Paper Info
Title
Biomass retrieval based on polarimetric target decomposition
Abstract
Former NASA's Deformation, Ecosystem Structure, and Dynamics of Ice (DESDynl) satellite mission was to provide regional or global biomass carbon stock at regional, national, and global scales. Carbon Monitoring System UAVSAR and LVIS data acquired in August 2009 were used in this paper. In this paper we used Cloude's target decomposition theorem to decompose traditional polarimetric SAR data, and then to estimate biomass. By certification of LVIS derived biomass, the results show that only decomposed scattering elements are not enough for biomass retrieval, but they could improve the accuracy of biomass retrieval. The standard error for only pol method is 66.3Mg/ha, but for both polametric and decomposed data is only 64. lMg/ha.
Year
DOI
Venue
2011
10.1109/IGARSS.2011.6049506
IGARSS
Keywords
Field
DocType
synthetic aperture radar,regional biomass carbon stock,biomass retrieval,deformation ecosystem structure and dynamics of ice satellite mission,polarimetric target decomposition,lvis data,biomass retrieval accuracy improvement,ad 2009 08,global biomass carbon stock,remote sensing by radar,lvis,geophysical signal processing,target decompositon,polarimetric sar data decomposition,cloude target decomposition theorem,uavsar,vegetation mapping,nasa desdyni satellite mission,spaceborne radar,carbon monitoring system,uavsar data,lvis derived biomass,radar polarimetry,indexing terms,accuracy,scattering,biomass,backscatter,standard error
Meteorology,Biomass,Satellite,Polarimetry,Monitoring system,Synthetic aperture radar,Computer science,Remote sensing,Backscatter,Decomposition theorem,Decomposition
Conference
Volume
Issue
ISSN
null
null
2153-6996
ISBN
Citations 
PageRank 
978-1-4577-1003-2
0
0.34
References 
Authors
1
6
Name
Order
Citations
PageRank
Zhiyu Zhang14113.64
Yong Wang200.34
Guoqing Sun316249.24
Wenjian Ni43213.56
Wenli Huang5305.75
Lixin Zhang615231.16