Atmospheric corrections in interferometric synthetic aperture radar surface deformation - a case study of the city of Mendoza, Argentina

Autores
Balbarani, Sebastian; Euillades, Pablo Andrés; Euillades, Leonardo Daniel; Casullo, F.; Riveros, Natalia Cecilia
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Differential interferometry is a remote sensing technique that allows studying crustal deformation produced by several phenomena like earthquakes, landslides, land subsidence and volcanic eruptions. Advanced techniques, like small baseline subsets (SBAS), exploit series of images acquired by synthetic aperture radar (SAR) sensors during a given time span. Phase propagation delay in the atmosphere is the main systematic error of interferometric SAR measurements. It affects differently images acquired at different days or even at different hours of the same day. So, datasets acquired during the same time span from different sensors (or sensor configuration) often give diverging results. Here we processed two datasets acquired from June 2010 to December 2011 by COSMO-SkyMed satellites. One of them is HH-polarized, and the other one is VV-polarized and acquired on different days. As expected, time series computed from these datasets show differences. We attributed them to non-compensated atmospheric artifacts and tried to correct them by using ERAInterim global atmospheric model (GAM) data. With this method, we were able to correct less than 50 % of the scenes, considering an area where no phase unwrapping errors were detected. We conclude that GAM-based corrections are not enough for explaining differences in computed time series, at least in the processed area of interest. We remark that no direct meteorological data for the GAM-based corrections were employed. Further research is needed in order to understand under what conditions this kind of data can be used.
Fil: Balbarani, Sebastian. Universidad Nacional de Cuyo. Facultad de Ingenieria. Instituto de Capacitación Especial y Desarrollo de Ingeniería Asistida por Computadora; Argentina
Fil: Euillades, Pablo Andrés. Universidad Nacional de Cuyo. Facultad de Ingenieria. Instituto de Capacitación Especial y Desarrollo de Ingeniería Asistida por Computadora; Argentina
Fil: Euillades, Leonardo Daniel. Universidad Nacional de Cuyo. Facultad de Ingenieria. Instituto de Capacitación Especial y Desarrollo de Ingeniería Asistida por Computadora; Argentina
Fil: Casullo, F.. Consiglio Nazionale Delle Ricerche; Italia
Fil: Riveros, Natalia Cecilia. Universidad Nacional de Cuyo; Argentina
Materia
ATMOSPHERE
DIFFERENTIAL INTERFEROMETRY
CORRECTIONS
GAM
Nivel de accesibilidad
acceso abierto
Condiciones de uso
Atribución-NoComercial-CompartirIgual 2.5 Argentina (CC BY-NC-SA 2.5 AR)
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/2606
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/2606
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Atmospheric corrections in interferometric synthetic aperture radar surface deformation - a case study of the city of Mendoza, ArgentinaBalbarani, SebastianEuillades, Pablo AndrésEuillades, Leonardo DanielCasullo, F.Riveros, Natalia CeciliaATMOSPHEREDIFFERENTIAL INTERFEROMETRYCORRECTIONSGAMhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Differential interferometry is a remote sensing technique that allows studying crustal deformation produced by several phenomena like earthquakes, landslides, land subsidence and volcanic eruptions. Advanced techniques, like small baseline subsets (SBAS), exploit series of images acquired by synthetic aperture radar (SAR) sensors during a given time span. Phase propagation delay in the atmosphere is the main systematic error of interferometric SAR measurements. It affects differently images acquired at different days or even at different hours of the same day. So, datasets acquired during the same time span from different sensors (or sensor configuration) often give diverging results. Here we processed two datasets acquired from June 2010 to December 2011 by COSMO-SkyMed satellites. One of them is HH-polarized, and the other one is VV-polarized and acquired on different days. As expected, time series computed from these datasets show differences. We attributed them to non-compensated atmospheric artifacts and tried to correct them by using ERAInterim global atmospheric model (GAM) data. With this method, we were able to correct less than 50 % of the scenes, considering an area where no phase unwrapping errors were detected. We conclude that GAM-based corrections are not enough for explaining differences in computed time series, at least in the processed area of interest. We remark that no direct meteorological data for the GAM-based corrections were employed. Further research is needed in order to understand under what conditions this kind of data can be used.Fil: Balbarani, Sebastian. Universidad Nacional de Cuyo. Facultad de Ingenieria. Instituto de Capacitación Especial y Desarrollo de Ingeniería Asistida por Computadora; ArgentinaFil: Euillades, Pablo Andrés. Universidad Nacional de Cuyo. Facultad de Ingenieria. Instituto de Capacitación Especial y Desarrollo de Ingeniería Asistida por Computadora; ArgentinaFil: Euillades, Leonardo Daniel. Universidad Nacional de Cuyo. Facultad de Ingenieria. Instituto de Capacitación Especial y Desarrollo de Ingeniería Asistida por Computadora; ArgentinaFil: Casullo, F.. Consiglio Nazionale Delle Ricerche; ItaliaFil: Riveros, Natalia Cecilia. Universidad Nacional de Cuyo; ArgentinaCopernicus Publications on behalf of the European Geosciences Union (EGU)2013-09-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/2606Balbarani, Sebastian; Euillades, Pablo Andrés; Euillades, Leonardo Daniel; Casu, Francesco; Riveros, Natalia Cecilia; Atmospheric corrections in interferometric synthetic aperture radar surface deformation - a case study of the city of Mendoza, Argentina; Copernicus Publications on behalf of the European Geosciences Union (EGU); Advances in Geosciences; 35; 4-9-2013; 105-1131680-7340enginfo:eu-repo/semantics/altIdentifier/doi/info:eu-repo/semantics/altIdentifier/url/http://dx.doi.rog/10.5194/adgeo-35-105-2013info:eu-repo/semantics/altIdentifier/url/http://www.adv-geosci.net/35/105/2013/adgeo-35-105-2013.pdfinfo:eu-repo/semantics/openAccessAtribución-NoComercial-CompartirIgual 2.5 Argentina (CC BY-NC-SA 2.5 AR)https://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:34:41Zoai:ri.conicet.gov.ar:11336/2606instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:34:41.856CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Atmospheric corrections in interferometric synthetic aperture radar surface deformation - a case study of the city of Mendoza, Argentina
title Atmospheric corrections in interferometric synthetic aperture radar surface deformation - a case study of the city of Mendoza, Argentina
spellingShingle Atmospheric corrections in interferometric synthetic aperture radar surface deformation - a case study of the city of Mendoza, Argentina
Balbarani, Sebastian
ATMOSPHERE
DIFFERENTIAL INTERFEROMETRY
CORRECTIONS
GAM
title_short Atmospheric corrections in interferometric synthetic aperture radar surface deformation - a case study of the city of Mendoza, Argentina
title_full Atmospheric corrections in interferometric synthetic aperture radar surface deformation - a case study of the city of Mendoza, Argentina
title_fullStr Atmospheric corrections in interferometric synthetic aperture radar surface deformation - a case study of the city of Mendoza, Argentina
title_full_unstemmed Atmospheric corrections in interferometric synthetic aperture radar surface deformation - a case study of the city of Mendoza, Argentina
title_sort Atmospheric corrections in interferometric synthetic aperture radar surface deformation - a case study of the city of Mendoza, Argentina
dc.creator.none.fl_str_mv Balbarani, Sebastian
Euillades, Pablo Andrés
Euillades, Leonardo Daniel
Casullo, F.
Riveros, Natalia Cecilia
author Balbarani, Sebastian
author_facet Balbarani, Sebastian
Euillades, Pablo Andrés
Euillades, Leonardo Daniel
Casullo, F.
Riveros, Natalia Cecilia
author_role author
author2 Euillades, Pablo Andrés
Euillades, Leonardo Daniel
Casullo, F.
Riveros, Natalia Cecilia
author2_role author
author
author
author
dc.subject.none.fl_str_mv ATMOSPHERE
DIFFERENTIAL INTERFEROMETRY
CORRECTIONS
GAM
topic ATMOSPHERE
DIFFERENTIAL INTERFEROMETRY
CORRECTIONS
GAM
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Differential interferometry is a remote sensing technique that allows studying crustal deformation produced by several phenomena like earthquakes, landslides, land subsidence and volcanic eruptions. Advanced techniques, like small baseline subsets (SBAS), exploit series of images acquired by synthetic aperture radar (SAR) sensors during a given time span. Phase propagation delay in the atmosphere is the main systematic error of interferometric SAR measurements. It affects differently images acquired at different days or even at different hours of the same day. So, datasets acquired during the same time span from different sensors (or sensor configuration) often give diverging results. Here we processed two datasets acquired from June 2010 to December 2011 by COSMO-SkyMed satellites. One of them is HH-polarized, and the other one is VV-polarized and acquired on different days. As expected, time series computed from these datasets show differences. We attributed them to non-compensated atmospheric artifacts and tried to correct them by using ERAInterim global atmospheric model (GAM) data. With this method, we were able to correct less than 50 % of the scenes, considering an area where no phase unwrapping errors were detected. We conclude that GAM-based corrections are not enough for explaining differences in computed time series, at least in the processed area of interest. We remark that no direct meteorological data for the GAM-based corrections were employed. Further research is needed in order to understand under what conditions this kind of data can be used.
Fil: Balbarani, Sebastian. Universidad Nacional de Cuyo. Facultad de Ingenieria. Instituto de Capacitación Especial y Desarrollo de Ingeniería Asistida por Computadora; Argentina
Fil: Euillades, Pablo Andrés. Universidad Nacional de Cuyo. Facultad de Ingenieria. Instituto de Capacitación Especial y Desarrollo de Ingeniería Asistida por Computadora; Argentina
Fil: Euillades, Leonardo Daniel. Universidad Nacional de Cuyo. Facultad de Ingenieria. Instituto de Capacitación Especial y Desarrollo de Ingeniería Asistida por Computadora; Argentina
Fil: Casullo, F.. Consiglio Nazionale Delle Ricerche; Italia
Fil: Riveros, Natalia Cecilia. Universidad Nacional de Cuyo; Argentina
description Differential interferometry is a remote sensing technique that allows studying crustal deformation produced by several phenomena like earthquakes, landslides, land subsidence and volcanic eruptions. Advanced techniques, like small baseline subsets (SBAS), exploit series of images acquired by synthetic aperture radar (SAR) sensors during a given time span. Phase propagation delay in the atmosphere is the main systematic error of interferometric SAR measurements. It affects differently images acquired at different days or even at different hours of the same day. So, datasets acquired during the same time span from different sensors (or sensor configuration) often give diverging results. Here we processed two datasets acquired from June 2010 to December 2011 by COSMO-SkyMed satellites. One of them is HH-polarized, and the other one is VV-polarized and acquired on different days. As expected, time series computed from these datasets show differences. We attributed them to non-compensated atmospheric artifacts and tried to correct them by using ERAInterim global atmospheric model (GAM) data. With this method, we were able to correct less than 50 % of the scenes, considering an area where no phase unwrapping errors were detected. We conclude that GAM-based corrections are not enough for explaining differences in computed time series, at least in the processed area of interest. We remark that no direct meteorological data for the GAM-based corrections were employed. Further research is needed in order to understand under what conditions this kind of data can be used.
publishDate 2013
dc.date.none.fl_str_mv 2013-09-04
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/2606
Balbarani, Sebastian; Euillades, Pablo Andrés; Euillades, Leonardo Daniel; Casu, Francesco; Riveros, Natalia Cecilia; Atmospheric corrections in interferometric synthetic aperture radar surface deformation - a case study of the city of Mendoza, Argentina; Copernicus Publications on behalf of the European Geosciences Union (EGU); Advances in Geosciences; 35; 4-9-2013; 105-113
1680-7340
url http://hdl.handle.net/11336/2606
identifier_str_mv Balbarani, Sebastian; Euillades, Pablo Andrés; Euillades, Leonardo Daniel; Casu, Francesco; Riveros, Natalia Cecilia; Atmospheric corrections in interferometric synthetic aperture radar surface deformation - a case study of the city of Mendoza, Argentina; Copernicus Publications on behalf of the European Geosciences Union (EGU); Advances in Geosciences; 35; 4-9-2013; 105-113
1680-7340
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/
info:eu-repo/semantics/altIdentifier/url/http://dx.doi.rog/10.5194/adgeo-35-105-2013
info:eu-repo/semantics/altIdentifier/url/http://www.adv-geosci.net/35/105/2013/adgeo-35-105-2013.pdf
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
Atribución-NoComercial-CompartirIgual 2.5 Argentina (CC BY-NC-SA 2.5 AR)
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv Atribución-NoComercial-CompartirIgual 2.5 Argentina (CC BY-NC-SA 2.5 AR)
https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Copernicus Publications on behalf of the European Geosciences Union (EGU)
publisher.none.fl_str_mv Copernicus Publications on behalf of the European Geosciences Union (EGU)
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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