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dc.contributor.author
Cignetti, Martina
dc.contributor.author
Manconi, Andrea
dc.contributor.author
Manunta, Michele
dc.contributor.author
Giordan, Daniele
dc.contributor.author
De Luca, Claudio
dc.contributor.author
Allasia, Paolo
dc.contributor.author
Ardizzone, Francesca
dc.date.accessioned
2019-08-29T12:50:52Z
dc.date.available
2017-06-12T15:16:08Z
dc.date.available
2019-08-29T12:50:52Z
dc.date.issued
2016-10-20
dc.identifier.issn
2072-4292
dc.identifier.other
10.3390/rs8100852
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/122195
dc.identifier.doi
10.3929/ethz-b-000122195
dc.description.abstract
This paper presents a methodology taking advantage of the GPOD-SBAS service to study the surface deformation information over high mountain regions. Indeed, the application of the advanced DInSAR over the arduous regions represents a demanding task. We implemented an iterative selection procedure of the most suitable SAR images, aimed to preserve the largest number of SAR scenes, and the fine-tuning of several advanced configuration parameters. This method is aimed at minimizing the temporal decorrelation effects, principally due to snow cover, and maximizing the number of coherent targets and their spatial distribution. The methodology is applied to the Valle d’Aosta (VDA) region, Northern Italy, an alpine area characterized by high altitudes, complex morphology, and susceptibility to different mass wasting phenomena. The approach using GPOD-SBAS allows for the obtainment of mean deformation velocity maps and displacement time series relative to the time period from 1992 to 2000, relative to ESR-1/2, and from 2002 to 2010 for ASAR-Envisat. Our results demonstrate how the DInSAR application can obtain reliable information of ground displacement over time in these regions, and may represent a suitable instrument for natural hazards assessment.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
MDPI
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
DInSAR
en_US
dc.subject
GPOD-SBAS
en_US
dc.subject
Ground surface deformation
en_US
dc.subject
High mountain regions
en_US
dc.title
Taking Advantage of the ESA G-POD Service to Study Ground Deformation Processes in High Mountain Areas: A Valle d’Aosta Case Study, Northern Italy
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
ethz.journal.title
Remote Sensing
ethz.journal.volume
8
en_US
ethz.journal.issue
10
en_US
ethz.journal.abbreviated
Remote Sens.
ethz.pages.start
852
en_US
ethz.size
25 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.identifier.nebis
010200880
ethz.publication.place
Basel
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02330 - Dep. Erdwissenschaften / Dep. of Earth Sciences::02704 - Geologisches Institut / Geological Institute::03465 - Löw, Simon (emeritus) / Löw, Simon (emeritus)
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02330 - Dep. Erdwissenschaften / Dep. of Earth Sciences::02704 - Geologisches Institut / Geological Institute::03465 - Löw, Simon (emeritus) / Löw, Simon (emeritus)
ethz.date.deposited
2017-06-12T15:20:40Z
ethz.source
ECIT
ethz.identifier.importid
imp593654d61398124830
ethz.ecitpid
pub:184480
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-14T13:37:38Z
ethz.rosetta.lastUpdated
2022-03-28T23:33:29Z
ethz.rosetta.versionExported
true
ethz.COinS
ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=Taking%20Advantage%20of%20the%20ESA%20G-POD%20Service%20to%20Study%20Ground%20Deformation%20Processes%20in%20High%20Mountain%20Areas:%20A%20Valle%20d%E2%80%99Aosta%20Cas&rft.jtitle=Remote%20Sensing&rft.date=2016-10-20&rft.volume=8&rft.issue=10&rft.spage=852&rft.issn=2072-4292&rft.au=Cignetti,%20Martina&Manconi,%20Andrea&Manunta,%20Michele&Giordan,%20Daniele&De%20Luca,%20Claudio&rft.genre=article&rft_id=info:doi/10.3390/rs8100852&
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