High-resolution landscape-scale biomass mapping using a spatiotemporal patchwork of LiDAR coverages. (arXiv:2205.08530v1 [stat.AP] CROSS LISTED)

Estimating forest aboveground biomass at fine spatial scales has become
increasingly important for greenhouse gas estimation, monitoring, and
verification efforts to mitigate climate change. Airborne LiDAR continues to be
a valuable source of remote sensing data for estimating aboveground biomass.
However airborne LiDAR collections may take place at local or regional scales
covering irregular, non-contiguous footprints, resulting in a 'patchwork' of
different landscape segments at different points in time. Here we addressed
common obstacles including selection of training data, the …

arxiv landscape lidar mapping scale