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Topography and displacement of polar glaciers from multi-temporal SAR interferograms

Published online by Cambridge University Press:  01 October 2007

Franz J. Meyer
Franz J. Meyer*
Affiliation:
Remote Sensing Technology Institute, German Aerospace Centre (DLR), Oberpfaffenhofen, D-82234 Wessling, Germany
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Abstract

This paper describes a new technique simultaneously to estimate topography and motion of polar glaciers from multi-temporal SAR interferograms. The approach is based on a combination of several SAR interferograms in a least-squares adjustment using the Gauss-Markov model. For connecting the multi-temporal data sets, a spatio-temporal model is proposed that describes the properties of the surface and its temporal evolution. Rigorous mathematical modelling of functional and stochastic relations allows for a systematic description of the processing chain. It is also an optimal tool to set parameters for the statistics of every individual processing step, and the propagation of errors into the results. Within the paper theoretical standard deviations of the unknowns are calculated depending on the configuration of the data sets. The influence of gross errors in the observations and the effect of non-modelled error sources on the unknowns are estimated. A validation of the approach based on real data concludes the paper.

Type
Articles
Information
Polar Record , Volume 43 , Issue 4 , October 2007 , pp. 331 - 343
Copyright
Copyright © Cambridge University Press 2007

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References

Bamler, R., and Hartl, P.. 1998. Synthetic aperture RADAR interferometry. Inverse Problems 14: R1–R54.CrossRefGoogle Scholar
Costantini, M. 1998. A novel phase unwrapping method based on network programming. IEEE Transactions on Geoscience and Remote Sensing 36 (3): 813–821.CrossRefGoogle Scholar
Fatland, D., and Lingle, C.. 1998. Analysis of the 1993–95 Bering Glacier (Alaska) surge using differential SAR interferometry. Journal of Glaciology 44: 532–546.CrossRefGoogle Scholar
Folland, C., and Karl, T.. 2001. Climate change 2001: the scientific basis. (Intergovernmental Panel on Climate Change (IPCC) Technical report). Cambridge: Cambridge University Press.Google Scholar
Frolich, R., and Doake, C.. 1998. Synthetic aperture radar interferometry over Rutford Ice Stream and Carlson Inlet, Antarctica. Journal of Glaciology 44 (146): 77–92.CrossRefGoogle Scholar
Goldstein, R., Engelhardt, H., Kamb, B., and Frolich, R.. 1993. Satellite radar interferometry for monitoring ice sheet motion: application to an Antarctic ice stream. Science 262: 1525–1530.CrossRefGoogle Scholar
Gray, A., Mattar, K., Geudtner, D., and Vachon, P.. 1997. Experiments at the CCRS using ERS tandem mode data. In: Proceedings of 3rd ERS Symposium, 14–21 March 1997. URL: http://earth.esa.int/workshops/ers97/papers/gray/.Google Scholar
Hanssen, R. 2001. Radar interferometry: data interpretation and error analysis. Vol. 2. Dordrecht: Kluwer Academic Publishers.CrossRefGoogle Scholar
Hoen, E. 2001. A correlation-based approach to modeling interferometric RADAR observations of the Greenland ice sheet. Unpublished PhD dissertation, Stanford University: Department of Applied Physics.Google Scholar
Lee, J.-S., Hoppel, K., and Mango, S.. 1994. Intensity and phase statistics of multilook polarimetric and interferometric SAR imagery. IEEE Transactions on Geoscience and Remote Sensing 32 (5): 1017–1028.Google Scholar
Mikhail, E., 1976. Observations and least squares. New York: IEP.Google Scholar
Rack, W., Nixdorf, U., Miller, H., and Runge, H.. 2004. Improved monitoring of polar land ice dynamics by means of SAR interferometry: ICEDANCE. In: Proceedings of 4th International Symposium on Retrieval of Bio- and Geophysical Parameters from SAR Data for Land Applications, Innsbruck 2004: 410–415.Google Scholar
Vinogradov, O., and Psaryova, T.. 1965. Katalog lednikov SSSR – Zemlya Frantsa-Iosifa [Catalogue of ice sheets of the Soviet Union – Franz Josef Land]. Vol. 3. Moscow: Gidrometeoizdat Press.Google Scholar