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UAVSAR swaths over the San Andreas Fault

San Andreas Fault Deployment (L-band)

Oct 18–Jul 15, 2019


This deployment is open to flight request submissions through the SOFRS page. If you need any assistance, please contact us.

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California

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The San Andreas Fault Line in California is a tectonically active and landslide-prone region. The UAVSAR flights over the fault will study fault traces that have either been ruptured in earthquakes or are creeping continuously. Additionally, the flights will capture baseline data over this region to provide rapid earthquake response and hazard mitigation if an earthquake were to occur. UAVSAR is a powerful tool in this study as the frequency of the flights will provide great spatial detail on how changing environmental conditions result in changes in landslide motion. The data will allow scientists to study the distribution and mechanisms of shallow fault slips which will help scientists have better predictive power of potential earthquake rupture and afterslip.

Airports

  • Palmdale Regional Airport (Palmdale, USA)

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Flight Requests

Publications

  • Brian Hawkins, Thierry Michel, and Scott Hensley (2020). Residual Motion Estimation For Multi-Squint Airborne SAR. Geoscience and Remote Sensing (IGARSS), IEEE International Symposium.
    Abstract / Peer-reviewed

  • Handwerger, A.L., Booth, A.M., Huang, M. Fielding, E.J. (2021). Inferring the Subsurface Geometry and Strength of Slow-Moving Landslides Using 3-D Velocity Measurements From the NASA/JPL UAVSAR. J. Geophys. Res. Earth Surf. 126.
    Paper / Peer-reviewed

  • Handwerger, A.L., Booth, A.M., Huang, M. Fielding, E.J. (2021). Inferring the Subsurface Geometry and Strength of Slow-Moving Landslides Using 3-D Velocity Measurements From the NASA/JPL UAVSAR. Journal of Geophysical Research: Earth Surface 126.
    Paper / Peer-reviewed

  • Hu X., Burgmann R., Schulz W.H., and Fielding E.J. "Surface and subsurface dynamics of the Slumgullion landslide, CO from Sentinel-1 and UAVSAR radar images and in-situ observations," AGU Fall Meeting, San Francisco, USA, 2019
    Abstract

  • Hu, X. & Bürgmann, R. (2020). Rheology of a Debris Slide From the Joint Analysis of UAVSAR and LiDAR Data. Geophysical Research Letters 47.
    Paper / Peer-reviewed

  • Hu, X., Bergmann, R., Schulz, W.H. Fielding, E.J. (2020). Four-dimensional surface motions of the Slumgullion landslide and quantification of hydrometeorological forcing. Nature Communications 11
    Paper / Peer-reviewed

  • Hu, X., Bürgmann, R., Fielding, E., and Handwerger, A., “Explicit landslide characterization using high-resolution and multi-trajectory airborne UAVSAR data”, 23rd EGU General Assembly, Online, 2021.
    Abstract

  • Hu, X., Bürgmann, R., Fielding, E.J. & Lee, H. (2020). Internal kinematics of the Slumgullion landslide (USA) from high-resolution UAVSAR InSAR data. Remote Sensing of Environment 251, 112057.
    Paper / Peer-reviewed

  • Liao, T.-H., Kim, S.-B., Handwerger, A.L. & Fielding, E.J. (2021). Soil Moisture Retrieval Using L-Band SAR Over Landslide Regions in Northern California Grasslands. 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.
    Paper / Peer-reviewed

  • Molan, Y., and Lohman, R., "InSAR phase unwrapping using a pattern-based approach - A case study: Slumgullion landslide, Colorado," AGU Fall Meeting, New Orleans, USA, 2021
    Abstract

  • Park, S., Rysz, M., Fair, K.L. & Pardalos, P.M. (2021). Synthetic-Aperture Radar image based positioning in GPS-denied environments using Deep Cosine Similarity Neural Networks. Inverse Problems & Imaging 15, 763.
    Paper / Peer-reviewed

  • Parker, J., Donnellan, A. & Glasscoe, M. (2021). Survey of Transverse Range Fire Scars in 10 Years of UAVSAR Polarimetry. Earth and Space Science 8.
    Paper / Peer-reviewed

  • Provost, F., Michéa, D., Malet, J.-P., Boissier, E., Pointal, E., Stumpf, A., Pacini, F., Doin, M.-P., Lacroix, P., Proy, C. & Bally, P. (2022). Terrain deformation measurements from optical satellite imagery: The MPIC-OPT processing services for geohazards monitoring. Remote Sensing of Environment 274, 112949.
    Paper / Peer-reviewed

  • Richard Chen, Naiara Pinto, and Xueyang Duan (2020). Mapping Tree Canopy Cover and Canopy Height with l-band SAR Using Lidar Data and Random Forests. Geoscience and Remote Sensing (IGARSS), IEEE International Symposium.
    Abstract / Peer-reviewed

  • Wnuk, K., Zhou, W. & Gutierrez, M. (2021). Mapping Urban Excavation Induced Deformation in 3D via Multiplatform InSAR Time-Series. Remote Sensing 13, 4748.
    Paper / Peer-reviewed