Landslide detection, monitoring and prediction with remote-sensing techniques

N Casagli, E Intrieri, V Tofani, G Gigli… - Nature Reviews Earth & …, 2023 - nature.com
Landslides are widespread occurrences that can become catastrophic when they occur near
settlements and infrastructure. Detection, monitoring and prediction are fundamental to …

Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance

A Merghadi, AP Yunus, J Dou, J Whiteley… - Earth-Science …, 2020 - Elsevier
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 …

[HTML][HTML] Evaluation of the Apple iPhone 12 Pro LiDAR for an application in geosciences

G Luetzenburg, A Kroon, AA Bjørk - Scientific reports, 2021 - nature.com
Traditionally, topographic surveying in earth sciences requires high financial investments,
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

Z Ma, G Mei - Earth-Science Reviews, 2021 - Elsevier
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 …

Semantic segmentation for real point cloud scenes via bilateral augmentation and adaptive fusion

S Qiu, S Anwar, N Barnes - … of the IEEE/CVF Conference on …, 2021 - openaccess.thecvf.com
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 …

[HTML][HTML] A review of statistically-based landslide susceptibility models

P Reichenbach, M Rossi, BD Malamud, M Mihir… - Earth-science …, 2018 - Elsevier
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 …

[HTML][HTML] Remote sensing for landslide investigations: A progress report from China

Q Xu, B Zhao, K Dai, X Dong, W Li, X Zhu, Y Yang… - Engineering …, 2023 - Elsevier
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 …

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 …

Geometric back-projection network for point cloud classification

S Qiu, S Anwar, N Barnes - IEEE Transactions on Multimedia, 2021 - ieeexplore.ieee.org
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 …

Landslide prediction, monitoring and early warning: a concise review of state-of-the-art

BG Chae, HJ Park, F Catani, A Simoni, M Berti - Geosciences Journal, 2017 - Springer
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 …