[HTML][HTML] Deterministic Physically Based Distributed Models for Rainfall-Induced Shallow Landslides
Facing global warming's consequences is a major issue in the present times. Regarding the
climate, projections say that heavy rainfalls are going to increase with high probability …
climate, projections say that heavy rainfalls are going to increase with high probability …
[HTML][HTML] Applications based on EGMS products: a review
M Crosetto, B Crippa, M Mróz… - Remote Sensing …, 2025 - Elsevier
Abstract The European Ground Motion Service (EGMS) represents the largest wide area
Persistent Scatterer Interferometry service ever conceived. It is part of the Copernicus Land …
Persistent Scatterer Interferometry service ever conceived. It is part of the Copernicus Land …
[HTML][HTML] Rapid post-disaster infrastructure damage characterisation using remote sensing and deep learning technologies: A tiered approach
Critical infrastructure is vital for connectivity and economic growth but faces systemic threats
from human-induced damage, climate change and natural disasters. Rapid, multi-scale …
from human-induced damage, climate change and natural disasters. Rapid, multi-scale …
The Displacement Analysis and Prediction of a Creeping Ancient Landslide at Suoertou, Zhouqu County, China
Y Fang, L Zhang, Y He, W Yang, T Huo… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
The ancient Suoertou landslide seriously threatens the surrounding population's lives and
property. Monitoring and predicting this landslide is crucial to ensure the affected areas' …
property. Monitoring and predicting this landslide is crucial to ensure the affected areas' …
A comparative study on rockfall block motion characteristics using 3-D and 2-D rockfall simulations: a case study from Cappadocia (Mazı, Türkiye)
Within the scope of this research, rockfalls in Mazı village of Ürgüp (Türkiye) district were
simulated on a digital surface model constructed using high resolution (2.9 cm) point cloud …
simulated on a digital surface model constructed using high resolution (2.9 cm) point cloud …
[HTML][HTML] A novel method for landslide deformation monitoring by fusing UAV photogrammetry and LiDAR data based on each sensor's mapping advantage in regards …
Landslides are global hazards that contribute significantly to worldwide catastrophes. Since
landslides cause fatalities and property damage, understanding movement patterns is …
landslides cause fatalities and property damage, understanding movement patterns is …
[HTML][HTML] Unmanned Aerial Geophysical Remote Sensing: A Systematic Review
Geophysical surveys, a means of analyzing the Earth and its environments, have
traditionally relied on ground-based methodologies. However, up-to-date approaches …
traditionally relied on ground-based methodologies. However, up-to-date approaches …
Rapid post-disaster infrastructure damage characterisation enabled by remote sensing and deep learning technologies--a tiered approach
Critical infrastructure, such as transport networks and bridges, are systematically targeted
during wars and suffer damage during extensive natural disasters because it is vital for …
during wars and suffer damage during extensive natural disasters because it is vital for …
[HTML][HTML] Three-Dimensional Deformation Estimation from Multi-Temporal Real-Scene Models for Landslide Monitoring
This study proposes a three-dimensional (3D) deformation estimation framework based on
the integration of shape and texture information for real-scene 3D model matching …
the integration of shape and texture information for real-scene 3D model matching …
[HTML][HTML] UAV, GNSS, and GIS for the Rapid Assessment of Multi-Occurrence Landslides
Intense long-duration rainfall or extreme precipitation in a few hours can provoke many
simultaneous shallow landslides. In the past, the term multi-occurrence regional landslides …
simultaneous shallow landslides. In the past, the term multi-occurrence regional landslides …