InSAR data analysis at Kamchatka during 2016
Geophysical monitoring in seismically active areas depends on geodeformation processes in the earth's crust. Observations of earth's crust strain-stress using gps-measurements, laser interferometers give only an opportunity to analyze the dynamics in time without the possibility of extrapo...
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2017
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Online Access: | https://doi.org/10.1051/e3sconf/20172002007 https://doaj.org/article/0608263fa8f24d879cacf02e77583785 |
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fttriple:oai:gotriple.eu:oai:doaj.org/article:0608263fa8f24d879cacf02e77583785 2023-05-15T16:58:49+02:00 InSAR data analysis at Kamchatka during 2016 Larionov Igor Perezhogin Andrey 2017-01-01 https://doi.org/10.1051/e3sconf/20172002007 https://doaj.org/article/0608263fa8f24d879cacf02e77583785 en fr eng fre EDP Sciences 2267-1242 doi:10.1051/e3sconf/20172002007 https://doaj.org/article/0608263fa8f24d879cacf02e77583785 undefined E3S Web of Conferences, Vol 20, p 02007 (2017) InSAR strain-stress Sentinel-1A geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2017 fttriple https://doi.org/10.1051/e3sconf/20172002007 2023-01-22T19:23:31Z Geophysical monitoring in seismically active areas depends on geodeformation processes in the earth's crust. Observations of earth's crust strain-stress using gps-measurements, laser interferometers give only an opportunity to analyze the dynamics in time without the possibility of extrapolation to adjacent areas. In this regard, it is useful to apply a radar interferometry technology to measure the displacements of the earth's surface. The report includes the results of processing the radar data of the Sentinel-1A satellite. Several qualitative interferometric pairs were obtained during the period from June to October 2016. A high coherence coefficient is observed in open areas in the vicinity of volcanic structures and adjacent territories, as well as on the west coast of Kamchatka, where there is no high vegetation. The main factor that significantly reduces the coherence of images is the forest cover. Possibility of estimating the surface displacement at regions with a high coherence coefficient is discussed. Article in Journal/Newspaper Kamchatka Unknown The Sentinel ENVELOPE(73.317,73.317,-52.983,-52.983) E3S Web of Conferences 20 02007 |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
fttriple |
language |
English French |
topic |
InSAR strain-stress Sentinel-1A geo envir |
spellingShingle |
InSAR strain-stress Sentinel-1A geo envir Larionov Igor Perezhogin Andrey InSAR data analysis at Kamchatka during 2016 |
topic_facet |
InSAR strain-stress Sentinel-1A geo envir |
description |
Geophysical monitoring in seismically active areas depends on geodeformation processes in the earth's crust. Observations of earth's crust strain-stress using gps-measurements, laser interferometers give only an opportunity to analyze the dynamics in time without the possibility of extrapolation to adjacent areas. In this regard, it is useful to apply a radar interferometry technology to measure the displacements of the earth's surface. The report includes the results of processing the radar data of the Sentinel-1A satellite. Several qualitative interferometric pairs were obtained during the period from June to October 2016. A high coherence coefficient is observed in open areas in the vicinity of volcanic structures and adjacent territories, as well as on the west coast of Kamchatka, where there is no high vegetation. The main factor that significantly reduces the coherence of images is the forest cover. Possibility of estimating the surface displacement at regions with a high coherence coefficient is discussed. |
format |
Article in Journal/Newspaper |
author |
Larionov Igor Perezhogin Andrey |
author_facet |
Larionov Igor Perezhogin Andrey |
author_sort |
Larionov Igor |
title |
InSAR data analysis at Kamchatka during 2016 |
title_short |
InSAR data analysis at Kamchatka during 2016 |
title_full |
InSAR data analysis at Kamchatka during 2016 |
title_fullStr |
InSAR data analysis at Kamchatka during 2016 |
title_full_unstemmed |
InSAR data analysis at Kamchatka during 2016 |
title_sort |
insar data analysis at kamchatka during 2016 |
publisher |
EDP Sciences |
publishDate |
2017 |
url |
https://doi.org/10.1051/e3sconf/20172002007 https://doaj.org/article/0608263fa8f24d879cacf02e77583785 |
long_lat |
ENVELOPE(73.317,73.317,-52.983,-52.983) |
geographic |
The Sentinel |
geographic_facet |
The Sentinel |
genre |
Kamchatka |
genre_facet |
Kamchatka |
op_source |
E3S Web of Conferences, Vol 20, p 02007 (2017) |
op_relation |
2267-1242 doi:10.1051/e3sconf/20172002007 https://doaj.org/article/0608263fa8f24d879cacf02e77583785 |
op_rights |
undefined |
op_doi |
https://doi.org/10.1051/e3sconf/20172002007 |
container_title |
E3S Web of Conferences |
container_volume |
20 |
container_start_page |
02007 |
_version_ |
1766050928338665472 |