Paper Info
Title
Analysis Of Geosar Dual-Band Insar Data For Peruvian Forest
Abstract
At present there is no consensus as to which remote sensing technologies are appropriate for tropical forest biomass estimation. cloud cover in the tropics and biomass saturation suggest that a combination of low-frequency SAR and interferometry (either PolInSAR or dual-band interferometric SAR - DBInSAR) could provide a solution.Tropical forest biomass recovery using X-P DBInSAR has been demonstrated from an airborne platform using the X-P DEM height difference. This height is known to be considerably lower than the tree height as a result of penetration of microwaves into the canopy that can be significant even at X-band.We model the penetration using the RVOG model and show that in the strong attenuation approximation the interferometric coherence magnitude can be used to estimate penetration depth. We compare the model with GeoSAR DBInSAR observations of Peruvian forest, and, by comparison with LiDAR data, show that the GeoSAR X-band interferometric height can be corrected towards the upper canopy using knowledge of the coherence magnitude combined with the high-frequency "X-RVOG" model. We employ the corrected height with a biomass inversion equation derived from plot samples covered in the Peru campaign and generate a map of above ground forest biomass.
Year
DOI
Venue
2010
10.1109/IGARSS.2010.5651188
2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM
Keywords
Field
DocType
SAR, Interferometry, DBInSAR, Tropical, Forest, Biomass, REDD
Meteorology,Biomass,Interferometric synthetic aperture radar,Computer science,Synthetic aperture radar,Remote sensing,Interferometry,Tropical forest,Tropics,Cloud cover,Multi-band device
Conference
ISSN
Citations 
PageRank 
2153-6996
4
0.71
References 
Authors
3
9
Name
Order
Citations
PageRank
Mark L. Williams19511.53
Miles Silman241.39
Sassan Saatchi313320.95
Scott Hensley411316.25
Mark Sanford5142.46
Alina Yohannan640.71
Boris Kofman781.59
James Reis840.71
Bert Kampes9102.97