Abstract
Following the heavy snowfalls in the central and southern Italy at the end of winter 2017, the reactivation of many landslides in the Apennines area was observed. Some of them had already been subject to several seismic events, with main shocks on 08/24/2016 (M6.0) and 10/26/2016 (M5.9). This paper shows preliminary results concerning the Ponzano landslide activity (Civitella del Tronto—Italy), located in the central Italy at about 40 km from the 2016 main earthquakes areas. This landslide reactivated in the last days of February 2017 with displacements of more than 8 meters in the first few days, probably due to the fast snowmelt (about 1.2 m snowpack, accumulated in the middle of January). In accordance with the Department of Civil Protection, different monitoring systems have been foreseen in order to describe the behavior of the landslide and to monitor the oldest part of the village. To reach these goals, a near-real time monitoring approach was implemented by means of a robotized total station. Additionally, a series of UAV aerial surveys for a multi-temporal site analysis were accomplished. The first approach allowed to perform a continuous displacement monitoring (frequency of measurements 0.5 h ÷ 2 h) and to detect landslide movements due to spring rainfalls. The second one allowed us to perform a rapid mapping of the area immediately after the main reactivation, and its evolution after a few months. Thanks to a modular fixed wing multisensor UAV recently developed in our institute, it was possible to perform a survey using optical and multispectral sensors. In this work, we present the results obtained by both systems, and we describe how they can be used in the emergency scenarios and in subsequent landslide management phases.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Allasia, P., Manconi, A., Giordan, D., Baldo, M., Lollino, G.: Advice: A new approach for near-real-time monitoring of surface displacements in landslide hazard scenarios. Sensors 13, 8285–8302 (2013)
Civil Protection Department (DPC). “Internal Report” (June 2017)
Civil Protection Department (DPC). “Terremoto Centro Italia”. http://www.protezionecivile.gov.it/jcms/it/terremoto_centro_italia_2016.wp, (10 October 2017)
Giordan, D., Manconi, A., Facello, A., Baldo, M., dell’Anese, F., Allasia, P., Dutto, F.: Brief communication: the use of an unmanned aerial vehicle in a rockfall emergency scenario. Nat. Hazards Earth Syst. Sci. 15, 163–169 (2015). https://doi.org/10.5194/nhess-15-163-2015
Meteomont. “Servizio nazionale di previsione neve e valanghe”. http://www.meteomont.gov.it/infoMeteo/caricaPaginaStorici.do, (10 October 2017)
NOAA National Centers for Environmental Information, State of the Climate: Global Climate Report for Annual 2016 (2017). Published online January 2017, retrieved on November 3, 2017 from https://www.ncdc.noaa.gov/sotc/global/201613
Thenkabail, P.S., Lyon, J.G. (eds.): Hyperspectral remote sensing of vegetation. CRC Press (2016)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Allasia, P., Baldo, M., Giordan, D., Godone, D., Wrzesniak, A., Lollino, G. (2019). Near Real Time Monitoring Systems and Periodic Surveys Using a Multi Sensors UAV: The Case of Ponzano Landslide. In: Shakoor, A., Cato, K. (eds) IAEG/AEG Annual Meeting Proceedings, San Francisco, California, 2018 - Volume 1. Springer, Cham. https://doi.org/10.1007/978-3-319-93124-1_37
Download citation
DOI: https://doi.org/10.1007/978-3-319-93124-1_37
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-93123-4
Online ISBN: 978-3-319-93124-1
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)