Journal
REMOTE SENSING
Volume 4, Issue 4, Pages 975-986Publisher
MDPI
DOI: 10.3390/rs4040975
Keywords
radar; forest; height; interferometry; temporal decorrelation; repeat-pass; PolinSAR
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Funding
- University of Maryland, College Park
- NASA's Terrestrial Ecology Program [WBS 281945.02.61.01.69]
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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.
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