MODEL-BASED ESTIMATION OF TROPICAL FOREST BIOMASS FROM NOTCH FILTERED P-BAND SAR BACKSCATTER
Paper in proceedings, 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

Horizon Geoscience Consulting

University of Tasmania

Mauro M. d'Alessandro

Polytechnic University of Milan

Shaun Quegan

University of Sheffield

Stefano Tebaldini

Polytechnic University of Milan

Lars M. H. Ulander

Chalmers, Space, Earth and Environment, Microwave and Optical Remote Sensing

IEEE International Symposium on Geoscience and Remote Sensing IGARSS

2153-6996 (ISSN)

8617-8620

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
Valencia, Spain,

Subject Categories

Remote Sensing

Geophysics

Probability Theory and Statistics

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