Three-dimensional characterization of grapevine canopy using UAV-SfM point clouds

Authors: Christina Woehrle*, Oklahoma State University
Topics: UAS / UAV, Remote Sensing, Wine
Keywords: unmanned aerial vehicle, UAV, structure from motion, SfM, remote sensing, precision viticulture, canopy modeling
Session Type: Poster
Day: 4/4/2019
Start / End Time: 9:55 AM / 11:35 AM
Room: Lincoln 2, Marriott, Exhibition Level
Presentation File: Download


Spatially uniform management in vineyards can be greatly improved upon, as spatial and temporal variation in health and fruit quality exists within the vineyard at a per-vine level. On demand, site specific monitoring of vineyards, utilizing cutting-edge geospatial technologies (e.g., remote sensing, spectral imagery, 3D models), can help vineyard managers monitor for health, pests, and diseases, improving vineyard management. Using an unmanned aerial vehicle (UAV) equipped with a digital camera, one can assess many aspects of the vine, including overall crop health by way of canopy assessment. The structure and density of the vine canopy can be evaluated using Structure from Motion (SfM). To add to existing literature and refine the geospatial methodologies adopted in precision viticulture, this paper will address two objectives: (1) create an optimal method of image collection for a high density point cloud in assessing vine canopy, including variations in altitude and angle of the image acquisition, and (2) assess the replicability of winegrape canopy structure and density estimations from SfM point clouds. Using Pix4d SfM software, a point cloud will be created using UAV collected images. Canopy density will be assessed from this point cloud. For objective 1, it is expected that a sound methodology for a UAV-based, high density point cloud will be established. For objective 2, a relationship is expected to exist between ceptometer measurements and the SfM, canopy density derived LAI estimations.

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