NDLI: Review of Satellite Interferometry for Landslide Detection in Italy

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Review of Satellite Interferometry for Landslide Detection in Italy

Content Provider	MDPI
Author	Solari, Lorenzo Soldato, Matteo Del Raspini, Federico Barra, Anna Bianchini, Silvia Confuorto, Pierluigi Casagli, Nicola Crosetto, Michele
Copyright Year	2020
Description	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.
Starting Page	1351
e-ISSN	20724292
DOI	10.3390/rs12081351
Journal	Remote Sensing
Issue Number	8
Volume Number	12
Language	English
Publisher	MDPI
Publisher Date	2020-04-24
Access Restriction	Open
Subject Keyword	Remote Sensing Landslide Monitoring Landslide Mapping Insar Italy Multi-temporal Sar Risk Management Insar Applications
Content Type	Text
Resource Type	Article

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