A Multiple Algorithm Approach to the Analysis of GNSS Coordinate Time Series for Detecting Geohazards and Anomalies
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Markus Rothacher | Markus Rothacher | Richard Bingley | Panos A. Psimoulis | Mohammed Habboub | Mohammed O. Habboub | Panos Psimoulis | M. Rothacher | R. Bingley | P. Psimoulis
[1] Yehuda Bock,et al. Physical applications of GPS geodesy: a review , 2016, Reports on progress in physics. Physical Society.
[2] C. Manski. Identification of Endogenous Social Effects: The Reflection Problem , 1993 .
[3] Yusaku Ohta,et al. Quasi real‐time fault model estimation for near‐field tsunami forecasting based on RTK‐GPS analysis: Application to the 2011 Tohoku‐Oki earthquake (Mw 9.0) , 2012 .
[4] G. Blewitt,et al. MIDAS robust trend estimator for accurate GPS station velocities without step detection , 2016, Journal of geophysical research. Solid earth.
[5] Yoshiaki Hisada,et al. Application of an earthquake early warning system and a real-time strong motion monitoring system in emergency response in a high-rise building , 2011 .
[6] Benjamin Edwards,et al. The potential of high-rate GPS for strong ground motion assessment; AGU 2016 Fall Meeting , 2017 .
[7] Sarah E. Minson,et al. Demonstration of the Cascadia G‐FAST Geodetic Earthquake Early Warning System for the Nisqually, Washington, Earthquake , 2016 .
[8] Markus Rothacher,et al. Assessment of high-rate GPS using a single-axis shake table , 2012, Journal of Geodesy.
[9] A H Dodson,et al. Using continuous GPS and absolute gravity to separate vertical land movements and changes in sea-level at tide-gauges in the UK , 2006, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[10] Nicolas Fournier,et al. Detecting complex eruption sequence and directionality from high-rate geodetic observations: The August 6, 2012 Te Maari eruption, Tongariro, New Zealand , 2014 .
[11] Matt A. King,et al. Detecting offsets in GPS time series: First results from the detection of offsets in GPS experiment , 2013 .
[12] Simon D. P. Williams,et al. Offsets in Global Positioning System time series , 2003 .
[13] Hans-Peter Plag,et al. Rapid determination of earthquake magnitude using GPS for tsunami warning systems , 2006 .
[14] Tak-Chung Fu,et al. A review on time series data mining , 2011, Eng. Appl. Artif. Intell..
[15] Bovas Abraham,et al. PARAMETRIC AND NON‐PARAMETRIC MODELLING OF TIME SERIES — AN EMPIRICAL STUDY , 1997 .
[16] M. Rothacher,et al. Long-period surface motion of the multi-patch Mw9.0 Tohoku-Oki earthquake , 2014 .
[17] Richard M. Allen,et al. Application of real‐time GPS to earthquake early warning in subduction and strike‐slip environments , 2013 .
[18] Yunfeng Tian,et al. Extracting the regional common‐mode component of GPS station position time series from dense continuous network , 2016 .
[19] P. Teunissen,et al. Assessment of noise in GPS coordinate time series : Methodology and results , 2007 .
[20] T. Dixon,et al. GPS geodetic constraints on Caribbean‐North America Plate Motion , 2000 .
[21] U. Hugentobler,et al. Estimation of velocity uncertainties from GPS time series: Examples from the analysis of the South African TrigNet network , 2011 .
[22] Kenneth W. Hudnut,et al. Southern California Permanent GPS Geodetic Array: Continuous measurements of regional crustal deformation between the 1992 Landers and 1994 Northridge earthquakes , 1997 .
[23] Louis de Mesnard. Pollution models and inverse distance weighting: Some critical remarks , 2013, Comput. Geosci..
[24] Yehuda Bock,et al. Rapid modeling of the 2011 Mw 9.0 Tohoku‐oki earthquake with seismogeodesy , 2013 .
[25] Lionel Benoit,et al. Monitoring landslide displacements with the Geocube wireless network of low-cost GPS , 2015 .
[26] Lei Wang,et al. Plate Boundary Observatory and related networks: GPS data analysis methods and geodetic products , 2016 .
[27] Geoffrey Blewitt,et al. Advances in Global Positioning System Technology for Geodynamics Investigations: 1978–1992 , 2013 .
[28] Víctor M. Cruz-Atienza,et al. Rapid Estimation of Fault Parameters for Tsunami Warning along the Mexican Subduction Zone: A Scenario Earthquake in the Guerrero Seismic Gap , 2013 .
[29] Nico Sneeuw,et al. Singular spectrum analysis for modeling seasonal signals from GPS time series , 2013 .
[30] M. Rothacher,et al. Consistency of PPP GPS and strong-motion records: case study of Mw9.0 Tohoku-Oki 2011 earthquake , 2014 .
[31] Paul Segall,et al. Network-based estimation of time-dependent noise in GPS position time series , 2015, Journal of Geodesy.
[32] Chao Zhou,et al. A novel method for landslide displacement prediction by integrating advanced computational intelligence algorithms , 2018, Scientific Reports.
[33] M. Marcos,et al. Vertical land motion as a key to understanding sea level change and variability , 2016 .
[34] Yehuda Bock,et al. Instantaneous geodetic positioning at medium distances with the Global Positioning System , 2000 .
[35] Sotirios Thanos,et al. Putting time into space: the temporal coherence of spatial applications in the housing market , 2016 .
[36] Michelle L Bell,et al. The use of ambient air quality modeling to estimate individual and population exposure for human health research: a case study of ozone in the Northern Georgia Region of the United States. , 2006, Environment international.
[37] Jong Wan Hu,et al. Optimizing the De-Noise Neural Network Model for GPS Time-Series Monitoring of Structures , 2015, Sensors.
[38] N. K. Samadhiya,et al. Review of geohazard warning systems toward development of a popular usage geohazard warning communication system , 2012 .
[39] Markus Rothacher,et al. Detection of ground motions using high-rate GPS time-series , 2018 .
[40] Jeffrey T. Freymueller,et al. The dynamics of a seismic wave field: Animation and analysis of kinematic GPS data recorded during the 2011 Tohoku‐oki earthquake, Japan , 2011 .
[41] Jianghui Geng,et al. A new seismogeodetic approach applied to GPS and accelerometer observations of the 2012 Brawley seismic swarm: Implications for earthquake early warning , 2013 .
[42] Hecht-Nielsen. Theory of the backpropagation neural network , 1989 .
[43] D. Grejner-Brzezinska,et al. Analysis of long-range network RTK during a severe ionospheric storm , 2005 .
[44] Kristine M. Larson. A new way to detect volcanic plumes , 2013 .
[45] Enrico Serpelloni,et al. Vertical GPS ground motion rates in the Euro‐Mediterranean region: New evidence of velocity gradients at different spatial scales along the Nubia‐Eurasia plate boundary , 2013 .
[46] Dave Winkler,et al. Bayesian Regularization of Neural Networks , 2009, Artificial Neural Networks.
[47] M. Bouin,et al. Correlated errors in GPS position time series: Implications for velocity estimates , 2011 .
[48] J. Paul Elhorst,et al. Applied Spatial Econometrics: Raising the Bar , 2010 .
[49] Panagiotis Psimoulis,et al. Real‐Time Magnitude Characterization of Large Earthquakes Using the Predominant Period Derived From 1 Hz GPS Data , 2017 .
[50] Weijin Jiang,et al. Nonlinear time series forecasting of time-delay neural network embedded with Bayesian regularization , 2008, Appl. Math. Comput..
[51] B. Hubbell,et al. Estimating the National Public Health Burden Associated with Exposure to Ambient PM2.5 and Ozone , 2012, Risk analysis : an official publication of the Society for Risk Analysis.
[52] Geoffrey Blewitt,et al. Crustal displacements due to continental water loading , 2001 .
[53] D. Griffith. Spatial Autocorrelation and Spatial Filtering , 2003 .
[54] M. D. Ugarte,et al. Introduction to Spatial Econometrics , 2011 .
[55] Robert Odolinski,et al. Instantaneous BeiDou+GPS RTK positioning with high cut-off elevation angles , 2014, Journal of Geodesy.
[56] S. Williams. The effect of coloured noise on the uncertainties of rates estimated from geodetic time series , 2003 .
[57] G. Blewitt,et al. GPS for real-time earthquake source determination and tsunami warning systems , 2009 .
[58] Demitris Paradissis,et al. GPS constraints on continental deformation in the Africa‐Arabia‐Eurasia continental collision zone and implications for the dynamics of plate interactions , 2005 .
[59] Jean-Philippe Montillet,et al. Estimation of offsets in GPS time-series and application to the detection of earthquake deformation in the far-field , 2015 .
[60] Lei Zhang,et al. Evaluating the Effects of Size and Precision of Training Data on ANN Training Performance for the Prediction of Chaotic Time Series Patterns , 2019, Int. J. Softw. Sci. Comput. Intell..
[61] Dionne Hansen,et al. New Estimates of Present-Day Crustal/Land Motions in the British Isles Based on the BIGF Network , 2012 .
[62] R. Webster,et al. Kriging: a method of interpolation for geographical information systems , 1990, Int. J. Geogr. Inf. Sci..
[63] Richard M. Allen,et al. Application of real‐time GPS to earthquake early warning , 2011 .
[64] David M. Boore,et al. Comments on Baseline Correction of Digital Strong-Motion Data: Examples from the 1999 Hector Mine, California, Earthquake , 2002 .
[65] Yehuda Bock,et al. Demonstration of Earthquake Early Warning Using Total Displacement Waveforms from Real-time GPS Networks , 2009 .
[66] Alaa Ali. Nonlinear multivariate rainfall–stage model for large wetland systems , 2009 .
[67] Yehuda Bock,et al. Southern California permanent GPS geodetic array: Spatial filtering of daily positions for estimating coseismic and postseismic displacements induced by the 1992 Landers earthquake , 1997 .
[68] T. Wright,et al. Real‐time, reliable magnitudes for large earthquakes from 1 Hz GPS precise point positioning: The 2011 Tohoku‐Oki (Japan) earthquake , 2012 .
[69] John Langbein,et al. Evaluation of Temporally Correlated Noise in Global Navigation Satellite System Time Series: Geodetic Monument Performance , 2019, Journal of Geophysical Research: Solid Earth.
[70] Gethin Wyn Roberts,et al. Investigating multi-GNSS performance in the UK and China based on a zero-baseline measurement approach , 2017 .
[71] Alireza Amiri-Simkooei,et al. On the nature of GPS draconitic year periodic pattern in multivariate position time series , 2013 .
[72] G. S. Kumar,et al. Performance analysis of Levenberg-Marquardt and Steepest Descent algorithms based ANN to predict compressive strength of SIFCON using manufactured sand , 2017 .
[73] Amir F. Atiya,et al. An Empirical Comparison of Machine Learning Models for Time Series Forecasting , 2010 .
[74] Guoqiang Peter Zhang,et al. A neural network ensemble method with jittered training data for time series forecasting , 2007, Inf. Sci..
[75] Riccardo E. M. Riva,et al. Postseismic GRACE and GPS observations indicate a rheology contrast above and below the Sumatra slab , 2015 .
[76] Weiping Jiang,et al. Filtering of GPS Time Series Using Geophysical Models and Common Mode Error Analysis , 2019, Geodetic Time Series Analysis in Earth Sciences.
[77] Guillaume Ramillien,et al. Detecting hydrologic deformation using GRACE and GPS , 2009 .
[78] John Langbein,et al. Noise in two‐color electronic distance meter measurements revisited , 2004 .
[79] J. C. Savage,et al. Postseismic relaxation and transient creep , 2005 .
[80] Wujiao Dai,et al. Extracting seasonal deformations of the Nepal Himalaya region from vertical GPS position time series using Independent Component Analysis , 2017 .
[81] Les E. Atlas,et al. Recurrent neural networks and robust time series prediction , 1994, IEEE Trans. Neural Networks.
[82] Mike P. Stewart,et al. GPS height time series: Short‐period origins of spurious long‐period signals , 2007 .