Next Article in Journal / Special Issue
Comparing Manual and Semi-Automated Landslide Mapping Based on Optical Satellite Images from Different Sensors
Previous Article in Journal
Geochemistry of Petroleum Gases and Liquids from the Inhassoro, Pande and Temane Fields Onshore Mozambique
Previous Article in Special Issue
Assessment of the Evolution of a Landslide Using Digital Photogrammetry and LiDAR Techniques in the Alpujarras Region (Granada, Southeastern Spain)
Article Menu
Issue 2 (June) cover image

Export Article

Open AccessArticle
Geosciences 2017, 7(2), 36;

Assessment of Landslide Pre-Failure Monitoring and Forecasting Using Satellite SAR Interferometry

Department of Earth Sciences, Sapienza University of Rome, Rome 00185, Italy
NHAZCA S.r.l., Spin-off of Sapienza, University of Rome, Rome 00185, Italy
Author to whom correspondence should be addressed.
Academic Editors: Francesca Cigna and Jesus Martinez-Frias
Received: 28 February 2017 / Revised: 8 May 2017 / Accepted: 9 May 2017 / Published: 12 May 2017
(This article belongs to the Special Issue Observing Geohazards from Space)
Full-Text   |   PDF [2497 KB, uploaded 15 May 2017]   |  


In this work, the ability of advanced satellite interferometry to monitor pre-failure landslide behaviours and the potential application of this technique to Failure Forecasting Methods (FFMs) are analysed. Several limits affect the ability of the technique to monitor a landslide process, especially during the pre-failure phase (tertiary creep). In this study, two of the major limitations affecting the technique have been explored: (1) the low data sampling frequency and (2) the phase ambiguity constraints. We explored the time series of displacements for 56 monitored landslides inferred from the scientific literature and from different in situ and remote monitoring instruments (i.e., extensometers, inclinometers, distometers, Ground Base InSAR, and total station). Furthermore, four different forecasting techniques have been applied to the monitoring data of the selected landslides. To analyse the reliability of the FFMs based on the InSAR satellite data, the 56 time series have been sampled based on different satellite features, simulating the satellite revisit time and the phase ambiguity constraints. Our analysis shows that the satellite InSAR technique could be successful in monitoring the landslide’s tertiary creep phase and, in some cases, for forecasting the corresponding time of failure using FFMs. However, the low data sampling frequency of the present satellite systems do not capture the necessary detail for the application of FFMs in actual risk management problems or for early warning purposes. View Full-Text
Keywords: A-DInSAR; InSAR; landslide; failure forecasting methods; landslide forecasting A-DInSAR; InSAR; landslide; failure forecasting methods; landslide forecasting

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Moretto, S.; Bozzano, F.; Esposito, C.; Mazzanti, P.; Rocca, A. Assessment of Landslide Pre-Failure Monitoring and Forecasting Using Satellite SAR Interferometry. Geosciences 2017, 7, 36.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Geosciences EISSN 2076-3263 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top