[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 …

Earthquake‐induced chains of geologic hazards: Patterns, mechanisms, and impacts

X Fan, G Scaringi, O Korup, AJ West… - Reviews of …, 2019 - Wiley Online Library
Large earthquakes initiate chains of surface processes that last much longer than the brief
moments of strong shaking. Most moderate‐and large‐magnitude earthquakes trigger …

[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 …

A survey on object detection in optical remote sensing images

G Cheng, J Han - ISPRS journal of photogrammetry and remote sensing, 2016 - Elsevier
Object detection in optical remote sensing images, being a fundamental but challenging
problem in the field of aerial and satellite image analysis, plays an important role for a wide …

[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 …

[HTML][HTML] Landslide identification using machine learning

H Wang, L Zhang, K Yin, H Luo, J Li - Geoscience Frontiers, 2021 - Elsevier
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 …

[HTML][HTML] Landslide detection in the Himalayas using machine learning algorithms and U-Net

SR Meena, LP Soares, CH Grohmann, C Van Westen… - Landslides, 2022 - Springer
Event-based landslide inventories are essential sources to broaden our understanding of
the causal relationship between triggering events and the occurring landslides. Moreover …

[HTML][HTML] Rainfall induced landslide studies in Indian Himalayan region: a critical review

A Dikshit, R Sarkar, B Pradhan, S Segoni, AM Alamri - Applied Sciences, 2020 - mdpi.com
Landslides are one of the most devastating and recurring natural disasters and have
affected several mountainous regions across the globe. The Indian Himalayan region is no …

[HTML][HTML] Recommendations for the quantitative analysis of landslide risk

J Corominas, C van Westen, P Frattini… - Bulletin of engineering …, 2014 - Springer
This paper presents recommended methodologies for the quantitative analysis of landslide
hazard, vulnerability and risk at different spatial scales (site-specific, local, regional and …

[HTML][HTML] Landslide inventory maps: New tools for an old problem

F Guzzetti, AC Mondini, M Cardinali, F Fiorucci… - Earth-Science …, 2012 - Elsevier
Landslides are present in all continents, and play an important role in the evolution of
landscapes. They also represent a serious hazard in many areas of the world. Despite their …