Railway subsidence monitoring by high resolution INSAR time series analysis in Tianjin

2011 ◽  
Author(s):  
Qingli Luo ◽  
Daniele Perissin ◽  
Hui Lin ◽  
Qinghua Li ◽  
Ralf Duering
Keyword(s):  
Time Series ◽  
High Resolution ◽  
Time Series Analysis ◽  
Series Analysis ◽  
Subsidence Monitoring

scholarly journals Applications of time series analysis in geosciences: an overview of methods and sample applications

2013 ◽  
Vol 10 (10) ◽  
pp. 12793-12827 ◽  
Author(s):  
W. Gossel ◽  
R. Laehne
Keyword(s):  
Time Series ◽  
High Resolution ◽  
Time Series Analysis ◽  
Spatial Data ◽  
Data Sets ◽  
New Methods ◽  
Series Analysis ◽  
High Resolution Analysis ◽  
Resolution Analysis ◽  
New Research

Abstract. Time series analysis methods are compared based on four geoscientific datasets. New methods such as wavelet analysis, STFT and period scanning bridge the gap between high resolution analysis of periodicities and non-equidistant data sets. The sample studies include not only time series but also spatial data. The application of variograms as an addition to or instead of autocorrelation opens new research possibilities for storage parameters.

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