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Accuracy of Kinematic Positioning Using Global Satellite Navigation Systems under Forest Canopies

机译:森林冠层下使用全球卫星导航系统进行运动定位的精度

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摘要

A harvester enables detailed roundwood data to be collected during harvesting operations by means of the measurement apparatus integrated into its felling head. These data can be used to improve the efficiency of wood procurement and also replace some of the field measurements, and thus provide both less costly and more detailed ground truth for remote sensing based forest inventories. However, the positional accuracy of harvester-collected tree data is not sufficient currently to match the accuracy per individual trees achieved with remote sensing data. The aim in the present study was to test the accuracy of various instruments utilizing global satellite navigation systems (GNSS) in motion under forest canopies of varying densities to enable us to get an understanding of the current state-of-the-art in GNSS-based positioning under forest canopies. Tests were conducted using several different combinations of GNSS and inertial measurement unit (IMU) mounted on an all-terrain vehicle (ATV) simulating a moving harvester. The positions of 224 trees along the driving route were measured using a total-station and real-time kinematic GPS. These trees were used as reference items. The position of the ATV was obtained using GNSS and IMU with an accuracy of 0.7 m (root mean squared error (RMSE) for 2D positions). For the single-frequency GNSS receivers, the RMSE of real-time 2D GNSS positions was 4.2-9.3 m. Based on these results, it seems that the accuracy of novel single-frequency GNSS devices is not so dependent on forest conditions, whereas the performance of the tested geodetic dual-frequency receiver is very sensitive to the visibility of the satellites. When post-processing can be applied, especially when combined with IMU data, the improvement in the accuracy of the dual-frequency receiver was significant.
机译:收割机通过集成在其砍伐头中的测量设备,可以在收割过程中收集详细的圆木数据。这些数据可以用来提高木材采购的效率,也可以代替一些实地测量,从而为基于遥感的森林资源清查提供成本更低,更详细的地面实况。但是,目前收割机收集的树木数据的位置精度不足以匹配使用遥感数据获得的每棵树木的精度。本研究的目的是测试各种密度不同的森林冠层下利用全球卫星导航系统(GNSS)进行运动的各种仪器的准确性,以使我们能够了解GNSS的最新技术。在林冠下的定位。使用GNSS和惯性测量单元(IMU)的几种不同组合进行了测试,该惯性测量单元安装在模拟移动收割机的全地形车(ATV)上。使用全站仪和实时运动GPS测量沿行驶路线的224棵树的位置。这些树用作参考项目。使用GNSS和IMU获得ATV的位置,其精度为0.7 m(2D位置的均方根误差(RMSE))。对于单频GNSS接收器,实时2D GNSS位置的RMSE为4.2-9.3 m。根据这些结果,似乎新型单频GNSS设备的精度并非如此取决于森林条件,而经过测试的大地测量双频接收机的性能对卫星的可见度非常敏感。当可以应用后处理时,尤其是与IMU数据结合使用时,双频接收机的精度有了显着提高。

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