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 M. H. 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

2019-07-08