LiDAR based porosity and LAI: can we use lidar scanning on one side only?
Abstract
Characterisation of the vineyard is a prerequisite for any precision farming approach in which the aim is to adapt cultivation operations to the characteristics of the environment and production objectives. Examples include crop protection by spraying, fertilisation, irrigation, and crop management in terms of quality and quantity. The need for regular phenotyping and in particular physical phenotyping of the crop is emerging as a necessity to further precision viticulture. From this perspective, the total leaf area (TLA, LAI when normalised by ground area) is a major candidate descriptor for site-specific management. Cheraiet et al. (2020 developed a method for automatically calculating the height of vines, their thickness and their apparent porosity as seen from the inter-row from 3D point clouds provided by a mobile 2D LiDAR sensor. Using this work as a foundation, the aim of our research is to develop generic multivariate regression models for predicting TLA from the analysis of the 3D point cloud, throughout the cropping season. The present contribution is a first step in this direction by working on the relation between LiDAR based estimation of the optical porosity of a stratum of vegetation and TLA.
Domains
Environmental Sciences| Origin | Files produced by the author(s) |
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