Organization
Jet Propulsion Laboratory
University of California, Los Angeles
Email
Business Address
Jet Propulsion Laboratory, Caltech
4800 Oak Grove Drive
M/S 300-323
Pasadena, CA 91109
United States
First Author Publications
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Handwerger, A., et al. (2022), Landslide Sensitivity and Response to Precipitation Changes in Wet and Dry Climates, Geophys. Res. Lett., 49, doi:https://doi.org/10.1029/2022GL099499.
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Handwerger, A., et al. (2021), Inferring the Subsurface Geometry and Strength of Slow-Moving Landslides Using 3-D Velocity Measurements From the NASA/JPL UAVSAR, J. Geophys. Res., doi:https://doi.org/10.1029/2020JF005898.
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Handwerger, A., et al. (2019), Widespread Initiation, Reactivation, and Acceleration of Landslides in the Northern California Coast Ranges due to Extreme Rainfall, J. Geophys. Res., 124, 1782-1797, doi:10.1029/2019JF005035.
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Handwerger, A., et al. (2019), A shift from drought to extreme rainfall drives a stable landslide to catastrophic failure, Scientific Reports, 9, 1569, doi:10.1038/s41598-018-38300-0.
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Handwerger, A., et al. (2019), A shift from drought to extreme rainfall drives a stable landslide to catastrophic failure, Scientific Reports, 9, 1569, doi:10.1038/s41598-018-38300-0.
Note: Only publications that have been uploaded to the ESD Publications database are listed here.
Co-Authored Publications
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Li, X., et al. (2024), Exploring the behaviors of initiated progressive failure and slow‐moving landslides in Los Angeles using satellite InSAR and pixel offset tracking, Geophys. Res. Lett., 51, e2024GL108267.
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Dille, A., et al. (2022), Acceleration of a large deep-seated tropical landslide due to urbanization feedbacks, Nature Geoscience, 15, 1048-1055, doi:10.1038/s41561-022-01073-3.
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Vinueza, U.A., et al. (2022), A new method to detect changes in displacement rates of slow‐moving landslides using InSAR time series, Landslides, doi:10.1007/s10346-022-01913-8.
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Dille, A., et al. (2021), When image correlation is needed: Unravelling the complex dynamics of a slow-moving landslide in the tropics with dense radar and optical time series, Remote Sensing of Environment, 258, 112402, doi:10.1016/j.rse.2021.112402.
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Finnegan, N.J., et al. (2021), Unsaturated Flow Processes and the Onset of Seasonal Deformation in Slow-Moving Landslides, J. Geophys. Res., 126, doi:https://doi.org/10.1029/2020JF005758.
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Liao, T., et al. (2021), High-Resolution Soil-Moisture Maps Over Landslide Regions in Northern California Grassland Derived From SAR Backscattering Coefficients, IEEE Journal Of Selected Topics In Applied Earth Observations And Remote Sensing, 14, 4547-4560, doi:10.1109/JSTARS.2021.3069010.
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Bekaert, D., et al. (2020), InSAR-based detection method for mapping and monitoring slow-moving landslides in remote regions with steep and mountainous terrain: An application to Nepal, Remote Sensing of Environment, 249, doi:https://doi.org/10.1016/j.rse.2020.111983.
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Lacroix, P., et al. (2020), Life and death of slow-moving landslides, Nature Reviews Earth & Environment, 1-16, doi:10.1038/s43017-020-0072-8.
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Finnegan, N.J., et al. (2019), River channel width controls blocking by slow-moving landslides in California’s Franciscan mélange, Earth Surf. Dynam., 7, 879-894, doi:10.5194/esurf-7-879-2019.
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Hu, X., et al. (2019), Mobility, Thickness, and Hydraulic Diffusivity of the Slow‐Moving Monroe Landslide in California Revealed by L‐Band Satellite Radar Interferometry, J. Geophys. Res., 124, 7504-7518, doi:10.1029/2019JB017560.
Note: Only publications that have been uploaded to the ESD Publications database are listed here.