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Impact of spatial variability of tropical forest structure on radar estimation of aboveground biomass

Abstract Understanding the spatial variability of tropical forest structure and its impact on the radar estimation of aboveground biomass (AGB) is important to assess the scale and accuracy of mapping AGB with future low frequency radar missions. We used forest inventory plots in old growth, secondary succession, and forest plantations at the La Selva Biological Station in Costa Rica to examine the spatial variability of AGB and its impact on the L-band and P-band polarimetric radar estimation of AGB at multiple spatial scales. Field estimation of AGB was determined from tree size measurements and an allometric equation developed for tropical wet forests. The field data showed very high spatial variability of forest structure with no spatial dependence at a scale above 11 m in old-growth forest. Plot sizes of greater than 0.25 ha reduced the coefficients of variation in AGB to below 20% and yielded a stationary and normal distribution of AGB over the landscape. Radar backscatter measurements at all polarization channels were strongly positively correlated with AGB at three scales of 0.25 ha, 0.5 ha, and 1.0 ha. Among these measurements, PHV and LHV showed strong sensitivity to AGB
- Iowa State University United States
- Iowa State University United States
- Jet Propulsion Lab United States
- University of Chicago United States
- University of Connecticut United States
tropical forests, Costa Rica, FoR 0404 (Geophysics), biomass, carbon, La Selva Biological Station, 333, DESDynl, FoR 0406 (Physical Geography and Environmental Geoscience), FoR 0909 (Geomatic Engineering), lidar, radar, forest structure
tropical forests, Costa Rica, FoR 0404 (Geophysics), biomass, carbon, La Selva Biological Station, 333, DESDynl, FoR 0406 (Physical Geography and Environmental Geoscience), FoR 0909 (Geomatic Engineering), lidar, radar, forest structure
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