geological hazards during rainy season, which causes
fatalities, damage to property and economic losses in Korea. Landslides are responsible for …
fatalities, damage to property and economic losses in Korea. Landslides are responsible for …