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

Horizon Geoscience Consulting

University of Tasmania

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

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,

Ämneskategorier

Fjärranalysteknik

Geofysik

Sannolikhetsteori och statistik

DOI

10.1109/IGARSS.2018.8517614

ISBN

9781538671504

Mer information

Senast uppdaterat

2019-11-01