Earthquake-induced landslide monitoring and survey by means of InSAR

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Earthquake-induced landslide monitoring and survey by means of InSAR

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Earthquake-induced landslide monitoring and survey by means of InSAR

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10511 - Environmental sciences (social aspects to be 5.7)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Natural Hazards and Earth System Sciences

ISSN

1561-8633

e-ISSN

1684-9981

Svazek periodika

22

Číslo periodika v rámci svazku

5

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

17

Strana od-do

1609-1625

Kód UT WoS článku

000795248800001

EID výsledku v databázi Scopus

2-s2.0-85131642373