Earthquake-induced landslide monitoring and survey by means of InSAR
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F22%3A10250307" target="_blank" >RIV/61989100:27740/22:10250307 - isvavai.cz</a>
Result on the web
<a href="https://nhess.copernicus.org/articles/22/1609/2022/" target="_blank" >https://nhess.copernicus.org/articles/22/1609/2022/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5194/nhess-22-1609-2022" target="_blank" >10.5194/nhess-22-1609-2022</a>
Alternative languages
Result language
angličtina
Original language name
Earthquake-induced landslide monitoring and survey by means of InSAR
Original language description
This study uses interferometric synthetic aperture radar (SAR) techniques to identify and track earthquake-induced landslides as well as lands prone to landslides, by detecting deformations in areas struck by earthquakes. The pilot study area investigates the Mila region in Algeria, which suffered significant landslides and structural damage (earthquake: M-w 5, 7 August 2020). DInSAR analysis shows normal interferograms with small fringes. The coherence change detection (CCD) and DInSAR analysis were able to identify many landslides and ground deformations also confirmed by Sentinel-2 optical images and field inspection. The most important displacement (2.5 m), located in the Kherba neighborhood, caused severe damage to dwellings. It is worth notice that CCD and DInSAR are very useful since they were also able to identify ground cracks surrounding a large zone (3.94 km(2) area) in Grarem City, whereas the Sentinel-2 optical images could not detect them. Although displacement time-series analysis of 224 interferograms (April 2015 to September 2020) performed using LiCSBAS did not detect any pre-event geotechnical precursors, the post-event analysis shows a 110 mm yr(-1) subsidence velocity in the back hillside of Kherba.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10511 - Environmental sciences (social aspects to be 5.7)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Natural Hazards and Earth System Sciences
ISSN
1561-8633
e-ISSN
1684-9981
Volume of the periodical
22
Issue of the periodical within the volume
5
Country of publishing house
DE - GERMANY
Number of pages
17
Pages from-to
1609-1625
UT code for WoS article
000795248800001
EID of the result in the Scopus database
2-s2.0-85131642373