Review of Satellite Interferometry for Landslide Detection in Italy

DOI Web Site 被引用文献1件
  • Lorenzo Solari
    Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Division of Geomatics, Avenida Gauss, 7 08860 Castelldefels, Spain
  • Matteo Del Soldato
    Dipartimento di Scienze della Terra, Università degli Studi di Firenze, Via La Pira, 4 50121 Firenze, Italy
  • Federico Raspini
    Dipartimento di Scienze della Terra, Università degli Studi di Firenze, Via La Pira, 4 50121 Firenze, Italy
  • Anna Barra
    Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Division of Geomatics, Avenida Gauss, 7 08860 Castelldefels, Spain
  • Silvia Bianchini
    Dipartimento di Scienze della Terra, Università degli Studi di Firenze, Via La Pira, 4 50121 Firenze, Italy
  • Pierluigi Confuorto
    Dipartimento di Scienze della Terra, Università degli Studi di Firenze, Via La Pira, 4 50121 Firenze, Italy
  • Nicola Casagli
    Dipartimento di Scienze della Terra, Università degli Studi di Firenze, Via La Pira, 4 50121 Firenze, Italy
  • Michele Crosetto
    Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Division of Geomatics, Avenida Gauss, 7 08860 Castelldefels, Spain

書誌事項

公開日
2020-04-24
権利情報
  • https://creativecommons.org/licenses/by/4.0/
DOI
  • 10.3390/rs12081351
公開者
MDPI AG

説明

<jats:p>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.</jats:p>

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