05_UNCERTAINTY ANALYSIS OF AIRBORNE LIDAR DATA ACQUISITION IN GRAIN FIELD
UNCERTAINTY ANALYSIS OF AIRBORNE LIDAR
DATA ACQUISITION IN GRAIN FIELD
János Tamás ∗, Erika Buday-Bódi, Dávid Pásztor, Attila Nagy, Zsolt Zoltán Fehér
Institute of Water and Environmental Management, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, Hungary
∗ Correspondence: tamas@agr.unideb.hu
Abstract
In this paper, our aim to evaluate the measurement possibilities that lidar sensor provide for new opportunities in precision agriculture. Applied Aircraft DJI Matrice 300 was with the Zenmuse L1, where the Livox Avia uses a 905nm near infrared wavelength laser to measure distances and implemented a high-accuracy IMU, and a camera with a 1-inch CMOS on a 3-axis stabilized gimbal. When used with Matrice 300 RTK and DJI Terra, the L1 forms a complete solution that gives for users a real-time 3D data, efficiently capturing the details of complex structures and delivering highly accurate reconstructed field models. The relative altitude was set to 30 m, flight speed to 2 m/s, gimbal pitch to -90°, and each straight segment of the flight route was less than 1000 m. The originally urban indices are also useful results in the topological evaluation of agricultural biomass during precision agricultural technology developments. In LIDAR scanning, the vegetation target has a complex spatial structure, so it is important that the laser point cloud data should be representative of the plant morphology in field condition. This structure is typical for each plant and its developmental stages. In the case of our target was oats (Avena sativa L.).
The flight altitude increases, most of the error source increase as well (except for those associated with GPS) however, if increasing the flight altitude improves the size of the surveyed area. When planning a flight mission, the accuracy and precision parameters to be achieved based on the survey must be precisely optimized to ensure that the vegetation LIDAR metric is processed to provide.
Keywords: agriculture, UAV, LIDAR, photogrammetry