A method to obtain orange crop geometry information using a mobile terrestrial laser scanner and 3D modeling
Colaço, André F.
Trevisan, Rodrigo G.
Molin, José P.
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LiDAR (Light Detection and Ranging) technology has been used to obtain geometrical attributes of tree crops in small field plots, sometimes using manual steps in data processing. The objective of this study was to develop a method for estimating canopy volume and height based on a mobile terrestrial laser scanner suited for large commercial orange groves. A 2D LiDAR sensor and a GNSS (Global Navigation Satellite System) receiver were mounted on a vehicle for data acquisition. A georeferenced point cloud representing the laser beam impacts on the crop was created and later classified into transversal sections along the row or into individual trees. The convex-hull and the alpha-shape reconstruction algorithms were used to reproduce the shape of the tree crowns. Maps of canopy volume and height were generated for a 25 ha orange grove. The different options of data processing resulted in different values of canopy volume. The alpha-shape algorithm was considered a good option to represent individual trees whereas the convex-hull was better when representing transversal sections of the row. Nevertheless, the canopy volume and height maps produced by those two methods were similar. The proposed system is useful for site-specific management in orange groves.
Is part ofRemote Sensing, 2017, vol. 9, núm. 8, p. 763-784
European research projects
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Spatial variability in commercial orange groves. Part 2: relating canopy geometry to soil attributes and historical yield Colaço, André F.; Molin, José P.; Rosell Polo, Joan Ramon; Escolà i Agustí, Alexandre (Springer, 2018-10-16)Site-specific management strategies are usually dependant on the understanding of the underlying cause and effect relationships that occur at the within-field level. The assessment of canopy geometry of tree crops has been ...
Colaço, André F.; Molin, José P.; Rosell Polo, Joan Ramon; Escolà i Agustí, Alexandre (Springer, 2018-09-22)Characterizing crop spatial variability is crucial for estimating the opportunities for site-specific management practices. In the context of tree crops, ranging sensor technology has been developed to assess tree canopy ...
Colaço, André F.; Trevisan, Rodrigo G.; Molin, José P.; Rosell Polo, Joan Ramon; Escolà i Agustí, Alexandre (The Animal Consortium, 2017-07-16)LiDAR (Light detection and ranging) technology is an alternative to current manual methods of canopy geometry estimations in orange trees. The objective of this work was to compare different types of canopy volume estimations ...