Cățeanu Mihnea, Moroianu Maria Alexandra
Department of Forest Engineering, Forest Management Planning and Terrestrial Measurements, Faculty of Silviculture and Forest Engineering, Transilvania University of Brașov, Șirul Ludwig van Beethoven 1, 500123 Brașov, Romania.
Sensors (Basel). 2024 Oct 2;24(19):6404. doi: 10.3390/s24196404.
The Real-Time Kinematic (RTK) method is currently the most widely used method for positioning using Global Navigation Satellite Systems (GNSSs) due to its accuracy, efficiency and ease of use. In forestry, position is a critical factor for numerous applications, with GNSS currently being the preferred solution for obtaining such data. However, the decreased performance of GNSS observations in challenging environments, such as under the forest canopy, must be considered. This paper analyzes the performance of a survey-grade GNSS receiver under coniferous/deciduous tree cover. Unlike most previous research concerning this topic, the focus here is on employing a methodology that is as close as possible to real working conditions in the field of forestry. To achieve this, short observation times of 30 s were used, with corrections received directly in the field from a Continuously Operating Reference Station (CORS) of the national RTK network in Romania. In total, 84 test points were determined, randomly distributed under the canopy, with reference data collected by topographical surveys using total station equipment. In terms of the overall horizontal accuracy, an RMSE of 2.03 m and MAE of 1.63 m are found. Meanwhile, the overall vertical accuracy is lower, as expected, with an RMSE of 4.85 m and MAE of 4.01 m. The variation in GNSS performance under the different forest compositions was found to be statistically significant, while GNSS-specific factors such as DOP values only influenced the precision and not the accuracy of observations. We established that this methodology offers sufficient accuracy, which is application-dependent, even if the majority of GNSS solutions were code-based, rather than carrier-phase-based, due to strong interference from the vegetation.
实时动态(RTK)方法因其准确性、效率和易用性,目前是全球导航卫星系统(GNSS)定位中使用最广泛的方法。在林业中,位置是众多应用的关键因素,GNSS目前是获取此类数据的首选解决方案。然而,必须考虑在具有挑战性的环境(如森林冠层下)中GNSS观测性能的下降。本文分析了测量级GNSS接收机在针叶/落叶树覆盖下的性能。与以往大多数关于该主题的研究不同,这里的重点是采用一种尽可能接近林业领域实际工作条件的方法。为实现这一目标,使用了30秒的短观测时间,并直接在野外从罗马尼亚国家RTK网络的连续运行参考站(CORS)接收校正。总共确定了84个测试点,随机分布在树冠下,并使用全站仪设备通过地形测量收集参考数据。在整体水平精度方面,均方根误差(RMSE)为2.03米,平均绝对误差(MAE)为1.63米。同时,正如预期的那样,整体垂直精度较低,RMSE为4.85米,MAE为4.01米。发现不同森林组成下GNSS性能的变化具有统计学意义,而诸如DOP值等特定于GNSS的因素仅影响观测的精度而非准确性。我们确定,即使由于植被的强烈干扰,大多数GNSS解决方案基于码而非载波相位,但这种方法仍提供了足够的精度,其精度取决于应用。