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Open AccessReview

Review of Satellite Interferometry for Landslide Detection in Italy

1
Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Division of Geomatics, Avenida Gauss, 7 08860 Castelldefels, Spain
2
Dipartimento di Scienze della Terra, Università degli Studi di Firenze, Via La Pira, 4 50121 Firenze, Italy
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(8), 1351; https://doi.org/10.3390/rs12081351
Received: 7 March 2020 / Revised: 22 April 2020 / Accepted: 23 April 2020 / Published: 24 April 2020
(This article belongs to the Section Remote Sensing in Geology, Geomorphology and Hydrology)
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 management strategies. Among the variety of remote sensing techniques, Interferometric Synthetic Aperture Radar (InSAR) has become one of the most widely applied for landslide studies. This work reviews a variety of InSAR-related applications for landslide studies in Italy. More than 250 papers were analyzed in this review. The first application dates back to 1999. The average production of InSAR-related papers for landslide studies is around 12 per year, with a peak of 37 papers in 2015. Almost 70% of the papers are written by authors in academia. InSAR is used (i) for landslide back analysis (3% of the papers); (ii) for landslide characterization (40% of the papers); (iii) as input for landslide models (7% of the papers); (iv) to update landslide inventories (15% of the papers); (v) for landslide mapping (32% of the papers), and (vi) for monitoring (3% of the papers). Sixty-eight percent of the authors validated the satellite results with ground information or other remote sensing data. Although well-known limitations exist, this bibliographic overview confirms that InSAR is a consolidated tool for many landslide-related applications. View Full-Text
Keywords: landslide monitoring; landslide mapping; InSAR; Italy; multi-temporal SAR; risk management; InSAR applications landslide monitoring; landslide mapping; InSAR; Italy; multi-temporal SAR; risk management; InSAR applications
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MDPI and ACS Style

Solari, L.; Del Soldato, M.; Raspini, F.; Barra, A.; Bianchini, S.; Confuorto, P.; Casagli, N.; Crosetto, M. Review of Satellite Interferometry for Landslide Detection in Italy. Remote Sens. 2020, 12, 1351. https://doi.org/10.3390/rs12081351

AMA Style

Solari L, Del Soldato M, Raspini F, Barra A, Bianchini S, Confuorto P, Casagli N, Crosetto M. Review of Satellite Interferometry for Landslide Detection in Italy. Remote Sensing. 2020; 12(8):1351. https://doi.org/10.3390/rs12081351

Chicago/Turabian Style

Solari, Lorenzo; Del Soldato, Matteo; Raspini, Federico; Barra, Anna; Bianchini, Silvia; Confuorto, Pierluigi; Casagli, Nicola; Crosetto, Michele. 2020. "Review of Satellite Interferometry for Landslide Detection in Italy" Remote Sens. 12, no. 8: 1351. https://doi.org/10.3390/rs12081351

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