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Remote Sens. 2010, 2(4), 939-956; doi:10.3390/rs2040939
Article

Eucalyptus Biomass and Volume Estimation Using Interferometric and Polarimetric SAR Data

* ,
 and
National Institute for Space Research-INPE, Av. dos Astronautas, 1758, P.O. BOX 515, 12227-010 São José dos Campos, SP, Brazil
* Author to whom correspondence should be addressed.
Received: 21 December 2009 / Revised: 22 March 2010 / Accepted: 23 March 2010 / Published: 31 March 2010
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Abstract

This work aims to establish a relationship between volume and biomass with interferometric and radiometric SAR (Synthetic Aperture Radar) response from planted Eucalyptus saligna forest stands, using multi-variable regression techniques. X and P band SAR images from the airborne OrbiSAR-1 sensor, were acquired at the study area in the southeast region of Brazil. The interferometric height (Hint = difference between interferometric digital elevation model in X and P bands), contributed to the models developed due to fact that Eucalyptus forest is composed of individuals whose structure is predominantly cylindrical and vertically oriented, and whose tree heights have great correlation with volume and biomass. The volume model showed that the stand volume was highly correlated with the interferometric height logarithm (Log10Hint), since Eucalyptus tree volume has a linear relationship with the vegetation height. The biomass model showed that the combination of both Hint2 and Canopy Scattering Index—CSI (relation of s°VV by the sum of s°VV and s°HH, which represents to the canopy interaction) were used in this model, due to the fact that the Eucalyptus biomass and the trees height relationship is not linear. Both models showed a prediction error of around 10% to estimate the Eucalyptus biomass and volume, which represents a great potential to use this kind of technology to help establish Eucalyptus forest inventory for large areas.
Keywords: radar remote sensing; SAR; eucalyptus stands; volume; biomass; forest inventory radar remote sensing; SAR; eucalyptus stands; volume; biomass; forest inventory
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Gama, F.F.; Dos Santos, J.R.; Mura, J.C. Eucalyptus Biomass and Volume Estimation Using Interferometric and Polarimetric SAR Data. Remote Sens. 2010, 2, 939-956.

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