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| Titel |
Estimating velocity from noisy GPS data for investigating the temporal variability of slope movements |
| VerfasserIn |
V. Wirz, J. Beutel, S. Gruber, S. Gubler, R. S. Purves |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Sciences ; 14, no. 9 ; Nr. 14, no. 9 (2014-09-23), S.2503-2520 |
| Datensatznummer |
250118666
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| Publikation (Nr.) |
 copernicus.org/nhess-14-2503-2014.pdf |
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| Zusammenfassung |
| Detecting and monitoring of moving and potentially hazardous slopes requires
reliable estimations of velocities. Separating any movement signal from
measurement noise is crucial for understanding the temporal variability of
slope movements and detecting changes in the movement regime, which may be
important indicators of the process. Thus, methods capable of estimating velocity
and its changes reliably are required. In this paper we develop and test a
method for deriving velocities based on noisy GPS (Global Positioning System) data, suitable for various
movement patterns and variable signal-to-noise-ratios (SNR). We tested this
method on synthetic data, designed to mimic the characteristics of diverse
processes, but where we have full knowledge of the underlying velocity
patterns, before applying it to explore data collected. |
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