Utility of UAS-LIDAR for estimating forest structural attributes of the Miombo woodlands in Zambia.

ABSTRACT: The ability to collect precise three-dimensional (3D) forest structural information at a fraction of the cost of airborne light detection and ranging (lidar) makes uncrewed aerial systems-lidar (UAS-lidar) a remote sensing tool with high potential for estimating forest structural attributes for enhanced forest management. The estimation of forest structural data in area-based forest inventories relies on the relationship between field-based estimates of forest structural attributes (FSA) and lidar-derived metrics at plot level, which can be modeled using either parametric or non-parametric regression techniques. In this study, the performance of UAS-lidar metrics was assessed and applied to estimate four FSA (above ground biomass (AGB), basal area (BA), diameter at breast height (DBH), and

SUBMITTER: Shamaoma H 

PROVIDER: S-EPMC11896069 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature