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Spatiotemporal Patterns of Precipitation‐Modulated Landslide Deformation From Independent Component Analysis of InSAR Time Series
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| Zeitschriftentitel: | Geophysical Research Letters |
|---|---|
| Personen und Körperschaften: | , , , , |
| In: | Geophysical Research Letters, 45, 2018, 4, S. 1878-1887 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
American Geophysical Union (AGU)
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| Schlagwörter: |
| author_facet |
Cohen‐Waeber, J. Bürgmann, R. Chaussard, E. Giannico, C. Ferretti, A. Cohen‐Waeber, J. Bürgmann, R. Chaussard, E. Giannico, C. Ferretti, A. |
|---|---|
| author |
Cohen‐Waeber, J. Bürgmann, R. Chaussard, E. Giannico, C. Ferretti, A. |
| spellingShingle |
Cohen‐Waeber, J. Bürgmann, R. Chaussard, E. Giannico, C. Ferretti, A. Geophysical Research Letters Spatiotemporal Patterns of Precipitation‐Modulated Landslide Deformation From Independent Component Analysis of InSAR Time Series General Earth and Planetary Sciences Geophysics |
| author_sort |
cohen‐waeber, j. |
| spelling |
Cohen‐Waeber, J. Bürgmann, R. Chaussard, E. Giannico, C. Ferretti, A. 0094-8276 1944-8007 American Geophysical Union (AGU) General Earth and Planetary Sciences Geophysics http://dx.doi.org/10.1002/2017gl075950 <jats:title>Abstract</jats:title><jats:p>Long‐term landslide deformation is disruptive and costly in urbanized environments. We rely on TerraSAR‐X satellite images (2009–2014) and an improved data processing algorithm (SqueeSAR™) to produce an exceptionally dense Interferometric Synthetic Aperture Radar ground deformation time series for the San Francisco East Bay Hills. Independent and principal component analyses of the time series reveal four distinct spatial and temporal surface deformation patterns in the area around Blakemont landslide, which we relate to different geomechanical processes. Two components of time‐dependent landslide deformation isolate continuous motion and motion driven by precipitation‐modulated pore pressure changes controlled by annual seasonal cycles and multiyear drought conditions. Two components capturing more widespread seasonal deformation separate precipitation‐modulated soil swelling from annual cycles that may be related to groundwater level changes and thermal expansion of buildings. High‐resolution characterization of landslide response to precipitation is a first step toward improved hazard forecasting.</jats:p> Spatiotemporal Patterns of Precipitation‐Modulated Landslide Deformation From Independent Component Analysis of InSAR Time Series Geophysical Research Letters |
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Spatiotemporal Patterns of Precipitation‐Modulated Landslide Deformation From Independent Component Analysis of InSAR Time Series |
| title_unstemmed |
Spatiotemporal Patterns of Precipitation‐Modulated Landslide Deformation From Independent Component Analysis of InSAR Time Series |
| title_full |
Spatiotemporal Patterns of Precipitation‐Modulated Landslide Deformation From Independent Component Analysis of InSAR Time Series |
| title_fullStr |
Spatiotemporal Patterns of Precipitation‐Modulated Landslide Deformation From Independent Component Analysis of InSAR Time Series |
| title_full_unstemmed |
Spatiotemporal Patterns of Precipitation‐Modulated Landslide Deformation From Independent Component Analysis of InSAR Time Series |
| title_short |
Spatiotemporal Patterns of Precipitation‐Modulated Landslide Deformation From Independent Component Analysis of InSAR Time Series |
| title_sort |
spatiotemporal patterns of precipitation‐modulated landslide deformation from independent component analysis of insar time series |
| topic |
General Earth and Planetary Sciences Geophysics |
| url |
http://dx.doi.org/10.1002/2017gl075950 |
| publishDate |
2018 |
| physical |
1878-1887 |
| description |
<jats:title>Abstract</jats:title><jats:p>Long‐term landslide deformation is disruptive and costly in urbanized environments. We rely on TerraSAR‐X satellite images (2009–2014) and an improved data processing algorithm (SqueeSAR™) to produce an exceptionally dense Interferometric Synthetic Aperture Radar ground deformation time series for the San Francisco East Bay Hills. Independent and principal component analyses of the time series reveal four distinct spatial and temporal surface deformation patterns in the area around Blakemont landslide, which we relate to different geomechanical processes. Two components of time‐dependent landslide deformation isolate continuous motion and motion driven by precipitation‐modulated pore pressure changes controlled by annual seasonal cycles and multiyear drought conditions. Two components capturing more widespread seasonal deformation separate precipitation‐modulated soil swelling from annual cycles that may be related to groundwater level changes and thermal expansion of buildings. High‐resolution characterization of landslide response to precipitation is a first step toward improved hazard forecasting.</jats:p> |
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| author | Cohen‐Waeber, J., Bürgmann, R., Chaussard, E., Giannico, C., Ferretti, A. |
| author_facet | Cohen‐Waeber, J., Bürgmann, R., Chaussard, E., Giannico, C., Ferretti, A., Cohen‐Waeber, J., Bürgmann, R., Chaussard, E., Giannico, C., Ferretti, A. |
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| description | <jats:title>Abstract</jats:title><jats:p>Long‐term landslide deformation is disruptive and costly in urbanized environments. We rely on TerraSAR‐X satellite images (2009–2014) and an improved data processing algorithm (SqueeSAR™) to produce an exceptionally dense Interferometric Synthetic Aperture Radar ground deformation time series for the San Francisco East Bay Hills. Independent and principal component analyses of the time series reveal four distinct spatial and temporal surface deformation patterns in the area around Blakemont landslide, which we relate to different geomechanical processes. Two components of time‐dependent landslide deformation isolate continuous motion and motion driven by precipitation‐modulated pore pressure changes controlled by annual seasonal cycles and multiyear drought conditions. Two components capturing more widespread seasonal deformation separate precipitation‐modulated soil swelling from annual cycles that may be related to groundwater level changes and thermal expansion of buildings. High‐resolution characterization of landslide response to precipitation is a first step toward improved hazard forecasting.</jats:p> |
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| imprint_str_mv | American Geophysical Union (AGU), 2018 |
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| physical | 1878-1887 |
| publishDate | 2018 |
| publishDateSort | 2018 |
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| recordtype | ai |
| series | Geophysical Research Letters |
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| spelling | Cohen‐Waeber, J. Bürgmann, R. Chaussard, E. Giannico, C. Ferretti, A. 0094-8276 1944-8007 American Geophysical Union (AGU) General Earth and Planetary Sciences Geophysics http://dx.doi.org/10.1002/2017gl075950 <jats:title>Abstract</jats:title><jats:p>Long‐term landslide deformation is disruptive and costly in urbanized environments. We rely on TerraSAR‐X satellite images (2009–2014) and an improved data processing algorithm (SqueeSAR™) to produce an exceptionally dense Interferometric Synthetic Aperture Radar ground deformation time series for the San Francisco East Bay Hills. Independent and principal component analyses of the time series reveal four distinct spatial and temporal surface deformation patterns in the area around Blakemont landslide, which we relate to different geomechanical processes. Two components of time‐dependent landslide deformation isolate continuous motion and motion driven by precipitation‐modulated pore pressure changes controlled by annual seasonal cycles and multiyear drought conditions. Two components capturing more widespread seasonal deformation separate precipitation‐modulated soil swelling from annual cycles that may be related to groundwater level changes and thermal expansion of buildings. High‐resolution characterization of landslide response to precipitation is a first step toward improved hazard forecasting.</jats:p> Spatiotemporal Patterns of Precipitation‐Modulated Landslide Deformation From Independent Component Analysis of InSAR Time Series Geophysical Research Letters |
| spellingShingle | Cohen‐Waeber, J., Bürgmann, R., Chaussard, E., Giannico, C., Ferretti, A., Geophysical Research Letters, Spatiotemporal Patterns of Precipitation‐Modulated Landslide Deformation From Independent Component Analysis of InSAR Time Series, General Earth and Planetary Sciences, Geophysics |
| title | Spatiotemporal Patterns of Precipitation‐Modulated Landslide Deformation From Independent Component Analysis of InSAR Time Series |
| title_full | Spatiotemporal Patterns of Precipitation‐Modulated Landslide Deformation From Independent Component Analysis of InSAR Time Series |
| title_fullStr | Spatiotemporal Patterns of Precipitation‐Modulated Landslide Deformation From Independent Component Analysis of InSAR Time Series |
| title_full_unstemmed | Spatiotemporal Patterns of Precipitation‐Modulated Landslide Deformation From Independent Component Analysis of InSAR Time Series |
| title_short | Spatiotemporal Patterns of Precipitation‐Modulated Landslide Deformation From Independent Component Analysis of InSAR Time Series |
| title_sort | spatiotemporal patterns of precipitation‐modulated landslide deformation from independent component analysis of insar time series |
| title_unstemmed | Spatiotemporal Patterns of Precipitation‐Modulated Landslide Deformation From Independent Component Analysis of InSAR Time Series |
| topic | General Earth and Planetary Sciences, Geophysics |
| url | http://dx.doi.org/10.1002/2017gl075950 |