Post-Earthquake Landslide Distribution Assessment Using Sentinel-1 and -2 Data: The Example of the 2016 Mw 7.8 Earthquake in New Zealand

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00025798%3A_____%2F18%3A00000110" target="_blank" >RIV/00025798:_____/18:00000110 - isvavai.cz</a>

Result on the web

<a href="https://www.mdpi.com/2504-3900/2/7/361" target="_blank" >https://www.mdpi.com/2504-3900/2/7/361</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/ecrs-2-05174" target="_blank" >10.3390/ecrs-2-05174</a>

Result language

angličtina

Original language name

Post-Earthquake Landslide Distribution Assessment Using Sentinel-1 and -2 Data: The Example of the 2016 Mw 7.8 Earthquake in New Zealand

Original language description

Post-earthquake analysis using radar interferometry has become a standard procedure for assessing earthquakes with significant damages. Sentinel-1 satellite provides 6-day revisiting time, and Sentinel-2 data has 5-day revisiting time and the same viewing angle that can enable the detection of changes in surface/land-cover after a major seismic event. Using Sentinel-2 alongside Sentinel-1 could bring new benefits when gathering spatial information about a post seismic event. In our study, we focused on analyzing a major earthquake, which occurred on 14 November 2016 with 7.8 magnitude near the city of Kaikōura, New Zealand, using both Sentinel-1 radar images and Sentinel-2 optical data. Hundreds of landslides were reported as a result of this earthquake. In addition, substantial land uplift was detected in some parts of the sea shore. Differential interferometry allowed us to estimate earthquake strength analyzing the distribution of absolute vertical displacement values. Sentinel-2 pre- and post-earthquake images were used in order to assess land-cover changes and automatically detect landslides, which occurred after the earthquake. Linking DInSAR results with Sentinel-2 change detection analysis helped us to get a more complex perspective on the earthquake impact, to create landslide inventory maps, and to subsequently develop workflows for quick post-event analysis.

Czech name

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Czech description

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Type

J_ost - Miscellaneous article in a specialist periodical

CEP classification

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OECD FORD branch

20705 - Remote sensing

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2018

Confidentiality

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

Name of the periodical

Proceedings (MDPI)

ISSN

2504-3900

e-ISSN

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Volume of the periodical

2

Issue of the periodical within the volume

361

Country of publishing house

CH - SWITZERLAND

Number of pages

6

Pages from-to

1-6

UT code for WoS article

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EID of the result in the Scopus database

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