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Título:
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Georeferenced Scanning System to Estimate the Leaf Wall Area in Tree Crops
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Autor/a:
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Moral Martínez, Ignacio del; Rosell Polo, Joan Ramon; Arnó Satorra, Jaume; Escolà i Agustí, Alexandre; Sanz Cortiella, Ricardo; Masip Vilalta, Joan; Company Mesa, Joaquim
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Notas:
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This paper presents the use of a terrestrial light detection and ranging (LiDAR) system to scan the vegetation of tree crops to estimate the so-called pixelated leaf wall area (PLWA). Scanning rows laterally and considering only the half-canopy vegetation to the line of the trunks, PLWA refers to the vertical projected area without gaps detected by LiDAR. As defined, PLWA may be different depending on the side from which the LiDAR is applied. The system is completed by a real-time kinematic global positioning system (RTK-GPS) sensor and an inertial measurement unit (IMU) sensor for positioning. At the end, a total leaf wall area (LWA) is computed and assigned to the X, Y position of each vertical scan. The final value of the area depends on the distance between two consecutive scans (or horizontal resolution), as well as the number of intercepted points within each scan, since PLWA is only computed when the laser beam detects vegetation. To verify system performance, tests were conducted related to the georeferencing task and synchronization problems between GPS time and central processing unit (CPU) time. Despite this, the overall accuracy of the system is generally acceptable. The Leaf Area Index (LAI) can then be estimated using PLWA as an explanatory variable in appropriate linear regression models.
This work was funded by the Spanish Ministry of Economy and Competitiveness and by the European Union through its FEDER funds; it is a part of the Optidosa (AGL2007-66093-C04-03), Safespray (AGL2010-22304-C04-03) and Agvance (AGL2013-48297-C2-2-R) research projects. |
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Materia(s):
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-Pixelated leaf wall area (PLWA)
-RTK-GPS georeferencing
-Tree crops |
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Derechos:
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cc-by (c) Moral Martínez, Ignacio del et al; 2015
http://creativecommons.org/licenses/by/3.0/es/
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Tipo de documento:
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article
publishedVersion |
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Editor:
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MDPI
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Compartir:
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