Phenotyping Architecture Traits of Tree Species Using Remote Sensing Techniques

Highlights Tree canopy architecture traits are associated with its productivity and management. Understanding these is important for both precision agriculture phenomics applications. Remote sensing platforms (satellite, UAV, etc.) multiple approaches (SfM, LiDAR) have been used to assess traits. 3D reconstruction of tree canopies allows the measurement height, crown area, volume. Abstract . light use efficiency thus productivity. Given modern training systems in orchard fruit systems, modification becoming easier management crops (e.g., pruning, thinning, chemical application, harvesting, while maintaining quality quantity. Similarly, forest environments, can influence competitiveness balance between species ecosystem. This article reviews literature related assessing factors that such evaluation processes. Digital imagery integrated structure from motion analysis terrestrial aerial detection ranging (LiDAR) commonly used. In addition, satellite other techniques explored. Some major findings some critical considerations methods summarized here. Keywords: Canopy volume, LiDAR system, Structure motion, UAV.