Reduction of atmospheric disturbances in PSInSAR measure technique based on ENVISAT ASAR data for Erta Ale Ridge
The interferometric synthetic aperture radar (InSAR) is becoming more and more popular to investigate surface deformation, associated with volcanism, earthquakes, landslides, and post-mining surface subsidence. The measuring accuracy depends on many factors: surface, time and geometric decorrelation...
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2018-01-01
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Online Access: | https://doi.org/10.1051/e3sconf/20182900022 |
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doaj-5c7dc21a7d4a450c872a83473d2b36632021-04-02T10:26:14ZengEDP SciencesE3S Web of Conferences2267-12422018-01-01290002210.1051/e3sconf/20182900022e3sconf_cpsys2018_00022Reduction of atmospheric disturbances in PSInSAR measure technique based on ENVISAT ASAR data for Erta Ale RidgeKopeć AnnaThe interferometric synthetic aperture radar (InSAR) is becoming more and more popular to investigate surface deformation, associated with volcanism, earthquakes, landslides, and post-mining surface subsidence. The measuring accuracy depends on many factors: surface, time and geometric decorrelation, orbit errors, however the largest challenges are the tropospheric delays. The spatial and temporal variations in temperature, pressure, and relative humidity are responsible for tropospheric delays. So far, many methods have been developed, but researchers are still searching for the one, that will allow to correct interferograms consistently in different regions and times. The article focuses on examining the methods based on empirical phase-based methods, spectrometer measurements and weather model. These methods were applied to the ENVISAT ASAR data for the Erta Ale Ridge in the Afar Depression, East Africahttps://doi.org/10.1051/e3sconf/20182900022 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Kopeć Anna |
spellingShingle |
Kopeć Anna Reduction of atmospheric disturbances in PSInSAR measure technique based on ENVISAT ASAR data for Erta Ale Ridge E3S Web of Conferences |
author_facet |
Kopeć Anna |
author_sort |
Kopeć Anna |
title |
Reduction of atmospheric disturbances in PSInSAR measure technique based on ENVISAT ASAR data for Erta Ale Ridge |
title_short |
Reduction of atmospheric disturbances in PSInSAR measure technique based on ENVISAT ASAR data for Erta Ale Ridge |
title_full |
Reduction of atmospheric disturbances in PSInSAR measure technique based on ENVISAT ASAR data for Erta Ale Ridge |
title_fullStr |
Reduction of atmospheric disturbances in PSInSAR measure technique based on ENVISAT ASAR data for Erta Ale Ridge |
title_full_unstemmed |
Reduction of atmospheric disturbances in PSInSAR measure technique based on ENVISAT ASAR data for Erta Ale Ridge |
title_sort |
reduction of atmospheric disturbances in psinsar measure technique based on envisat asar data for erta ale ridge |
publisher |
EDP Sciences |
series |
E3S Web of Conferences |
issn |
2267-1242 |
publishDate |
2018-01-01 |
description |
The interferometric synthetic aperture radar (InSAR) is becoming more and more popular to investigate surface deformation, associated with volcanism, earthquakes, landslides, and post-mining surface subsidence. The measuring accuracy depends on many factors: surface, time and geometric decorrelation, orbit errors, however the largest challenges are the tropospheric delays. The spatial and temporal variations in temperature, pressure, and relative humidity are responsible for tropospheric delays. So far, many methods have been developed, but researchers are still searching for the one, that will allow to correct interferograms consistently in different regions and times. The article focuses on examining the methods based on empirical phase-based methods, spectrometer measurements and weather model. These methods were applied to the ENVISAT ASAR data for the Erta Ale Ridge in the Afar Depression, East Africa |
url |
https://doi.org/10.1051/e3sconf/20182900022 |
work_keys_str_mv |
AT kopecanna reductionofatmosphericdisturbancesinpsinsarmeasuretechniquebasedonenvisatasardataforertaaleridge |
_version_ |
1724167354799095808 |