Paper Info
Title
Model-Based Estimation of Tropical Forest Biomass from Notch-Filtered P-Band Sar Backscatter.
Abstract
This paper presents a new algorithm for forest biomass estimation from P-band synthetic-aperture radar (SAR) backscatter data, notch-filtered at ground-level. A semi-empirical model is fitted to spatial and polarization trends in the backscatter data and no reference biomass data are needed for training. An evaluation on airborne P-band SAR data from a tropical test site in Gabon results in a root-mean-square error lower than 20% and a correlation better than 90%.
Year
Venue
Field
2018
IGARSS
Radar,Biomass,Computer science,Synthetic aperture radar,Remote sensing,Backscatter,Tropical forest,Test site
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Maciej J. Soja18216.18
Mauro Mariotti d'Alessandro2215.68
Shaun Quegan313423.25
Stefano Tebaldini433844.90
Lars M. H. Ulander525043.51