Article ID Journal Published Year Pages File Type
743594 Optics and Lasers in Engineering 2014 7 Pages PDF
Abstract

•Non-contact and field applicable 3D dense vegetation canopy structure acquisition.•Ability of easy-registration with other information like vegetation spectra.•Calibration approach for flying point scanning triangulation based 3D measurement.•Discussion about the possible error sources and their effect on the proposed system.

Three-dimensional vegetation canopy structure is the critical original data source for the evaluation of radiation transfer modeling, remote sensing products validation and many other remote sensing applications. Although a number of three-dimensional measurement techniques have been already used in industrial measurement, few of them can be directly applied to vegetation canopy structure measurement because of the insufficient ability of non-contact and field measurement, as well as the possibility of matching with other information like vegetation spectra. In this paper, a non-contact laser scanning based three-dimensional measurement system is proposed to acquire the structure of the vegetation canopy, which is based on the flying point scanning triangulation. It gives a way of obtaining dense canopy structure data in-situ without neither contacting nor sticking the targets on the vegetation. The system principle, modeling and novel calibration approach, which directly calibrates the equation of the incident laser beam and other key techniques related to the system implementation are presented and discussed in detail. The system's measurement ability is demonstrated by acquiring different shaped leaves. The scanning point separation and the accuracy of three-dimensional points are 3–5 mm and 1 mm respectively. The points can then be used to calculate the geometric descriptive parameters of the canopy including plant area, leaf overlap, leaf area index, and gap fraction. It can also be used to establish highly detailed three-dimensional digital model of the vegetation canopy.

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Physical Sciences and Engineering Engineering Electrical and Electronic Engineering
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