Phenotyping Architecture Traits of Tree Species Using Remote Sensing Techniques

Highlights Tree canopy architecture is a key trait associated with management and productivity for precision agriculture and phenomics applications. Remote sensing platforms (satellite, UAV, etc.) and multiple approaches (SfM, LiDAR) have been utilized to assess tree architectural traits. 3D reconstruction of tree canopy allows measurement of traits such as tree height, crown area, and canopy volume. ABSTRACT. Tree canopy architecture is associated with light use efficiency and, thus, productivity. Given the modern training systems in orchard tree fruit systems, modification of the tree architecture is becoming important for easier management of crops (e.g., pruning, thinning, chemical application, harvesting, etc.) while maintaining the fruit quality and quantity. Similarly, in a forest environment, architecture can influence competitiveness and balance between tree species within the ecosystem. This paper aims to review the literature related to assessing architectural traits and factors influencing processes of evaluation. The digital imagery integrated with structure from motion analysis and both terrestrial and aerial light detection and ranging (LiDAR) systems have been commonly utilized. In addition, satellite imagery and other techniques have also been explored. The paper summarizes some of the major findings and some critical considerations during such measurements.