1Department of Geography, University of Zurich, Switzerland
2Computer Engineering and Networks Laboratory, ETH, Zurich, Switzerland
3Carleton University, Ottawa, Canada
4Federal office of Meteorology and Climatology Meteoswiss, Zurich, Switzerland
Received: 10 Jan 2014 – Discussion started: 05 Feb 2014
Abstract. 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.
Accepted: 22 Jul 2014 – Published: 23 Sep 2014
Wirz, V., Beutel, J., Gruber, S., Gubler, S., and Purves, R. S.: Estimating velocity from noisy GPS data for investigating the temporal variability of slope movements, Nat. Hazards Earth Syst. Sci., 14, 2503-2520, doi:10.5194/nhess-14-2503-2014, 2014.