Paper Info
Title
Temporal Decorrelation Studies for Vegetation Parameter Estimation with Space-Borne Radars
Abstract
The SAR/InSAR component of the NASA DesdynI mission for measuring vertical vegetation structure from space consists of four possible approaches. These include the use of radar backscatter to estimate biomass, to employ PolInSAR relative phase for measuring the vertical extent, the use of interferometric phase and a ground reference, or the use of interferometric correlation magnitude alone. Temporal decorrelation is a significant contributor to decorrelation of interferometric echoes and is not always separable from volumetric decorrelation hence contributing to uncertainties in vegetation parameter estimates obtained using just correlation magnitude. In this text we analyze data that is close to the best case scenario for isolating temporal decorrelation. With almost zero baseline and a repeat pass of one day, SIR-C data over the eastern US serves as our case study of temporal decorrelation.
Year
DOI
Venue
2008
10.1109/IGARSS.2008.4779033
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Keywords
Field
DocType
backscatter,radar interferometry,remote sensing,spaceborne radar,synthetic aperture radar,topography (Earth),vegetation,InSAR,NASA Desdynl mission,PolInSAR,biomass estimation,interferometric synthetic aperture radar,land cover,radar backscatter,rain,spaceborne radar,synthetic aperture radar,temporal decorrelation,topographic map,vegetation parameter estimation,vegetation structure,wind,3-D vegetation structure,InSAR,Temporal decorrelation
Magnitude (mathematics),Vegetation,Interferometric synthetic aperture radar,Decorrelation,Computer science,Synthetic aperture radar,Remote sensing,Backscatter,Estimation theory,Probability density function,Geodesy
Conference
Volume
ISBN
Citations 
2
978-1-4244-2808-3
0
PageRank 
References 
Authors
0.34
2
4
Name
Order
Citations
PageRank
Ahmed, R.100.34
Paul Siqueira212829.52
Scott Hensley311316.25
Chapman, B.441.24