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A direct method to estimate atmospheric phase delay for insar with global atmospheric models
dc.contributor.author | Hu, Zhongbo |
dc.contributor.author | Mallorquí Franquet, Jordi Joan |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.date.accessioned | 2019-04-30T17:22:58Z |
dc.date.issued | 2018 |
dc.identifier.citation | Hu, Z.; Mallorqui, J.J. A direct method to estimate atmospheric phase delay for insar with global atmospheric models. A: IEEE International Geoscience and Remote Sensing Symposium. "2018 IEEE International Geoscience & Remote Sensing Symposium: proceedings: July 22–27, 2018 Valencia, Spain". Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 2196-2199. |
dc.identifier.isbn | 978-1-5386-7150 |
dc.identifier.uri | http://hdl.handle.net/2117/132445 |
dc.description.abstract | Differential Interferometric Synthetic Aperture Radar (DInSAR) has proved its unprecedented advantages of monitoring ground deformation on large scale with centimeter to millimeter precision in the last two decades. However, the reliability and accuracy are often contaminated with atmospheric artefacts caused by spatial and temporal variations of the atmosphere. Recent studies revealed atmospheric artefacts can be compensated with empirical models, GPS zenith path delay and numerical weather prediction models. In this paper, an improved methodology is proposed based on atmospheric reanalysis data to estimate atmospheric artefacts. With our approach, the realistic line of sight (LOS) path along satellite location and monitored points is considered, rather than the zenith path delay. The effectiveness of our method is validated over Tenerife island, Spain by using Sentinel1 datasets. |
dc.format.extent | 4 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació |
dc.subject.lcsh | Global Positioning System |
dc.subject.other | InSAR |
dc.subject.other | atmospheric artefacts |
dc.subject.other | APS |
dc.subject.other | Meteorology data |
dc.subject.other | ECMWF |
dc.subject.other | uncertainty |
dc.subject.other | Sentinel1. |
dc.title | A direct method to estimate atmospheric phase delay for insar with global atmospheric models |
dc.type | Conference lecture |
dc.subject.lemac | Sistema de posicionament global |
dc.contributor.group | Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció |
dc.identifier.doi | 10.1109/IGARSS.2018.8517688 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/8517688 |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 23836624 |
dc.description.version | Postprint (published version) |
dc.date.lift | 10000-01-01 |
local.citation.author | Hu, Z.; Mallorqui, J.J. |
local.citation.contributor | IEEE International Geoscience and Remote Sensing Symposium |
local.citation.publicationName | 2018 IEEE International Geoscience & Remote Sensing Symposium: proceedings: July 22–27, 2018 Valencia, Spain |
local.citation.startingPage | 2196 |
local.citation.endingPage | 2199 |