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Article

Combining Ground Based Remote Sensing Tools for Rockfalls Assessment and Monitoring: The Poggio Baldi Landslide Natural Laboratory

1
Department of Earth Sciences, University of Rome “Sapienza”, Piazzale Aldo Moro 5, 00185 Rome, Italy
2
NHAZCA S.r.l., Via Vittorio Bachelet 12, 00185 Rome, Italy
*
Author to whom correspondence should be addressed.
Academic Editor: Jaroslaw Rybak
Sensors 2021, 21(8), 2632; https://doi.org/10.3390/s21082632
Received: 8 March 2021 / Revised: 30 March 2021 / Accepted: 6 April 2021 / Published: 8 April 2021
(This article belongs to the Special Issue Sensors and Measurements in Geotechnical Engineering)
Nowadays the use of remote monitoring sensors is a standard practice in landslide characterization and monitoring. In the last decades, technologies such as LiDAR, terrestrial and satellite SAR interferometry (InSAR) and photogrammetry demonstrated a great potential for rock slope assessment while limited studies and applications are still available for ArcSAR Interferometry, Gigapixel imaging and Acoustic sensing. Taking advantage of the facilities located at the Poggio Baldi Landslide Natural Laboratory, an intensive monitoring campaign was carried out on May 2019 using simultaneously the HYDRA-G ArcSAR for radar monitoring, the Gigapan robotic system equipped with a DSLR camera for photo-monitoring purposes and the DUO Smart Noise Monitor for acoustic measurements. The aim of this study was to evaluate the potential of each monitoring sensor and to investigate the ongoing gravitational processes at the Poggio Baldi landslide. Analysis of multi-temporal Gigapixel-images revealed the occurrence of 84 failures of various sizes between 14–17 May 2019. This allowed us to understand the short-term evolution of the rock cliff that is characterized by several impulsive rockfall events and continuous debris production. Radar displacement maps revealed a constant movement of the debris talus at the toe of the main rock scarp, while acoustic records proved the capability of this technique to identify rockfall events as well as their spectral content in a narrow range of frequencies between 200 Hz to 1000 Hz. This work demonstrates the great potential of the combined use of a variety of remote sensors to achieve high spatial and temporal resolution data in the field of landslide characterization and monitoring. View Full-Text
Keywords: landslide monitoring; TInSAR; gigapixel; acoustic signal; remote sensors; remote sensing landslide monitoring; TInSAR; gigapixel; acoustic signal; remote sensors; remote sensing
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MDPI and ACS Style

Romeo, S.; Cosentino, A.; Giani, F.; Mastrantoni, G.; Mazzanti, P. Combining Ground Based Remote Sensing Tools for Rockfalls Assessment and Monitoring: The Poggio Baldi Landslide Natural Laboratory. Sensors 2021, 21, 2632. https://doi.org/10.3390/s21082632

AMA Style

Romeo S, Cosentino A, Giani F, Mastrantoni G, Mazzanti P. Combining Ground Based Remote Sensing Tools for Rockfalls Assessment and Monitoring: The Poggio Baldi Landslide Natural Laboratory. Sensors. 2021; 21(8):2632. https://doi.org/10.3390/s21082632

Chicago/Turabian Style

Romeo, Saverio, Antonio Cosentino, Francesco Giani, Giandomenico Mastrantoni, and Paolo Mazzanti. 2021. "Combining Ground Based Remote Sensing Tools for Rockfalls Assessment and Monitoring: The Poggio Baldi Landslide Natural Laboratory" Sensors 21, no. 8: 2632. https://doi.org/10.3390/s21082632

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