MODEL-BASED ESTIMATION OF TROPICAL FOREST BIOMASS FROM NOTCH FILTERED P-BAND SAR BACKSCATTER
Paper in proceeding, 2018
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%.
Author
Maciej J. Soja
University of Tasmania
Horizon Geoscience Consulting
Mauro M. d'Alessandro
Polytechnic University of Milan
Shaun Quegan
University of Sheffield
Stefano Tebaldini
Polytechnic University of Milan
Lars Ulander
Chalmers, Space, Earth and Environment, Microwave and Optical Remote Sensing
International Geoscience and Remote Sensing Symposium (IGARSS)
Vol. 2018-July 8617-8620
978-1-5386-7150-4 (ISBN)
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
Valencia, Spain,
Valencia, Spain,
BIOMASS level 2 implementation study
European Space Research and Technology Centre (ESA ESTEC) (4000119231/167/NL/CT), 2017-02-01 -- 2020-01-31.
Subject Categories
Remote Sensing
Geophysics
Probability Theory and Statistics
DOI
10.1109/IGARSS.2018.8517614