Perspectives on the prediction of catastrophic slope failures from satellite InSAR

被引:183
作者
Carla, Tommaso [1 ]
Intrieri, Emanuele [1 ]
Raspini, Federico [1 ]
Bardi, Federica [2 ]
Farina, Paolo [2 ]
Ferretti, Alessandro [3 ]
Colombo, Davide [3 ]
Novali, Fabrizio [3 ]
Casagli, Nicola [1 ]
机构
[1] Univ Florence, Dept Earth Sci, Via Giorgio La Pira 4, I-50121 Florence, Italy
[2] Geoapp Srl, Via Francesco Veracini 30-G, I-50144 Florence, Italy
[3] TRE ALTAMIRA, Ripa di Porta Ticinese 79, I-20143 Milan, Italy
关键词
PERSISTENT SCATTERER INTERFEROMETRY; PERMANENT SCATTERERS; BUILDING DEFORMATION; XINMO LANDSLIDE; SUBSIDENCE; INTEGRATION; MOVEMENT; MAOXIAN; RADAR; MINES;
D O I
10.1038/s41598-019-50792-y
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
We demonstrate the potential of satellite Interferometric Synthetic Aperture Radar (InSAR) to identify precursors to catastrophic slope failures. To date, early-warning has mostly relied on the availability of detailed, high-frequency data from sensors installed in situ. The same purpose could not be chased through spaceborne monitoring applications, as these could not yield information acquired in sufficiently systematic fashion. Here we present three sets of Sentinel-1 constellation images processed by means of multi-interferometric analysis. We detect clear trends of accelerating displacement prior to the catastrophic failure of three large slopes of very different nature: an open-pit mine slope, a natural rock slope in alpine terrain, and a tailings dam embankment. We determine that these events could have been located several days or weeks in advance. The results highlight that satellite InSAR may now be used to support decision making and enhance predictive ability for this type of hazard.
引用
收藏
页数:9
相关论文
共 38 条
[1]   The tailings dam failure of 5 November 2015 in SE Brazil and its preceding seismic sequence [J].
Agurto-Detzel, H. ;
Bianchi, M. ;
Assumpcao, M. ;
Schimmel, M. ;
Collaco, B. ;
Ciardelli, C. ;
Barbosa, J. R. ;
Calhau, J. .
GEOPHYSICAL RESEARCH LETTERS, 2016, 43 (10) :4929-4936
[2]   Tunnelling-induced landslides: The Val di Sambro tunnel case study [J].
Bandini, Annalisa ;
Berry, Paolo ;
Boldini, Daniela .
ENGINEERING GEOLOGY, 2015, 196 :71-87
[3]   Integration between ground based and satellite SAR data in landslide mapping: The San Fratello case study [J].
Bardi, Federica ;
Frodella, William ;
Ciampalini, Andrea ;
Bianchini, Silvia ;
Del Ventisette, Chiara ;
Gigli, Giovanni ;
Fanti, Riccardo ;
Moretti, Sandro ;
Basile, Giuseppe ;
Casagli, Nicola .
GEOMORPHOLOGY, 2014, 223 :45-60
[4]   Advanced InSAR Techniques to Support Landslide Monitoring [J].
Bellotti, Fernando ;
Bianchi, Marco ;
Colombo, Davide ;
Ferretti, Alessandro ;
Tamburini, Andrea .
MATHEMATICS OF PLANET EARTH, 2014, :287-290
[5]   Building Deformation Assessment by Means of Persistent Scatterer Interferometry Analysis on a Landslide-Affected Area: The Volterra (Italy) Case Study [J].
Bianchini, Silvia ;
Pratesi, Fabio ;
Nolesini, Teresa ;
Casagli, Nicola .
REMOTE SENSING, 2015, 7 (04) :4678-4701
[6]   Integration of ground-based radar and satellite InSAR data for the analysis of an unexpected slope failure in an open-pit mine [J].
Carla, Tommaso ;
Farina, Paolo ;
Intrieri, Emanuele ;
Ketizmen, Hakki ;
Casagli, Nicola .
ENGINEERING GEOLOGY, 2018, 235 :39-52
[7]   Guidelines on the use of inverse velocity method as a tool for setting alarm thresholds and forecasting landslides and structure collapses [J].
Carla, Tommaso ;
Intrieri, Emanuele ;
Di Traglia, Federico ;
Nolesini, Teresa ;
Gigli, Giovanni ;
Casagli, Nicola .
LANDSLIDES, 2017, 14 (02) :517-534
[8]   On the monitoring and early-warning of brittle slope failures in hard rock masses: Examples from an open-pit mine [J].
Carla, Tommaso ;
Farina, Paolo ;
Intrieri, Emanuele ;
Botsialas, Kostas ;
Casagli, Nicola .
ENGINEERING GEOLOGY, 2017, 228 :71-81
[9]   Analysis of building deformation in landslide area using multisensor PSInSAR™ technique [J].
Ciampalini, Andrea ;
Bardi, Federica ;
Bianchini, Silvia ;
Frodella, William ;
Del Ventisette, Chiara ;
Moretti, Sandro ;
Casagli, Nicola .
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2014, 33 :166-180
[10]   How to assess landslide activity and intensity with Persistent Scatterer Interferometry (PSI): the PSI-based matrix approach [J].
Cigna, Francesca ;
Bianchini, Silvia ;
Casagli, Nicola .
LANDSLIDES, 2013, 10 (03) :267-283