Georeferenced LiDAR 3D vine plantation map generation.
Georeferenced LiDAR 3D vine plantation map generation.
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DOI：
10.3390/s110606237
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发表时间：
2011
期刊：
影响因子：
--
通讯作者：
Queraltó M
中科院分区：
文献类型：
--
作者：
Llorens J;Gil E;Llop J;Queraltó M
最近，人们广泛讨论了利用电子设备来表征树冠的问题。在这些设备中，激光雷达传感器似乎是最准确和精确的。利用激光雷达传感器在沿作物行行驶的拖拉机上阅读时获得的信息可以通过评估激光雷达返回的频率进行管理并转换为树冠密度图。本文描述了一种利用激光雷达获取的信息与安装在拖拉机上的GPS接收器生成的信息相结合来获取地理参考冠层图的方法。通过应用所提出的变换过程，获得了关于激光雷达测量速度和冠层上每个测量点的UTM坐标的数据。该过程允许使用Google Earth®将生成的树冠密度图与预期测量区域的图像重叠，从而提供有关树冠分布和/或沿行损坏位置的准确信息。这一方法在西班牙两个重要的葡萄产区的不同葡萄品种和作物阶段进行了应用和测试。结果表明，利用激光雷达传感器获得的地理参考信息似乎是一种有趣的工具，具有改进作物管理过程的潜力。
The use of electronic devices for canopy characterization has recently been widely discussed. Among such devices, LiDAR sensors appear to be the most accurate and precise. Information obtained with LiDAR sensors during reading while driving a tractor along a crop row can be managed and transformed into canopy density maps by evaluating the frequency of LiDAR returns. This paper describes a proposed methodology to obtain a georeferenced canopy map by combining the information obtained with LiDAR with that generated using a GPS receiver installed on top of a tractor. Data regarding the velocity of LiDAR measurements and UTM coordinates of each measured point on the canopy were obtained by applying the proposed transformation process. The process allows overlap of the canopy density map generated with the image of the intended measured area using Google Earth®, providing accurate information about the canopy distribution and/or location of damage along the rows. This methodology was applied and tested on different vine varieties and crop stages in two important vine production areas in Spain. The results indicate that the georeferenced information obtained with LiDAR sensors appears to be an interesting tool with the potential to improve crop management processes.
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DOI：
10.1109/tim.2007.900126
发表时间：
2007-08-01
影响因子：
5.6
作者：
Palacin, Jordi;Palleja, Tomas;Rosell, Joan Ramon
通讯作者：
Rosell, Joan Ramon
影响因子：
4.4
作者：
Blenkinsopp, C. E.;Mole, M. A.;Peirson, W. L.
通讯作者：
Peirson, W. L.
影响因子：
2.8
作者：
Llorens, J.;Gil, E.;Escola, A.
通讯作者：
Escola, A.
影响因子：
6.2
作者：
Rosell, Joan R.;Llorens, Jordi;Palacin, Jordi
通讯作者：
Palacin, Jordi
影响因子：
5.1
作者：
Polo, Joan Ramon Rosell;Sanz, Ricardo;Palacin, Jordi
通讯作者：
Palacin, Jordi