MODEL-BASED ESTIMATION OF TROPICAL FOREST BIOMASS FROM NOTCH FILTERED P-BAND SAR BACKSCATTER
Paper i 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%.
Författare
Maciej J. Soja
University of Tasmania
Horizon Geoscience Consulting
Mauro M. d'Alessandro
Politecnico di Milano
Shaun Quegan
University of Sheffield
Stefano Tebaldini
Politecnico di Milano
Lars Ulander
Chalmers, Rymd-, geo- och miljövetenskap, Mikrovågs- och optisk fjärranalys
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.
Ämneskategorier
Fjärranalysteknik
Geofysik
Sannolikhetsteori och statistik
DOI
10.1109/IGARSS.2018.8517614