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,

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

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Senast uppdaterat

2024-07-12