Por favor, use este identificador para citar o enlazar este ítem: https://hdl.handle.net/20.500.12008/38722
MetadatoEtiquetaValorIdioma
dc.contributor.author Autor Musé, Pabloes
dc.contributor.author Autor Hetland, Erices
dc.contributor.author Autor Simons, Markes
dc.contributor.author Autor Lin, Yunung Ninaes
dc.contributor.author Autor DiCaprio, Christopheres
dc.date.accessioned Fecha ingreso 2023-08-01T20:33:29Z-
dc.date.available Fecha disponible 2023-08-01T20:33:29Z-
dc.date.issued Año de publicación 2010es
dc.date.submitted Fecha de subida 20230801es
dc.description.abstract Resumen When targeting small amplitude surface deformation, using repeat orbit Interferometric Synthetic Aperture Radar (InSAR) observations can be plagued by propagation delays, some of which correlate with topographic variations. These topographically‐correlated delays result from temporal variations in vertical stratification of the troposphere. An approximate model assuming a linear relationship between topography and interferometric phase has been used to correct observations with success in a few studies. Here, we present a robust approach to estimating the transfer function, K, between topography and phase that is relatively insensitive to confounding processes (earthquake deformation, phase ramps from orbital errors, tidal loading, etc.). Our approach takes advantage of a multiscale perspective by using a band‐pass decomposition of both topography and observed phase. This decomposition into several spatial scales allows us to determine the bands wherein correlation between topography and phase is significant and stable. When possible, our approach also takes advantage of any inherent redundancy provided by multiple interferograms constructed with common scenes. We define a unique set of component time intervals for a given suite of interferometric pairs. We estimate an internally consistent transfer function for each component time interval, which can then be recombined to correct any arbitrary interferometric pair. We demonstrate our approach on a synthetic example and on data from two locations: Long Valley Caldera, California, which experienced prolonged periods of surface deformation from pressurization of a deep magma chamber, and one coseismic interferogram from the 2007 Mw 7.8 Tocapilla earthquake in northern Chile. In both examples, the corrected interferograms show improvements in regions of high relief, independent of whether or not we pre‐correct the data for a source model. We believe that most of the remaining signals are predominately due to heterogeneous water vapor distribution that requires more sophisticated correction methods than those described here.es
dc.identifier.citation Citación Musé, P, Hetland, E, Simons, M, Lin, Y, DiCaprio, C. “A multiscale approach to estimating topographically correlated propagation delays in radar interferograms” [Preprint] Publicado en Geochemistry, Geophysics, Geosystems, 2010, v.11, no. 9. doi:10.1029/2010GC003228es
dc.identifier.uri URI https://hdl.handle.net/20.500.12008/38722-
dc.language metadata.dc.language enes
dc.rights Derechos Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad De La República. (Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)es
dc.rights.licence Licencia Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)es
dc.subject Palabras clave Atmospheric delayes
dc.subject Palabras clave Multiscale analysises
dc.subject Palabras clave InSARes
dc.subject Palabras clave Long Valley Calderaes
dc.subject Palabras clave Tocopilla earthquakees
dc.title Título A multiscale approach to estimating topographically correlated propagation delays in radar interferogramses
dc.type Tipo de documento Preprintes

Colecciones:

Publicaciones académicas y científicas
FicherosDescripciónTamañoFormato
LSHMD10.pdf — 5.81 MB Adobe PDF
Atrás