[HTML][HTML] Landslide failures detection and mapping using Synthetic Aperture Radar: Past, present and future

AC Mondini, F Guzzetti, KT Chang, O Monserrat… - Earth-Science …, 2021 - Elsevier
Landslides are geomorphological processes that shape the landscapes of all continents,
dismantling mountains and contributing sediments to the river networks. Caused by …

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 …

A review of UAV integration in forensic civil engineering: From sensor technologies to geotechnical, structural and water infrastructure applications

SY Kim, DY Kwon, A Jang, YK Ju, JS Lee, S Hong - Measurement, 2024 - Elsevier
Unmanned aerial vehicles (UAVs) mounted with remote sensors have been widely used in
architectural, civil, and environmental engineering fields. In particular, UAVs are applied for …

The role of satellite InSAR for landslide forecasting: Limitations and openings

S Moretto, F Bozzano, P Mazzanti - Remote sensing, 2021 - mdpi.com
The paper explores the potential of the satellite advanced differential synthetic aperture
radar interferometry (A-DInSAR) technique for the identification of impending slope failure …

A methodology to detect and update active deformation areas based on Sentinel-1 SAR images

A Barra, L Solari, M Béjar-Pizarro, O Monserrat… - Remote sensing, 2017 - mdpi.com
This work is focused on deformation activity mapping and monitoring using Sentinel-1 (S-1)
data and the DInSAR (Differential Interferometric Synthetic Aperture Radar) technique. The …

Sentinel-1 SAR amplitude imagery for rapid landslide detection

AC Mondini, M Santangelo, M Rocchetti, E Rossetto… - Remote sensing, 2019 - mdpi.com
Despite landslides impact the society worldwide every day, landslide information is
inhomogeneous and lacking. When landslides occur in remote areas or where the …

Using citizen science to expand the global map of landslides: Introducing the Cooperative Open Online Landslide Repository (COOLR)

CS Juang, TA Stanley, DB Kirschbaum - PloS one, 2019 - journals.plos.org
Robust inventories are vital for improving assessment of and response to deadly and costly
landslide hazards. However, collecting landslide events in inventories is difficult at the …

A methodology to characterize 4D post-failure slope instability dynamics using remote sensing measurements: A case study of the Aniangzhai landslide in Sichuan …

Z Xia, M Motagh, T Li, M Peng, S Roessner - ISPRS Journal of …, 2023 - Elsevier
A massive landslide often causes long-lasting instability dynamics that need to be analyzed
in detail for risk management and mitigation. Multiple satellite remote sensing observations …

[HTML][HTML] Investigating slow-moving shallow soil landslides using Sentinel-1 InSAR data in Gisborne, New Zealand

ME Cook, MS Brook, IJ Hamling, M Cave, JF Tunnicliffe… - Landslides, 2023 - Springer
Landslides are widespread geomorphological features on the North Island of New Zealand,
where they represent one of the primary landscape-forming processes. This study focuses …

[HTML][HTML] Modelling InSAR-derived hillslope velocities with multivariate statistics: A first attempt to generate interpretable predictions

K He, H Tanyas, L Chang, X Hu, G Luo… - Remote Sensing of …, 2023 - Elsevier
Spatiotemporal patterns of earth surface deformation are influenced by a combination of the
geologic, topographic, seismic, anthropogenic, meteorological and climatic conditions …