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| Titel |
Automated classification of Persistent Scatterers Interferometry time series |
| VerfasserIn |
M. Berti, A. Corsini, S. Franceschini, J. P. Iannacone |
| 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 Science ; 13, no. 8 ; Nr. 13, no. 8 (2013-08-06), S.1945-1958 |
| Datensatznummer |
250085491
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| Publikation (Nr.) |
 copernicus.org/nhess-13-1945-2013.pdf |
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| Zusammenfassung |
| We present a new method for the automatic classification of Persistent
Scatters Interferometry (PSI) time series based on a conditional sequence of
statistical tests. Time series are classified into distinctive predefined
target trends, such as uncorrelated, linear, quadratic, bilinear and
discontinuous, that describe different styles of ground deformation. Our
automatic analysis overcomes limits related to the visual classification of
PSI time series, which cannot be carried out systematically for large
datasets. The method has been tested with reference to landslides using PSI
datasets covering the northern Apennines of Italy. The clear distinction
between the relative frequency of uncorrelated, linear and non-linear time
series with respect to mean velocity distribution suggests that different
target trends are related to different physical processes that are likely to
control slope movements. The spatial distribution of classified time series
is also consistent with respect the known distribution of flat areas, slopes
and landslides in the tests area. Classified time series enhances the radar
interpretation of slope movements at the site scale, pointing out
significant advantages in comparison with the conventional analysis based
solely on the mean velocity. The test application also warns against
potentially misleading classification outputs in case of datasets affected
by systematic errors. Although the method was developed and tested to
investigate landslides, it should be also useful for the analysis of other
ground deformation processes such as subsidence, swelling/shrinkage of
soils, or uplifts due to deep injections in reservoirs. |
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