Paper Info
Title
The relation between the order parameter of K-distribution in high-resolution polarimetric SAR data and forest biomass
Abstract
The results of searching statistical parameters that describe the relation between high-resolution SAR images and forest parameters are presented. The results are based on the non-Gaussian texture analysis of the high-resolution polarimetric airborne Pi-SAR L-band data acquired in November 2002 over the Tomakomai coniferous forests in Hokkaido, Japan. The RCS (radar cross section) is first estimated as a function of tree biomass. The image amplitudes distributions are then analyzed, and among Rayleigh, log-normal, Weibull and K-distributions, the K-distribution is found to fit best to the data of all polarizations, although the Weibull distribution fits equally well. Further, there is a strong correlation between the tree biomass and the order parameter of the K-distribution in the cross-polarization images. A remarkable feature of this result is that the order parameter increases with biomass to approximately 100 tons/ha which is well beyond the saturation limits of the RCS (approximately 40 tons/ha for L-hand RCS.). It is concluded that the order parameter of the K-distribution is a powerful parameter to estimate the forest biomass in a much wider range than the conventional RCS method.
Year
DOI
Venue
2005
10.1109/IGARSS.2005.1525879
IGARSS
Keywords
Field
DocType
biomass,parameter estimation,radar cross section,weibull distribution,ecosystems,high resolution,frequency,spatial resolution,polarization,image analysis,l band,statistical distributions,cross polarization
Biomass,L band,K-distribution,Computer science,Remote sensing,Polarization (waves),Probability distribution,Estimation theory,Image resolution,Radar cross-section
Conference
Volume
ISSN
ISBN
6
2153-6996
0-7803-9050-4
Citations 
PageRank 
References 
2
0.48
7
Authors
2
Name
Order
Citations
PageRank
Haipeng Wang161.97
Kazuo Ouchi211215.71