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 …

[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 …

Identifying potential landslides by stacking-InSAR in southwestern China and its performance comparison with SBAS-InSAR

L Zhang, K Dai, J Deng, D Ge, R Liang, W Li, Q Xu - Remote Sensing, 2021 - mdpi.com
Landslide disasters occur frequently in the mountainous areas in southwest China, which
pose serious threats to the local residents. Interferometry Synthetic Aperture Radar (InSAR) …

Spaceborne, UAV and ground-based remote sensing techniques for landslide mapping, monitoring and early warning

N Casagli, W Frodella, S Morelli, V Tofani… - Geoenvironmental …, 2017 - Springer
Background The current availability of advanced remote sensing technologies in the field of
landslide analysis allows for rapid and easily updatable data acquisitions, improving the …

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 …

Landslide detection and susceptibility mapping by airsar data using support vector machine and index of entropy models in cameron highlands, malaysia

D Tien Bui, H Shahabi, A Shirzadi, K Chapi… - Remote Sensing, 2018 - mdpi.com
Since landslide detection using the combination of AIRSAR data and GIS-based
susceptibility mapping has been rarely conducted in tropical environments, the aim of this …

Rapid mapping of landslides on SAR data by attention U-Net

L Nava, K Bhuyan, SR Meena, O Monserrat, F Catani - Remote Sensing, 2022 - mdpi.com
Multiple landslide events are common around the globe. They can cause severe damage to
both human lives and infrastructures. Although a huge quantity of research has been …

Ocean observation technologies: A review

M Lin, C Yang - Chinese Journal of Mechanical Engineering, 2020 - Springer
Covering about three quarters of the surface area of the earth, the ocean is a critical source
of sustenance, medicine, and commerce. However, such vast expanse in both surface area …

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 …

[HTML][HTML] Landslides detection through optimized hot spot analysis on persistent scatterers and distributed scatterers

P Lu, S Bai, V Tofani, N Casagli - ISPRS Journal of Photogrammetry and …, 2019 - Elsevier
Long-term InSAR techniques, such as Persistent Scatterer Interferometry and Distributed
Scatterer Interferometry, are effective approaches able to detect slow-moving landslides with …