[HTML][HTML] Ensemble learning framework for landslide susceptibility mapping: Different basic classifier and ensemble strategy

T Zeng, L Wu, D Peduto, T Glade, YS Hayakawa… - Geoscience …, 2023 - Elsevier
The application of ensemble learning models has been continuously improved in recent
landslide susceptibility research, but most studies have no unified ensemble framework …

Monitoring deformations of infrastructure networks: A fully automated GIS integration and analysis of InSAR time-series

V Macchiarulo, P Milillo… - Structural Health …, 2022 - journals.sagepub.com
Ageing stock and extreme weather events pose a threat to the safety of infrastructure
networks. In most countries, funding allocated to infrastructure management is insufficient to …

Use of UAV-based photogrammetry products for semi-automatic detection and classification of asphalt road damage in landslide-affected areas

N Nappo, O Mavrouli, F Nex, C van Westen… - Engineering …, 2021 - Elsevier
Transportation networks are severely affected by natural hazards, including landslides. The
prioritization of maintenance works is required to preserve the efficiency and functionality of …

Physical Vulnerability Database for Critical Infrastructure Multi-Hazard Risk Assessments–A systematic review and data collection

S Nirandjan, EE Koks, M Ye, R Pant… - … Hazards and Earth …, 2024 - nhess.copernicus.org
Critical infrastructure (CI) is exposed to natural hazards that may lead to the devastation of
these infrastructures and burden society with the indirect consequences that stem from this …

Quantitative risk assessment of the Shilongmen reservoir landslide in the Three Gorges area of China

T Zeng, K Yin, L Gui, D Peduto, L Wu, Z Guo… - Bulletin of Engineering …, 2023 - Springer
Many landslides have been triggered by the fluctuation of reservoir water level in the Three
Gorges Reservoir area (TGRA) of China. The current research lacks the quantitative risk …

Total probabilistic measure for the potential risk of regional roads exposed to landslides

Q Liu, A Tang, D Huang, Z Huang, B Zhang… - Reliability Engineering & …, 2022 - Elsevier
This paper presents a probabilistic analysis of the landslide risk encountered by regional
roads, and the landslide risk of roads is regarded as a function of landslide hazard and road …

Enhancing risk analysis toward a landscape digital twin framework: A multi-hazard approach in the context of a socio-economic perspective

FM Ugliotti, A Osello, M Daud, OO Yilmaz - Sustainability, 2023 - mdpi.com
In the last decades, climate and environmental changes have highlighted the fragility and
vulnerability of the landscape, especially in mountain areas where the effects are most …

[HTML][HTML] Physical vulnerability database for critical infrastructure hazard risk assessments–a systematic review and data collection

S Nirandjan, EE Koks, M Ye, R Pant… - … Hazards and Earth …, 2024 - nhess.copernicus.org
Critical infrastructure (CI) is exposed to natural hazards that may lead to the devastation of
these infrastructures and burden society with the indirect consequences that stem from this …

Assessing debris flow risk at a catchment scale for an economic decision based on the LiDAR DEM and numerical simulation

Y Tang, Z Guo, L Wu, B Hong, W Feng, X Su… - Frontiers in Earth …, 2022 - frontiersin.org
Various risk management measures have been applied to reduce risks associated with the
debris flow; however, only a few studies have adopted the economic benefit to evaluate …

A methodological approach of QRA for slow-moving landslides at a regional scale

F Caleca, V Tofani, S Segoni, F Raspini, A Rosi… - Landslides, 2022 - Springer
Landslides represent a serious worldwide hazard, especially in Italy, where exposure to
hydrogeological risk is very high; for this reason, a landslide quantitative risk assessment …