1. Car-borne repeat-pass interferometry at L-band: measuring glacier flow velocity.
- Author
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Frey, Othmar, Werner, Charles, and Coscione, Roberto
- Subjects
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SYNTHETIC aperture radar , *FLOW velocity , *NAVIGATION , *GLACIERS , *DIFFERENTIAL forms , *GRIDS (Cartography) , *INTERFEROMETRY - Abstract
In this contribution, we show first results of repeat-pass interferometric measurements of glacier flow velocity obtained in fall 2018 with Gamma Remote Sensing's novel GS-L system, a compact synthetic aperture radar system at L-band. In this experiment, the GS-L SAR system was operated in a car-borne mode so that mobile mapping of a glacier and its surroundings could be performed from a road. Several repeat-pass SAR acquisitions where taken along a slightly curved road section on the "Susten" mountain pass, in central Switzerland, from which substantial parts of the "Steingletscher" glacier can be imaged.The carborne SAR data was focused along a synthetic aperture of approx. 250m using a time-domain back-projection (TDBP) approach and the data was focused directly to a reconstruction grid in map coordinates [1,2].A CUDA/ ANSI C implementation of the TDBP focusing was used to focus the data as described in our previous Ku-band carborne SAR test cases [3-6]. The TDBP-processing to map coordinates --- involving an accurate digital elevation model --- allows to directly form differential interferograms in map coordinates.A highly-precise navigation-grade ring-laser-gyro INS/GNSS system with a local GNSS reference station was used for positioning and attitude determination of the SAR system so that the azimuth-varying baselines (due to the repeated slightly different driving paths on the road) are well-known and the topography induced phase can be directly removed to a large extent by means of the TDBP-based focusing procedure.In the context of the DInSAR-based estimation of glacier flow velocity that is presented we discuss aspects such as mitigation of troposphere-induced phase contributions and residual motion-induced phases, as well as interferometric stacking of the time-series of carborne repeat-pass measurements.References:[1] O. Frey and C. Magnard and M. Ruegg and E. Meier, "Focusing of Airborne Synthetic Aperture Radar Data from Highly Nonlinear Flight Tracks," IEEE Trans. Geosci. Remote Sens., vol. 47, no. 6, pp. 1844–1858, 2009 [Online]. Available: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4812049[2] O. Frey, E. Meier, and D. Nuesch, "Processing SAR data of rugged terrain by time-domain back-projection," in SPIE Vol. 5980: SAR Image Analysis, Modeling, and Techniques X, 2005. [3] O. Frey, C. L. Werner, U. Wegmuller, A. Wiesmann, D. Henke, and C. Magnard, "A car-borne SAR and InSAR experiment," in Proc. IEEE Int. Geosci. Remote Sens. Symp., 2013, pp. 93–96 [Online]. Available: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6721100[4] O. Frey, C. L. Werner, and U. Wegmuller, "GPU-based parallelized time-domain back-projection processing for agile SAR platforms," in Proc. IEEE Int. Geosci. Remote Sens. Symp., 2014, pp. 1132–1135.[5] O. Frey, C. L. Werner, I. Hajnsek, and R. Coscione, "A car-borne SAR system for interferometric measurements: development status and system enhancements," in Proc. IEEE Int. Geosci. Remote Sens. Symp., 2018, pp. 6508–6511. [6] R. Coscione, I. Hajnsek, and O. Frey, "An experimental car-borne SAR System: measurement setup and positioning error analysis," in Proc. IEEE Int. Geosci. Remote Sens. Symp., 2018, pp. 6364–6367. [ABSTRACT FROM AUTHOR]
- Published
- 2019