Structure-based forest biomass from fusion of radar and hyperspectral observations
Article first published online: 8 MAY 2003
Copyright 2003 by the American Geophysical Union.
Geophysical Research Letters
Volume 30, Issue 9, May 2003
How to Cite
2003), Structure-based forest biomass from fusion of radar and hyperspectral observations, Geophys. Res. Lett., 30, 1472, doi:10.1029/2002GL016857, 9., , and (
- Issue published online: 8 MAY 2003
- Article first published online: 8 MAY 2003
- Manuscript Accepted: 5 MAR 2003
- Manuscript Revised: 21 FEB 2003
- Manuscript Received: 30 DEC 2002
 Forest biomass was estimated from the remotely sensed profiles of leaf area density. Biomass estimated from forest structure profiles may be more accurate than that determined from microwave power or optical radiance measurements. Multialtitude, airborne, C-band, radar interferometry produced relative density profiles, which were normalized by leaf area indices from airborne hyperspectral optical imagery, yielding the forest canopy leaf area density for 11 structurally diverse stands in Central Oregon. Fits of field biomass measurements to model functions of remotely sensed leaf area density produced agreement between the field and remotely sensed biomasses at the level of 25 tons/ha, or 16% of the average stand biomass. The errors in the field and remote sensing observations indicated that this level of agreement was significant with greater than 99.5% confidence. These results suggest that further demonstrations may lead to a set of model functions that enable global, structure-based biomass remote sensing.