Articles | Volume 20, issue 9
Nat. Hazards Earth Syst. Sci., 20, 2379–2395, 2020
https://doi.org/10.5194/nhess-20-2379-2020

Special issue: Groundbreaking technologies, big data, and innovation for...

Nat. Hazards Earth Syst. Sci., 20, 2379–2395, 2020
https://doi.org/10.5194/nhess-20-2379-2020

Research article 10 Sep 2020

Research article | 10 Sep 2020

A spaceborne SAR-based procedure to support the detection of landslides

Giuseppe Esposito et al.

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Revised manuscript accepted for NHESS
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Cited articles

Alvioli, M., Mondini, A. C., Fiorucci, F., Cardinali, M., and Marchesini, I.: Topography-driven satellite imagery analysis for landslide mapping, Geomat. Nat. Haz. Risk, 9, 544–567, https://doi.org/10.1080/19475705.2018.1458050, 2018. 
Blong, R. J.: Natural hazards in the Papua New Guinea highlands, Mt. Res. Dev., 6, 233–246, https://doi.org/10.2307/3673393, 1986. 
Bornaetxea, T., Rossi, M., Marchesini, I., and Alvioli, M.: Effective surveyed area and its role in statistical landslide susceptibility assessments, Nat. Hazards Earth Syst. Sci., 18, 2455–2469, https://doi.org/10.5194/nhess-18-2455-2018, 2018. 
Calò, F., Calcaterra, D., Iodice, A., Parise, M., and Ramondini, M.: Assessing the activity of a large landslide in southern Italy by ground-monitoring and SAR interferometric techniques, Int. J. Remote Sens., 33, 3512–3530, https://doi.org/10.1080/01431161.2011.630331, 2012. 
Calvello, M., Peduto, D., and Arena, L.: Combined use of statistical and DInSAR data analyses to define the state of activity of slow-moving landslides, Landslides, 14, 473–489, https://doi.org/10.1007/s10346-016-0722-6, 2017. 
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In this article, we present an automatic processing chain aimed to support the detection of landslides that induce sharp land cover changes. The chain exploits free software and spaceborne SAR data, allowing the systematic monitoring of wide mountainous regions exposed to mass movements. In the test site, we verified a general accordance between the spatial distribution of seismically induced landslides and the detected land cover changes, demonstrating its potential use in emergency management.
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