Georeferenced LiDAR 3D Vine Plantation Map Generation

Sensors

Jordi Llorens²  Emilio Gil¹  Jordi Llop² 

[1] Department of Agri Food Engineering and Biotechnology, Universitat Politècnica de Catalunya Campus del Baix Llobregat, Edifici D4, Esteve Terradas, 8 08860- Castelldefels, Spain;

关键词: LiDAR;    canopy density;    vineyard;    GPS;    UTM coordinates;   

DOI  :  10.3390/s110606237

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2011 by the authors; licensee MDPI, Basel, Switzerland.