Spatiotemporal Patterns of Precipitation-Modulated Landslide Deformation From Independent Component Analysis of InSAR Time Series
Abstract
We present that 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. Lastly, high-resolution characterization of landslide response to precipitation is a first step toward improved hazard forecasting.
- Authors:
-
[1];
[2];
[3];
[4];
[4]
- Univ. of California, Berkeley, CA (United States). Department of Civil and Environmental Engineering
- Univ. of California, Berkeley, CA (United States). Berkeley Seismology Laboratory and Department of Earth and Planetary Science
- State University of New York at Buffalo, NY (United States). Department of Geology
- TRE ALTAMIRA, Milan (Italy)
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1479390
- Alternate Identifier(s):
- OSTI ID: 1422634
- Grant/Contract Number:
- AC02-05CH11231
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Geophysical Research Letters
- Additional Journal Information:
- Journal Volume: 45; Journal Issue: 4; Journal ID: ISSN 0094-8276
- Publisher:
- American Geophysical Union
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; 58 GEOSCIENCES; landslide; InSAR; ICA; precipitation; deformation; triggering processes
Citation Formats
Cohen-Waeber, J., Bürgmann, R., Chaussard, E., Giannico, C., and Ferretti, A. Spatiotemporal Patterns of Precipitation-Modulated Landslide Deformation From Independent Component Analysis of InSAR Time Series. United States: N. p., 2018.
Web. doi:10.1002/2017GL075950.
Cohen-Waeber, J., Bürgmann, R., Chaussard, E., Giannico, C., & Ferretti, A. Spatiotemporal Patterns of Precipitation-Modulated Landslide Deformation From Independent Component Analysis of InSAR Time Series. United States. https://doi.org/10.1002/2017GL075950
Cohen-Waeber, J., Bürgmann, R., Chaussard, E., Giannico, C., and Ferretti, A. Mon .
"Spatiotemporal Patterns of Precipitation-Modulated Landslide Deformation From Independent Component Analysis of InSAR Time Series". United States. https://doi.org/10.1002/2017GL075950. https://www.osti.gov/servlets/purl/1479390.
@article{osti_1479390,
title = {Spatiotemporal Patterns of Precipitation-Modulated Landslide Deformation From Independent Component Analysis of InSAR Time Series},
author = {Cohen-Waeber, J. and Bürgmann, R. and Chaussard, E. and Giannico, C. and Ferretti, A.},
abstractNote = {We present that 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. Lastly, high-resolution characterization of landslide response to precipitation is a first step toward improved hazard forecasting.},
doi = {10.1002/2017GL075950},
journal = {Geophysical Research Letters},
number = 4,
volume = 45,
place = {United States},
year = {Mon Feb 12 00:00:00 EST 2018},
month = {Mon Feb 12 00:00:00 EST 2018}
}
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Figures / Tables:
Figure 1: TerraSAR-X mean line-of sight range-change velocity map of the East Bay Hills area obtained from the SqueeSAR ™ analysis, showing motion relative to the reference point (Ref). The positive values (blue colors) show motion toward the satellite (i.e., uplift or eastward movement), and the negative values (red colors)more »
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Mobility, Thickness, and Hydraulic Diffusivity of the Slow‐Moving Monroe Landslide in California Revealed by L‐Band Satellite Radar Interferometry
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