Felix Morsdorf

TL;DR: The accuracy of tree height, after removing gross errors, was better than 0.5 m in all tree height classes with the best methods investigated in this experiment, suggesting minimum curvature-based tree detection accompanied by point cloud-based cluster detection for suppressed trees is a solution that deserves attention in the future.

TL;DR: In this article, the authors evaluate the potential of deriving fractional cover (fCover) and leaf area index (LAI) from discrete return, small footprint airborne laser scanning (ALS) data.

TL;DR: In this paper, the structure of the upper canopy of a forest was derived by segmenting single trees from small footprint LIDAR data and deducing their geometric properties, and a robust linear regression of 917 tree height measurements yields a slope of 0.96 with an offset of 1 m and adjusted R 2 resulting at 0.92.

TL;DR: The results showed that the measured directional gap fraction distributions were similar for both hemispherical photography and TLS data with a high degree of precision in the area of overlap of orthogonal laser scans.

TL;DR: The potential of assessing functional diversity from space is demonstrated, providing a pathway only limited by technological advances and not by methodology, as remote sensing technology improves and it is now possible to map fine-scale variation in plant functional traits.