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 …

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 …

Global fatal landslide occurrence from 2004 to 2016

MJ Froude, DN Petley - Natural Hazards and Earth System …, 2018 - nhess.copernicus.org
Landslides are a ubiquitous hazard in terrestrial environments with slopes, incurring human
fatalities in urban settlements, along transport corridors and at sites of rural industry …

Arable lands under the pressure of multiple land degradation processes. A global perspective

R Prăvălie, C Patriche, P Borrelli, P Panagos… - Environmental …, 2021 - Elsevier
While agricultural systems are a major pillar in global food security, their productivity is
currently threatened by many environmental issues triggered by anthropogenic climate …

[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 …

Exploring the multiple land degradation pathways across the planet

R Prăvălie - Earth-Science Reviews, 2021 - Elsevier
Land degradation has become one of the biggest environmental challenges human society
is currently facing, which is why understanding the global pattern of this land crisis is …

Landslide4sense: Reference benchmark data and deep learning models for landslide detection

O Ghorbanzadeh, Y Xu, P Ghamisi, M Kopp… - arXiv preprint arXiv …, 2022 - arxiv.org
This study introduces\textit {Landslide4Sense}, a reference benchmark for landslide
detection from remote sensing. The repository features 3,799 image patches fusing optical …

High aboveground carbon stock of African tropical montane forests

A Cuni-Sanchez, MJP Sullivan, PJ Platts, SL Lewis… - Nature, 2021 - nature.com
Tropical forests store 40–50 per cent of terrestrial vegetation carbon. However, spatial
variations in aboveground live tree biomass carbon (AGC) stocks remain poorly understood …

[HTML][HTML] Natural hazard risk assessments at the global scale

PJ Ward, V Blauhut, N Bloemendaal… - … Hazards and Earth …, 2020 - nhess.copernicus.org
Since 1990, natural hazards have led to over 1.6 million fatalities globally, and economic
losses are estimated at an average of around USD 260–310 billion per year. The scientific …

[HTML][HTML] Spatial prediction of landslide susceptibility in western Serbia using hybrid support vector regression (SVR) with GWO, BAT and COA algorithms

AL Balogun, F Rezaie, QB Pham, L Gigović… - Geoscience …, 2021 - Elsevier
In this study, we developed multiple hybrid machine-learning models to address parameter
optimization limitations and enhance the spatial prediction of landslide susceptibility models …