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Article

An Empirical Assessment of Temporal Decorrelation Using the Uninhabited Aerial Vehicle Synthetic Aperture Radar over Forested Landscapes

1
Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Dr., Pasadena, CA 91109, USA
2
Department of Geography, University of Maryland, College Park, MD 20742, USA
*
Author to whom correspondence should be addressed.
Remote Sens. 2012, 4(4), 975-986; https://doi.org/10.3390/rs4040975
Received: 13 February 2012 / Revised: 28 March 2012 / Accepted: 28 March 2012 / Published: 2 April 2012
We present an empirical assessment of the impact of temporal decorrelation on interferometric coherence measured over a forested landscape. A series of repeat-pass interferometric radar images with a zero spatial baseline were collected with UAVSAR (Uninhabited Aerial Vehicle Synthetic Aperture Radar), a fully polarimetric airborne L-band radar system. The dataset provided temporal separations of 45 minutes, 2, 7 and 9 days. Coincident airborne lidar and weather data were collected. We theoretically demonstrate that UAVSAR measurement accuracy enables accurate quantification of temporal decorrelation. Data analysis revealed precipitation events to be the main driver of temporal decorrelation over the acquisition period. The experiment also shows temporal decorrelation increases with canopy height, and this pattern was found consistent across forest types and polarization. View Full-Text
Keywords: radar; forest; height; interferometry; temporal decorrelation; repeat-pass; PolinSAR radar; forest; height; interferometry; temporal decorrelation; repeat-pass; PolinSAR
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MDPI and ACS Style

Simard, M.; Hensley, S.; Lavalle, M.; Dubayah, R.; Pinto, N.; Hofton, M. An Empirical Assessment of Temporal Decorrelation Using the Uninhabited Aerial Vehicle Synthetic Aperture Radar over Forested Landscapes. Remote Sens. 2012, 4, 975-986. https://doi.org/10.3390/rs4040975

AMA Style

Simard M, Hensley S, Lavalle M, Dubayah R, Pinto N, Hofton M. An Empirical Assessment of Temporal Decorrelation Using the Uninhabited Aerial Vehicle Synthetic Aperture Radar over Forested Landscapes. Remote Sensing. 2012; 4(4):975-986. https://doi.org/10.3390/rs4040975

Chicago/Turabian Style

Simard, Marc, Scott Hensley, Marco Lavalle, Ralph Dubayah, Naiara Pinto, and Michelle Hofton. 2012. "An Empirical Assessment of Temporal Decorrelation Using the Uninhabited Aerial Vehicle Synthetic Aperture Radar over Forested Landscapes" Remote Sensing 4, no. 4: 975-986. https://doi.org/10.3390/rs4040975

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