Mobile terrestrial laser scanner applications in precision fruticulture/horticulture and tools to extract information from canopy point clouds
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- 作者：Alexandre Escolà ; José A. Martínez-Casasnovas ; Josep Rufat…
- 关键词：LiDAR ; Canopy modelling ; Crop mapping ; Olive orchard ; Mobile terrestrial laser scanner ; Precision fruticulture
- 刊名：Precision Agriculture
- 出版年：2017
- 出版时间：February 2017
- 年：2017
- 卷：18
- 期：1
- 页码：111-132
- 全文大小：
- 刊物类别：Earth and Environmental Science
- 刊物主题：Agriculture; Soil Science & Conservation; Remote Sensing/Photogrammetry; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Atmospheric Sciences;
- 出版者：Springer US
- ISSN：1573-1618
- 卷排序：18
文摘
LiDAR sensors are widely used in many areas and, in recent years, that includes agricultural tasks. In this work, a self-developed mobile terrestrial laser scanner based on a 2D light detection and ranging (LiDAR) sensor was used to scan an intensive olive orchard, and different algorithms were developed to estimate canopy volume. Canopy volume estimations derived from LiDAR sensor readings were compared to conventional estimations used in fruticulture/horticulture research and the results prove that they are equivalent with coefficients of correlation ranging from r = 0.56 to r = 0.82 depending on the algorithms used. Additionally, tools related to analysis of point cloud data from the LiDAR-based system are proposed to extract further geometrical and structural information from tree row crop canopies to be offered to farmers and technical advisors as digital raster maps. Having high spatial resolution information on canopy geometry (i.e., height, width and volume) and on canopy structure (i.e., light penetrability, leafiness and porosity) may result in better orchard management decisions. Easily obtainable, reliable information on canopy geometry and structure may favour the development of decision support systems either for irrigation, fertilization or canopy management, as well as for variable rate application of agricultural inputs in the framework of precision fruticulture/horticulture.