Litcius/Paper detail

An InSAR‐GNSS Velocity Field for Iran

Andrew Watson, John R. Elliott, Milan Lazecký, Yasser Maghsoudi, Jack McGrath, R. J. Walters

2024Geophysical Research Letters21 citationsDOIOpen Access PDF

Abstract

Abstract We present average ground‐surface velocities and strain rates for the 1.7 million km 2 area of Iran, from the joint inversion of InSAR‐derived displacements and GNSS data. We generate interferograms from 7 years of Sentinel‐1 radar acquisitions, correct for tropospheric noise using the GACOS system, estimate average velocities using LiCSBAS time‐series analysis, tie this into a Eurasia‐fixed reference frame, and perform a decomposition to estimate East and Vertical velocities at 500 m spacing. Our InSAR‐GNSS velocity fields reveal predominantly diffuse crustal deformation, with localized interseismic strain accumulation along the North Tabriz, Main Kopet Dagh, Main Recent, Sharoud, and Doruneh faults. We observe signals associated with recent groundwater subsidence, co‐ and postseismic deformation, active salt diaprism, and sediment motion. We derive high‐resolution strain rate estimates on a country‐ and fault‐scale, and discuss the difficulties of mapping diffuse strain rates in areas with abundant non‐tectonic and anthropogenic signals.

Topics & Concepts

GeologyInterferometric synthetic aperture radarGeodesyGNSS applicationsTectonicsSeismologySubsidenceGeodetic datumGNSS augmentationDeformation (meteorology)Global Positioning SystemRemote sensingSynthetic aperture radarGeomorphologyComputer scienceStructural basinOceanographyTelecommunicationsearthquake and tectonic studiesSynthetic Aperture Radar (SAR) Applications and TechniquesEarthquake Detection and Analysis