del-Moral-Martínez Ignacio, Rosell-Polo Joan R, Company Joaquim, Sanz Ricardo, Escolà Alexandre, Masip Joan, Martínez-Casasnovas José A, Arnó Jaume
Research Group on AgroICT & Precision Agriculture, Department of Agricultural and Forest Engineering, University of Lleida, Rovira Roure 191, Lleida 25198, Spain.
Research Group on AgroICT & Precision Agriculture, Agrotecnio Center, Rovira Roure 191, Lleida 25198, Spain.
Sensors (Basel). 2016 Jan 19;16(1):119. doi: 10.3390/s16010119.
The leaf area index (LAI) is defined as the one-side leaf area per unit ground area, and is probably the most widely used index to characterize grapevine vigor. However, LAI varies spatially within vineyard plots. Mapping and quantifying this variability is very important for improving management decisions and agricultural practices. In this study, a mobile terrestrial laser scanner (MTLS) was used to map the LAI of a vineyard, and then to examine how different scanning methods (on-the-go or discontinuous systematic sampling) may affect the reliability of the resulting raster maps. The use of the MTLS allows calculating the enveloping vegetative area of the canopy, which is the sum of the leaf wall areas for both sides of the row (excluding gaps) and the projected upper area. Obtaining the enveloping areas requires scanning from both sides one meter length section along the row at each systematic sampling point. By converting the enveloping areas into LAI values, a raster map of the latter can be obtained by spatial interpolation (kriging). However, the user can opt for scanning on-the-go in a continuous way and compute 1-m LAI values along the rows, or instead, perform the scanning at discontinuous systematic sampling within the plot. An analysis of correlation between maps indicated that MTLS can be used discontinuously in specific sampling sections separated by up to 15 m along the rows. This capability significantly reduces the amount of data to be acquired at field level, the data storage capacity and the processing power of computers.
叶面积指数(LAI)被定义为单位地面面积的单侧叶面积,它可能是用于表征葡萄树活力的最广泛使用的指标。然而,叶面积指数在葡萄园地块内存在空间变化。绘制并量化这种变异性对于改善管理决策和农业实践非常重要。在本研究中,使用了移动地面激光扫描仪(MTLS)来绘制葡萄园的叶面积指数,然后研究不同的扫描方法(行进中扫描或不连续系统采样)如何影响所得栅格地图的可靠性。使用移动地面激光扫描仪可以计算树冠的包围植被面积,即行两侧(不包括间隙)的叶墙面积与投影上部面积之和。要获得包围面积,需要在每个系统采样点沿行从两侧扫描一米长的区段。通过将包围面积转换为叶面积指数值,可以通过空间插值(克里金法)获得后者的栅格地图。然而,用户可以选择以连续方式行进中扫描并沿行计算1米的叶面积指数值,或者改为在地块内进行不连续系统采样扫描。地图之间的相关性分析表明,移动地面激光扫描仪可以在沿行间隔最多15米的特定采样区段中不连续使用。这种能力显著减少了在田间层面需要采集的数据量、数据存储容量和计算机的处理能力。