The importance of spatial detail: Assessing the utility of individual crown information and scaling approaches for lidar-based biomass density estimation

摘要: Abstract Lidar remote sensing has emerged as one of the best technologies for mapping aboveground biomass in forest systems. Recent developments lidar instruments, computer processing power, and algorithm development have enabled individual tree structure from sensing, yet utility metrics not been fully explored mapping. Conversely, scaling-based approaches using minimal data inputs recently presented an alternative method regional biomass. We compare these two emerging avenues lidar-based to plot-aggregated modeling techniques. assess three forested ecosystems: a mature, closed-canopy deciduous broadleaf forest; mature evergreen needleleaf Loblolly pine plantation with range even-aged stands. For based approaches, improve explanatory power R2 = 0.57 R2 = 0.85 conifer site, but do show statistically significant improvements other sites. suggest that large field sample plots areas open canopy cover, can significantly (AGBM) estimation they directly take into account stand density. Regarding we demonstrate proposed methods are currently unsuitable at local scales forests without tight relationship between top height basal area, seen our study areas. Individual information shows promise improving AGBM capabilities, may also facilitate further research regarding application allometric equations spatial scale models is necessary continue advancing high-resolution accounting.