Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloNew Perspectives in Landslide Displacement Detection Using Sentinel-1 Datasets
Anno di pubblicazione2019
Autore/iMatteo Mantovani, Giulia Bossi, Gianluca Marcato, Luca Schenato, Giacomo Tedesco, Giacomo Titti and Alessandro Pasuto
Affiliazioni autoriItalian National Research Council (CNR), Research Institute for Geo-Hydrological Protection (IRPI), Corso Stati Uniti 4, 35127 Padova, Italy Department of Civil, Chemical, Environmental and Materials Engineering DICAM, Alma Mater Studiorum Università di Bologna, Viale Risorgimento 2, 40136 Bologna, Italy
Autori CNR e affiliazioni
  • inglese
AbstractSpace-borne radar interferometry is a fundamental tool to detect and measure a variety of ground surface deformations, either human induced or originated by natural processes. Latest development of radar remote sensing imaging techniques and the increasing number of space missions, specifically designed for interferometry analyses, led to the development of new and more effective approaches, commonly referred to as Advanced DInSAR (A-DInSAR) or Time Series Radar Interferometry (TS-InSAR). Nevertheless, even if these methods were proved to be suitable for the study of a large majority of ground surface dynamic phenomena, their application to landslides detection is still problematic. One of the main limiting factors is related to the rate of displacement of the unstable slopes: landslides evolving too fast decorrelate the radar signal making the interferometric phase useless. This is the reason why A-DInSAR techniques have been successfully applied exclusively to measure very slow landslides (few centimetres per year). This study demonstrates how the C-band data collected since 2014 by the Sentinel-1 (S1) mission and properly designed interferometric approaches can pull down this restriction allowing to measure rate of displacements ten times higher than previously done, thus providing new perspectives in landslides detection. The analysis was carried out on a test site located in the Cortina d'Ampezzo valley (Eastern Italian Alps), which is affected by several earth flows characterized by different size and kinematics
Lingua abstractinglese
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RivistaRemote sensing (Basel)
Attiva dal 2009
Editore: Molecular Diversity Preservation International - Basel
Lingua: inglese
ISSN: 2072-4292
Titolo chiave: Remote sensing (Basel)
Titolo proprio: Remote sensing. (Basel)
Titolo abbreviato: Remote sens. (Basel)
Numero volume della rivista11
Fascicolo della rivista18
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
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Parole chiaveCortina d'Ampezzo, Sentinel-1, A-DInSAR, monitoring, landslide
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Strutture CNR
  • IRPI — Istituto di ricerca per la protezione idrogeologica
Moduli/Attività/Sottoprogetti CNR
  • DTA.AD003.216.001 : FRANE - Monitoraggio e modellazione per la valutazione della pericolosità da frana e la gestione del rischio
Progetti Europei-