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Phenotyping Architecture Traits of Tree Species Using Remote Sensing Techniques  Public Access Limited Time

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

Citation:  Transactions of the ASABE. 64(5): 1611-1624. (doi: 10.13031/trans.14419) @2021
Authors:   Worasit Sangjan, Sindhuja Sankaran
Keywords:   Canopy volume, LiDAR system, Structure from motion, Tree height, UAV.


Tree canopy architecture traits are associated with its productivity and management.

Understanding these traits is important for both precision agriculture and phenomics applications.

Remote sensing platforms (satellite, UAV, etc.) and multiple approaches (SfM, LiDAR) have been used to assess these traits.

3D reconstruction of tree canopies allows the measurement of 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 tree architecture is becoming important for easier management of crops (e.g., pruning, thinning, chemical application, harvesting, etc.) while maintaining fruit quality and quantity. Similarly, in forest environments, architecture can influence the competitiveness and balance between tree species in the ecosystem. This article reviews the literature related to sensing approaches used for assessing architecture traits and the factors that influence such evaluation processes. Digital imagery integrated with structure from motion analysis and both terrestrial and aerial light detection and ranging (LiDAR) systems have been commonly used. In addition, satellite imagery and other techniques have been explored. Some of the major findings and some critical considerations for such measurement methods are summarized here.

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