[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 …

[HTML][HTML] Nation-wide mapping and classification of ground deformation phenomena through the spatial clustering of P-SBAS InSAR measurements: Italy case study

D Festa, M Bonano, N Casagli, P Confuorto… - ISPRS Journal of …, 2022 - Elsevier
The rising availability of satellite-based multi-temporal interferometric datasets covering
large areas of the Earth surface constitutes a huge asset in the context of operational …

[HTML][HTML] Constructing a complete landslide inventory dataset for the 2018 monsoon disaster in Kerala, India, for land use change analysis

L Hao, A Rajaneesh, C Van Westen… - … system science data, 2020 - essd.copernicus.org
Event-based landslide inventories are important for analyzing the relationship between the
intensity of the trigger (eg, rainfall, earthquake) and the density of the landslides in a …

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 …

Review of works combining GNSS and InSAR in Europe

M Del Soldato, P Confuorto, S Bianchini, P Sbarra… - Remote Sensing, 2021 - mdpi.com
The Global Navigation Satellite System (GNSS) and Synthetic Aperture Radar Interferometry
(InSAR) can be combined to achieve different goals, owing to their main principles. Both …

Landslide susceptibility mapping using MT-InSAR and AHP enabled GIS-based multi-criteria decision analysis

M Devara, A Tiwari, R Dwivedi - Geomatics, Natural Hazards and …, 2021 - Taylor & Francis
Landslide susceptibility maps (LSMs) are generally prepared by integrating multiple
prominent thematic layers, including DEM derived products (elevation, slope, and aspect) …

The June 2020 Aniangzhai landslide in Sichuan Province, Southwest China: Slope instability analysis from radar and optical satellite remote sensing data

Z Xia, M Motagh, T Li, S Roessner - Landslides, 2022 - Springer
A large, deep-seated ancient landslide was partially reactivated on 17 June 2020 close to
the Aniangzhai village of Danba County in Sichuan Province of Southwest China. It was …

Persistent Scatterers continuous streaming for landslide monitoring and mapping: The case of the Tuscany region (Italy)

F Raspini, S Bianchini, A Ciampalini, M Del Soldato… - Landslides, 2019 - Springer
The results of the continuous monitoring of ground deformation throughout the Tuscany
region using radar images acquired by the Sentinel-1 satellite constellation of the European …

[HTML][HTML] An interpretation approach of ascending–descending SAR data for landslide identification

T Ren, W Gong, L Gao, F Zhao, Z Cheng - Remote Sensing, 2022 - mdpi.com
The technique of interferometric synthetic aperture radar (InSAR) is increasingly employed
for landslide detection over large areas, even though the limitations of initial InSAR analysis …