Pair Selection Optimization for InSAR Time Series Processing

Smittarello, D.; d’Oreye, N.; Jaspard, M.; De Rauw, Dominique; Samsonov, S.

doi:10.1029/2021jb022825

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Pair Selection Optimization for InSAR Time Series Processing

Smittarello, D.; d’Oreye, N.; Jaspard, M. et al.

2022 • In Journal of Geophysical Research. Solid Earth, 127 (3)

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https://hdl.handle.net/2268/288461

DOI
10.1029/2021jb022825

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Keywords :

Earth and Planetary Sciences (miscellaneous); Geophysics; SAR interferometry; Time series; Displacement monitoring

Abstract :

[en] The ever-increasing amount of Synthetic Aperture Radar (SAR) data motivates the development of automatic processing chains to fully exploit the opportunities offered by these large databases. The Synthetic Aperture Radar Interferometry (InSAR) Mass processing Toolbox for Multidimensional time series is an optimized tool to automatically download SAR data, select the interferometric pairs, perform the interferometric mass processing, compute the geocoded deformation maps, invert and display the velocity maps and the 2D time series on a web page updated incrementally as soon as a new image is available. New challenges relate to data management and processing load. We address them through methodological improvements dedicated to optimizing the InSAR pair selection. The proposed algorithm narrows the classical selection based on the shortest temporal and spatial baselines thanks to a coherence proxy and balances the use of each image as Primary and Secondary images thanks to graph theory methods. We apply the processing to three volcanic areas characterized with different climate, vegetation, and deformation characteristics: the Virunga Volcanic Province (DR Congo), the Reunion Island (France), and the Domuyo and Laguna del Maule area (Chile-Argentina border). Compared to pair selection based solely on baseline criteria, this new tool produces similar velocity maps while reducing the total number of computed differential InSAR interferograms by up to 75%, which drastically reduces the computation time. The optimization also allows to reduce the influence of DEM errors and atmospheric phase screen, which increase the signal-to-noise ratio of the inverted displacement time series.

Research center :

European Centre of Geodynamics and Seismology
Canada Center for Mapping and Earth Observation, Natural Resources Canada (NRCAN), Ottawa, ON, Canada
Instituto de Investigación en Paleontología y Geología - CONICET, Universidad Nacional de Rio Negro, Argentina
CSL - Centre Spatial de Liège - ULiège

Disciplines :

Earth sciences & physical geography

Author, co-author :

Smittarello, D. ; European Center for Geodynamics and Seismology Walferdange Grand Duchy of Luxembourg

d’Oreye, N. ; European Center for Geodynamics and Seismology Walferdange Grand Duchy of Luxembourg ; National Museum of Natural History Department of Geophysics/Astrophysics Walferdange Grand‐Duchy of Luxembourg

Jaspard, M.; European Center for Geodynamics and Seismology Walferdange Grand Duchy of Luxembourg

De Rauw, Dominique ; Université de Liège - ULiège > Unités de recherche interfacultaires > Space sciences, Technologies and Astrophysics Research (STAR) ; European Center for Geodynamics and Seismology Walferdange Grand Duchy of Luxembourg ; Laboratorio de Estudio y Seguimiento de Volcanes Activos (LESVA) IIPG‐Universidad Nacional de Rio Negro ‐ CONICET General Roca Argentina ; Centre Spatial de Liège (CSL) Liège Belgium

Samsonov, S. ; Canada Center for Mapping and Earth Observation Natural Resources Canada (NRCAN) Ottawa ON Canada

Language :

English

Title :

Pair Selection Optimization for InSAR Time Series Processing

Publication date :

26 February 2022

Journal title :

Journal of Geophysical Research. Solid Earth

ISSN :

2169-9313

eISSN :

2169-9356

Publisher :

American Geophysical Union (AGU)

Volume :

127

Issue :

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021JB022825

Funders :

BELSPO - Belgian Science Policy Office [BE]

Available on ORBi :

since 26 February 2022

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