[HTML][HTML] Geographical landslide early warning systems

F Guzzetti, SL Gariano, S Peruccacci, MT Brunetti… - Earth-Science …, 2020 - Elsevier
The design, implementation, management, and verification of landslide early warning
systems (LEWSs) are gaining increasing attention in the literature and among government …

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 …

Deep learning forecast of rainfall-induced shallow landslides

AC Mondini, F Guzzetti, M Melillo - Nature communications, 2023 - nature.com
Rainfall triggered landslides occur in all mountain ranges posing threats to people and the
environment. Given the projected climate changes, the risk posed by landslides is expected …

The post-failure spatiotemporal deformation of certain translational landslides may follow the pre-failure pattern

L Wang, H Qiu, W Zhou, Y Zhu, Z Liu, S Ma, D Yang… - Remote Sensing, 2022 - mdpi.com
Investigating landslide deformation patterns in different evolution stages is important for
understanding landslide movement. Translational landslides generally slide along a …

[HTML][HTML] Exploring the utility of radar and satellite-sensed precipitation and their dynamic bias correction for integrated prediction of flood and landslide hazards

S Wang, K Zhang, L Chao, D Li, X Tian, H Bao… - Journal of …, 2021 - Elsevier
It is important to develop the integrated flood and landslide modeling system driven by radar
and satellite to predict these hazards to mitigate their damages. In this study, we investigated …

[HTML][HTML] A review of quantification methodologies for multi-hazard interrelationships

A Tilloy, BD Malamud, H Winter, A Joly-Laugel - Earth-Science Reviews, 2019 - Elsevier
Globally and yearly, individual hazards and hazard interrelations have the potential to result
in socio-economic losses. Here, in this critical review, we use grey-and peer-review …

Landslide susceptibility assesssment in the Uttarakhand area (India) using GIS: a comparison study of prediction capability of naïve bayes, multilayer perceptron …

BT Pham, D Tien Bui, HR Pourghasemi, P Indra… - Theoretical and Applied …, 2017 - Springer
The objective of this study is to make a comparison of the prediction performance of three
techniques, Functional Trees (FT), Multilayer Perceptron Neural Networks (MLP Neural …

Satellite‐based assessment of rainfall‐triggered landslide hazard for situational awareness

D Kirschbaum, T Stanley - Earth's Future, 2018 - Wiley Online Library
Determining the time, location, and severity of natural disaster impacts is fundamental to
formulating mitigation strategies, appropriate and timely responses, and robust recovery …

Hydrogeomorphic response to extreme rainfall in headwater systems: Flash floods and debris flows

M Borga, M Stoffel, L Marchi, F Marra, M Jakob - Journal of Hydrology, 2014 - Elsevier
Flash floods and debris flows develop at space and time scales that conventional
observation systems for rainfall, streamflow and sediment discharge are not able to monitor …

The rainfall intensity–duration control of shallow landslides and debris flows: an update

F Guzzetti, S Peruccacci, M Rossi, CP Stark - Landslides, 2008 - Springer
A global database of 2,626 rainfall events that have resulted in shallow landslides and
debris flows was compiled through a thorough literature search. The rainfall and landslide …