[HTML][HTML] Landslide susceptibility assessment by using convolutional neural network

S Nikoobakht, M Azarafza, H Akgün, R Derakhshani - Applied Sciences, 2022 - mdpi.com
This study performs a GIS-based landslide susceptibility assessment using a convolutional
neural network, CNN, in a study area of the Gorzineh-khil region, northeastern Iran. For this …

A global empirical model for near‐real‐time assessment of seismically induced landslides

MA Nowicki Jessee, MW Hamburger… - Journal of …, 2018 - Wiley Online Library
Earthquake‐triggered landslides are a significant hazard in seismically active regions, but
our ability to assess the hazard they pose in near‐real‐time is limited. In this study, we …

GIS-based frequency ratio and index of entropy models for landslide susceptibility assessment in the Caspian forest, northern Iran

A Jaafari, A Najafi, HR Pourghasemi… - International Journal of …, 2014 - Springer
This study presents a landslide susceptibility assessment for the Caspian forest using
frequency ratio and index of entropy models within geographical information system. First …

Presentation and analysis of a worldwide database of earthquake‐induced landslide inventories

H Tanyaş, CJ van Westen, KE Allstadt… - Journal of …, 2017 - Wiley Online Library
Earthquake‐induced landslide (EQIL) inventories are essential tools to extend our
knowledge of the relationship between earthquakes and the landslides they can trigger …

[HTML][HTML] Database and spatial distribution of landslides triggered by the Lushan, China Mw 6.6 earthquake of 20 April 2013

C Xu, X Xu, JBH Shyu - Geomorphology, 2015 - Elsevier
On 20 April 2013, an earthquake with Mw 6.6 (Ms 7.0) hit Lushan County, Sichuan Province
of China (30.3° N, 103° E), only 85 km southwest of the 2008 Wenchuan Mw 7.9 event. The …

Rapidly assessing earthquake-induced landslide susceptibility on a global scale using random forest

Q He, M Wang, K Liu - Geomorphology, 2021 - Elsevier
Earthquake-induced landslides (EQILs) are an incredibly destructive geological disaster.
Rapid landslide susceptibility assessments are indispensable and critical for risk analysis …

Landslide susceptibility mapping based on landslide history and analytic hierarchy process (AHP)

D Myronidis, C Papageorgiou, S Theophanous - Natural Hazards, 2016 - Springer
Landslide phenomena are responsible for significant economic damages, loss of human
lives and irreversible changes in natural environment. In this manuscript, in a landslide …

Factors controlling landslide frequency–area distributions

H Tanyaş, CJ van Westen, KE Allstadt… - Earth surface …, 2019 - Wiley Online Library
A power‐law relation for the frequency–area distribution (FAD) of medium and large
landslides (eg tens to millions of square meters) has been observed by numerous authors …

A global slope unit-based method for the near real-time prediction of earthquake-induced landslides

H Tanyas, M Rossi, M Alvioli, CJ van Westen… - Geomorphology, 2019 - Elsevier
Rapid assessment of spatial distribution of earthquake-induced landslides could provide
valuable information in the emergency response phase. Previous studies proposed global …

Mapping an earthquake-induced landslide based on UAV imagery; case study of the 2015 Okeanos landslide, Lefkada, Greece

S Valkaniotis, G Papathanassiou, A Ganas - Engineering geology, 2018 - Elsevier
Abstract On November 17, 2015 07: 10 UTC an earthquake of M w 6.5 induced slope
failures mainly at the western part of the island of Lefkada, Ionian Sea, Greece. The most …