Sentinel-1 ice surface velocities of Svalbard ...

• Main Authors: Friedl, Peter, Seehaus, Thorsten, Braun, Matthias
• Format: Dataset
• Language: unknown
• Published: GFZ Data Services 2021
• Subjects: ice velocity; remote sensing; feature tracking; speckle tracking; Sentinel-1; SAR; Earth Observation Satellites > Sentinel GMES > SENTINEL-1A; Earth Observation Satellites > Sentinel GMES > SENTINEL-1B; Earth Remote Sensing Instruments > Active Remote Sensing > Imaging Radars > SENTINEL-1 C-SAR; EARTH SCIENCE > CRYOSPHERE > GLACIERS/ICE SHEETS > GLACIER MOTION/ICE SHEET MOTION; EARTH SCIENCE > CRYOSPHERE > GLACIERS/ICE SHEETS > GLACIERS; Svalbard; glacier; Ice Sheet
• Online Access: https://dx.doi.org/10.5880/fidgeo.2021.016; https://dataservices.gfz-potsdam.de/panmetaworks/showshort.php?id=ff7c6954-8d8c-11eb-9603-497c92695674

The data set comprises Sentinel-1 scene pair-velocity fields, as well as monthly and annually averaged velocity mosaics over Svalbard for the period January 2015 - November 2020. The data are provided as GeoTIFF rasters in UTM (scene-pair velocity fields) and polar stereographic north (mosaics) coordinate reference systems at a spatial resolution of 200 m and were derived by applying a well-established intensity offset tracking algorithm (Strozzi et al., 2002; Wegmüller et al., 2016; Friedl et al., 2018; Wendleder et al., 2018; Seehaus et al., 2018). For tracking, we used consecutive pairs of single or dual polarized Sentinel-1 SLC (Single Look Complex) TOPS (Terrain Observation with Progressive Scans in azimuth) SAR (Synthetic Aperture Radar) images recorded in IW (Interferometric Wide swath) mode at a pixel spacing of ~14 m in azimuth (az) and ~3 m in range (r), and a spatial coverage of ~250 x 250 km. For the time from 2015 to 2016, Sentinel-1 imagery is available at a minimum repeat cycle of 12 days and ... : Scene pair-velocity fields were generated by applying intensity offset tracking (feature tracking and speckle tracking) on two subsequent Sentinel-1 images (master and slave scene), using a window size of 250 x 50 pixels and a step size of 50 x 10 pixels. The results were (1) UTM-geocoded and orthorectified with the help of an external digital elevation model (3 arc second TanDEM-X Global DEM, Wessel et al., 2018), (2) filtered with an effective three-step filter approach (Lüttig et al., 2017) that removes > 99% of erroneous measurements and (3) corrected for remaining coregistration errors based on the median of the filtered range- and the azimuth-velocities measured over ice-free ground. The effective time stamp of each velocity field is derived as the mean date of the acquisition dates of the master and the slave scene. Annual and monthly mosaics were derived from all filtered and corrected scene pair-velocity products that have a time stamp between 1 January–31 December of a year and between the first ...