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 …

Vulnerability of buildings to landslides: The state of the art and future needs

HY Luo, LM Zhang, LL Zhang, J He, KS Yin - Earth-Science Reviews, 2023 - Elsevier
Landslides are one of the most destructive hazard processes that cause tremendous loss of
lives and damage to the built environment. As a crucial part of disaster risk management …

Prediction of landslide susceptibility in Rudraprayag, India using novel ensemble of conditional probability and boosted regression tree-based on cross-validation …

S Saha, A Arabameri, A Saha, T Blaschke… - Science of the total …, 2021 - Elsevier
The present research examines the landslide susceptibility in Rudraprayag district of
Uttarakhand, India using the conditional probability (CP) statistical technique, the boost …

Swarm intelligence optimization of the group method of data handling using the cuckoo search and whale optimization algorithms to model and predict landslides

A Jaafari, M Panahi, D Mafi-Gholami, O Rahmati… - Applied Soft …, 2022 - Elsevier
The robustness of landslide prediction models has become a major focus of researchers
worldwide. We developed two novel hybrid predictive models that combine the self …

Detecting the impact of climate change on alpine mass movements in observational records from the European Alps

M Jacquemart, S Weber, M Chiarle, M Chmiel… - Earth-Science …, 2024 - Elsevier
Anthropogenic climate change is rapidly altering high mountain environments, including
changing the frequency, dynamic behavior, location, and magnitude of alpine mass …

Relations between climate change and mass movement: Perspectives from the Canadian Cordillera and the European Alps

M Chiarle, M Geertsema, G Mortara… - Global and Planetary …, 2021 - Elsevier
Earth's climate is warming and will continue to warm as the century progresses. High
mountains and high latitudes are experiencing the greatest warming of all regions on Earth …

[HTML][HTML] A near-real-time global landslide incident reporting tool demonstrator using social media and artificial intelligence

CVL Pennington, R Bossu, F Ofli, M Imran… - International Journal of …, 2022 - Elsevier
The development of a system that monitors social media continuously for general landslide-
related content using a landslide classification model to identify and retain the most relevant …

Matrix SegNet: a practical deep learning framework for landslide mapping from images of different areas with different spatial resolutions

B Yu, F Chen, C Xu, L Wang, N Wang - Remote Sensing, 2021 - mdpi.com
Practical landslide inventory maps covering large-scale areas are essential in emergency
response and geohazard analysis. Recently proposed techniques in landslide detection …

[HTML][HTML] Data–driven classification of landslide types at a national scale by using Artificial Neural Networks

G Amato, L Palombi, V Raimondi - International Journal of Applied Earth …, 2021 - Elsevier
Classification of landslide type is an essential step in risk management, although is often
missing in large inventories. Here we propose a novel data-driven method that uses easily …

A novel landslide susceptibility optimization framework to assess landslide occurrence probability at the regional scale for environmental management

X Sun, L Yuan, S Tao, M Liu, D Li, Y Zhou… - Journal of environmental …, 2022 - Elsevier
Landslide is a hazard that has drastic repercussions on population and the environment
worldwide. Landslide susceptibility mapping (LSM) is vital for landslide disaster …