Measurements of Forest Biomass Change Using P-Band Synthetic Aperture Radar Backscatter
Journal article, 2014

Methods to estimate forest biomass change have been investigated using experimental P-band synthetic aperture radar (SAR) data from the recent airborne campaigns BioSAR 2007 and BioSAR 2010 conducted over a hemiboreal test site in southern Sweden. Regression models based on backscatter change were developed using reference biomass change maps derived from high-density laser scanning data. Different regression models were developed for linear, square root, and logarithmic biomass change scales. The models were compared to the change maps based on laser data using twofold cross-validation, and estimation errors were evaluated using six 80 m by 80 m plots with detailed in situ measurements. The results indicate that the root-mean-square error of biomass change estimates based on P-band SAR backscatter data is about 15% or 20 t/ha. This suggests that not only clear-cuts but also growth and thinning can be measured. Simulations were performed in order to evaluate the possibility of using a space-borne P-band SAR for measurements of forest biomass change. The simulations show that, with 64 equivalent number of looks (ENL) and a 50% change in biomass, it is possible to correctly indicate whether the forest has gained or lost biomass. Similarly, for a biomass loss of more than 75%, a correct indication of the sign of biomass change can be achieved with only 8 ENL.

radar

UHF

P-band

Biomass

forestry

Author

Gustaf Sandberg

Chalmers, Earth and Space Sciences, Radar Remote Sensing

Lars Ulander

Chalmers, Earth and Space Sciences, Radar Remote Sensing

J. Wallerman

Swedish University of Agricultural Sciences (SLU)

J. E. S. Fransson

Swedish University of Agricultural Sciences (SLU)

IEEE Transactions on Geoscience and Remote Sensing

0196-2892 (ISSN)

Vol. 52 10 6047-6061

Subject Categories

Earth and Related Environmental Sciences

DOI

10.1109/tgrs.2013.2294684

More information

Latest update

4/11/2018