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)

8617-8620
978-1-5386-7150-4 (ISBN)

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
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

More information

Latest update

3/21/2023