Deformation Signals from 6+ Years of INSAR+GNSS Time Series in California

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium(2023)

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摘要
Time series produced through processing large Synthetic Aperture Radar (SAR) datasets have begun to revolutionize our understanding of crustal signals at spatial scales smaller than can be observed by GNSS arrays. Here, we present insights from our processing of nine tracks of ascending/descending Sentinel-1 InSAR time series data, processed between November 2014 (2014.8500) and January 2022 (2022.0000), spanning the San Andreas Fault plate boundary in California using published methods [1] [2] . To correct for long-wavelength atmospheric effects and to apply an underlying ITRF 2014 reference frame, we integrate this InSAR time series with continuous GNSS coordinate time series datasets from the NASA MEaSUREs ESESES project [3] . The ascending and descending integrated time series are provided at a 6 – 12-day temporal sampling and a 500 m wavelength filter leading to a pixel resolution of 125 m ( https://topex.ucsd.edu/gmtsar/insargen/ ).
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关键词
ascending descending integrated time series,California,continuous GNSS,crustal signals,deformation signals,GNSS arrays,INSAR+GNSS time series,January 2022,long-wavelength atmospheric effects,November 2014,San Andreas Fault plate boundary,spatial scales,Synthetic Aperture Radar datasets,time series datasets,underlying ITRF 2014 reference frame
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