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 …
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
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 …
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 …
The present research examines the landslide susceptibility in Rudraprayag district of
Uttarakhand, India using the conditional probability (CP) statistical technique, the boost …
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
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 …
worldwide. We developed two novel hybrid predictive models that combine the self …
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 …
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
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 …
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
Practical landslide inventory maps covering large-scale areas are essential in emergency
response and geohazard analysis. Recently proposed techniques in landslide detection …
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
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 …
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
Landslide is a hazard that has drastic repercussions on population and the environment
worldwide. Landslide susceptibility mapping (LSM) is vital for landslide disaster …
worldwide. Landslide susceptibility mapping (LSM) is vital for landslide disaster …
A systematic review for assessing the impact of climate change on landslides: research gaps and directions for future research
A Sharma, H Sajjad, Roshani, MH Rahaman - Spatial Information …, 2024 - Springer
The magnitude and intensity of landslides due to changing climate have created
environmental and socio-economic implications for society. Through an in-depth analysis of …
environmental and socio-economic implications for society. Through an in-depth analysis of …