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Results of UAVSAR Airborne SAR Repeat-Pass Multi-Aperture Interferometry
No abstract available
Recent Advances on INSAR Temporal Decorrelation: Theory and Observations Using UAVSAR
We review our recent advances in understanding the role of temporal decorrelation in SAR interferometry and polarimetric SAR interferometry. We developed a physical model of temporal decorrelation based on Gaussian-statistic motion that varies along the vertical direction in forest canopies. Temporal decorrelation depends on structural parameters such as forest height, is sensitive to polarization and affects coherence amplitude and phase. A model of temporal-volume decorrelation valid for arbitrary spatial baseline is discussed. We tested the inversion of this model to estimate forest height from model simulations supported by JPL/UAVSAR data and lidar LVIS data. We found a general good agreement between forest height estimated from radar data and forest height estimated from lidar data.
Recent Advances on InSAR Temporal Decorrelation: Theory and Observations Using UAVSAR
No abstract available
Characterization of Shallow Slip Variability in California UAVSAR Repeat-Pass Interferograms
No abstract available
UAVSAR Observation of Multi-Temporal Multi-Fault Behavior Associated with the 2010 M7.2 El Mayor - Cucapah Earthquake
No abstract available
UAVSAR real-time embedded GPU processor
Synthetic aperture radar (SAR) can provide high-resolution imagery regardless of cloud cover or lighting conditions. These qualities make SAR potentially well-suited for informing response efforts to natural and man-made disasters, but such applications require data products with minimal latency. To meet this challenge, we implemented a real-time SAR processor capable of producing 10 m imagery using an NVIDIA Jetson TX2 embedded GPU module. With its low mass (87 g module) and power consumption under 8 W, the system also holds promise for spaceborne applications.
Improving UAVSAR Results with GPS, Radiometry, and QUAKES Topographic Imager
UNKNOWN