Abstract

Landslides and potentially unstable slopes are present in almost every country of the globe. Moreover, thepopulation growth, with increasing impact of humans on the environment and the urbanization of areas susceptibleto slope failures implies that landslide hazard mitigation only via traditional engineering stabilizationworks and in situ monitoring is no longer considered economically feasible. Given the global dimension of theproblem of slope instability, a sustainable way towards landslide hazard reduction seems to be via increasedexploitation of affordable remote-sensing systems, with focus on early detection, long-term monitoring, andpossibly early warning. In particular, satellite-based remote sensing, and especially the synthetic aperture radar(SAR), multi-temporal interferometry (MTI), has great potential thanks to the wide-area coverage of space-bornesensors, day/night image acquisitions and the capability to provide high precision (mm-cm), spatially dense(from hundreds to thousands points per km2) measurements of slow displacements of the ground surface. In thiscontext, Sentinel-1 A/B (S-1) twin satellites of the European Space Agency (ESA), launched in 2014 and 2016,are now providing truly global capacity for innovative, research-oriented and practical MTI applications, suchas mapping, characterizing and monitoring of landslides. The regularity of S-1 acquisitions, timeliness of datadelivery, increased revisit frequency (days) and the resulting high coherence, as well as the availability of freeimagery, facilitate a more effective and innovative use of MTI.The main aim of this work is to compare and assess the potential of MTI based on S-1 data in slope instabilityinvestigations with respect to MTI relying on the earlier C-band sensors (ERS and ENVISAT), as well as thehigh resolution X-band sensors (COSMO-SkyMed, TerraSAR-X). This is done by considering different areascharacterized by a wide range of geomorphic, climatic, and vegetation conditions, with case study examples oflocal to regional scale MTI applications comprising hill slopes in the Apennine Mts. (Italy) and in the EuropeanAlps, and unstable slopes in two large open-cast mines of Central Europe. The results show that, by using S-1data, MTI can now be more effective and affordable in long-term slope/landslide monitoring, early detection ofslope instability hazard, and (in some cases) in slope failure early warning.

Autore Pugliese

• Bovenga Fabio

Tutti gli autori

• J. Wasowski; F. Bovenga; R. Nutricato; D. O. Nitti; M. T. Chiaradia

Titolo volume/Rivista

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Anno di pubblicazione

2018

ISSN

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ISBN

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Settori ERC

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Codici ASJC

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