Landslide detection, monitoring and prediction with remote-sensing techniques

N Casagli, E Intrieri, V Tofani, G Gigli… - Nature Reviews Earth & …, 2023 - nature.com
Landslides are widespread occurrences that can become catastrophic when they occur near
settlements and infrastructure. Detection, monitoring and prediction are fundamental to …

Big data in natural disaster management: a review

M Yu, C Yang, Y Li - Geosciences, 2018 - mdpi.com
Undoubtedly, the age of big data has opened new options for natural disaster management,
primarily because of the varied possibilities it provides in visualizing, analyzing, and …

The new landslide inventory of Tuscany (Italy) updated with PS-InSAR: geomorphological features and landslide distribution

A Rosi, V Tofani, L Tanteri, C Tacconi Stefanelli… - Landslides, 2018 - Springer
In this paper, the updating of the landslide inventory of Tuscany region is presented. To
achieve this goal, satellite SAR data processed with persistent scatter interferometry (PSI) …

Review of satellite interferometry for landslide detection in Italy

L Solari, M Del Soldato, F Raspini, A Barra… - Remote Sensing, 2020 - mdpi.com
Landslides recurrently impact the Italian territory, producing huge economic losses and
casualties. Because of this, there is a large demand for monitoring tools to support landslide …

[HTML][HTML] Integration of ground-based radar and satellite InSAR data for the analysis of an unexpected slope failure in an open-pit mine

T Carlà, P Farina, E Intrieri, H Ketizmen, N Casagli - Engineering Geology, 2018 - Elsevier
On 17 November 2016, an unexpected slope failure occurred in an undisclosed copper
open-pit mine. The nature of the event urged for a thorough back-analysis of slope …

Recent technological and methodological advances for the investigation of landslide dams

X Fan, A Dufresne, J Whiteley, AP Yunus… - Earth-Science …, 2021 - Elsevier
River-damming by landslides is a widespread phenomenon around the world. Recent
advances in remote sensing technology and the rising commercial availability of their …

Advanced integration of ensemble learning and MT-InSAR for enhanced slow-moving landslide susceptibility zoning

T Zeng, L Wu, YS Hayakawa, K Yin, L Gui, B **… - Engineering …, 2024 - Elsevier
Abstract The Three Gorges Dam's operation has been recognized as a contributing factor to
slope instability and the reactivation of pre-existing deep-seated landslides in the region …

Time-series analysis of the evolution of large-scale loess landslides using InSAR and UAV photogrammetry techniques: A case study in Hongheyan, Gansu Province …

Q Meng, W Li, F Raspini, Q Xu, Y Peng, Y Ju, Y Zheng… - Landslides, 2021 - Springer
Loess landslides are a severe engineering geological problem on the Loess Plateau of
China. This study relies on interferometric synthetic aperture radar (InSAR) and unmanned …

[HTML][HTML] Map** vulnerable urban areas affected by slow-moving landslides using Sentinel-1 InSAR data

M Béjar-Pizarro, D Notti, RM Mateos, P Ezquerro… - Remote Sensing, 2017 - mdpi.com
Landslides are widespread natural hazards that generate considerable damage and
economic losses worldwide. Detecting terrain movements caused by these phenomena and …

A Sentinel-1 based hot-spot analysis: landslide map** in north-western Italy

L Solari, M Del Soldato, R Montalti… - … Journal of Remote …, 2019 - Taylor & Francis
The 6-days repeatability of Sentinel-1 constellation allows building up an interferometric
stack with unprecedented velocity. Easily updatable hot-spot analyses, frequently repeated …