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] Review of the SBAS InSAR Time-series algorithms, applications, and challenges

S Li, W Xu, Z Li - Geodesy and Geodynamics, 2022 - Elsevier
In the past 30 years, the small baseline subset (SBAS) InSAR time-series technique has
emerged as an essential tool for measuring slow surface displacement and estimating …

Evaluation of different machine learning methods and deep-learning convolutional neural networks for landslide detection

O Ghorbanzadeh, T Blaschke, K Gholamnia… - Remote Sensing, 2019 - mdpi.com
There is a growing demand for detailed and accurate landslide maps and inventories
around the globe, but particularly in hazard-prone regions such as the Himalayas. Most …

[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 on remote sensing methods for landslide detection using machine and deep learning

A Mohan, AK Singh, B Kumar… - Transactions on …, 2021 - Wiley Online Library
Landslide, one of the most critical natural hazards, is caused due to specific compositional
slope movement. In the past decades, due to inflation of urbanized area and climate change …

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 using multi-scale image segmentation and different machine learning models in the higher himalayas

S Tavakkoli Piralilou, H Shahabi, B Jarihani… - Remote Sensing, 2019 - mdpi.com
Landslides represent a severe hazard in many areas of the world. Accurate landslide maps
are needed to document the occurrence and extent of landslides and to investigate their …

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 …

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 …

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 …