InSAR Performance for Large-Scale Deformation Measurement
Alessandro Parizzi, Ramon Brcic, Francesco De Zan
Abstract
This article deals with the analysis of InSAR performance for large-scale deformation measurement. The study evaluates the use of models, especially numerical weather prediction reanalysis, to mitigate disturbances in SAR interferograms. The impact of such corrections is evaluated by analyzing short-time baseline phase variograms in order to derive a lower bound for the interferometric accuracy, especially at large distances. The variance is then propagated from single interferograms to deformation rates. Finally, using GNSS measurements, the predicted error bars are validated on a large Sentinel-1 data set.
Topics & Concepts
Interferometric synthetic aperture radarGeodesyGNSS applicationsInterferometryDeformation (meteorology)Remote sensingScale (ratio)GNSS augmentationData setSynthetic aperture radarBaseline (sea)GeologyObservational errorGlobal Positioning SystemComputer scienceStatisticsMathematicsOpticsTelecommunicationsArtificial intelligenceOceanographyQuantum mechanicsPhysicsSynthetic Aperture Radar (SAR) Applications and TechniquesSoil Moisture and Remote SensingCryospheric studies and observations