Title :
Forest biomass estimation in New Zealand using full-polarisation SAR imagery
Author :
McNeill, S.J. ; Belliss, S.E.
Author_Institution :
Landcare Res. New Zealand, Lincoln, New Zealand
Abstract :
Synthetic aperture radar (SAR) has been proposed as a method for estimating above-ground biomass, and this paper describes a method to estimate biomass over flat or sloping terrain. A theoretical model is used to make a correction for the terrain slope, along with a second model to decompose the backscatter into canopy, trunk and understorey layers. The method is semi-analytical, since it uses field-based ground truth information to calibrate the model, yielding canopy and trunk contributions to the above-ground biomass, and a relative indication of biomass contribution due to surface scattering. Qualitative analysis shows that the results generally conform to the model, but that artifacts in the digital elevation model, and limitations of the three-layer model, cause some instability in the solution. Modifications to these steps are under investigation.
Keywords :
forestry; geophysical techniques; radar cross-sections; radar theory; remote sensing by radar; synthetic aperture radar; vegetation mapping; Kunzea ericoides; Leptospernum scoparium; New Zealand; SAR; biomass; canopy; forest; forestry; full-polarisation SAR imagery; geophysical measurement technique; kanuka; manuka; radar remote sensing; synthetic aperture radar; terrain slope correction; theoretical model; trunk; understorey; vegetation mapping; Backscatter; Biomass; Digital elevation models; Electromagnetic scattering; Electromagnetic wave polarization; Fuels; NASA; Radar scattering; Synthetic aperture radar; Testing;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Print_ISBN :
0-7803-7536-X
DOI :
10.1109/IGARSS.2002.1025781