Photogrammetric Vegetation Characterization for Non-Destructive Measurement
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Solution Overview
Problem
Current methods for in-situ vegetation characterization are time-consuming, labor-intensive, and prone to inaccuracies, particularly affecting the calibration and validation of remote sensing sensors, due to the need for extensive measurement campaigns that can damage the vegetation and require complex data processing.
Innovation Solution
A system and method for generating three-dimensional image information of vegetation using a detection device, turret device carrier, and evaluation device to determine parameters like LAI and biomass, allowing for non-destructive, automated characterization from multiple angles and positions, using plenoptic cameras and artificial lighting to ensure reproducible conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If extensive measurement campaigns are conducted to provide required in-situ data, then measurement precision is improved, but loss of time and personnel expenditure increase
Solution Approach 1:
The patent uses photogrammetry to create three-dimensional models of vegetation by capturing images from multiple positions. This digital copying approach replaces the need for extensive physical measurement campaigns, allowing precise vegetation characterization without requiring prolonged field work or personnel deployment.
Solution Approach 2:
The patent replaces manual mechanical measurement methods with automated photogrammetric processing. By using image-based 3D reconstruction algorithms, the system automatically extracts vegetation parameters without requiring manual intervention during measurement campaigns, thereby reducing time and personnel requirements.
2Measurement precision
If destructive methods are used to record stand parameters, then measurement precision is improved, but object-affected harmful factors increase
Solution Approach 1:
The patent creates three-dimensional digital copies of vegetation structures through photogrammetry. This allows precise measurement of stand parameters such as height, volume, and density without physically contacting or damaging the vegetation. The digital models enable repeated measurements without altering the plant material.
Solution Approach 2:
The patent introduces image data as an intermediary between the measurement system and the vegetation. By capturing images from multiple positions and processing them through photogrammetry, the system obtains accurate vegetation parameters without the images themselves causing damage to the vegetation structure.
3Device complexity
If manual measurement methods are used, then device complexity is reduced, but productivity decreases
Solution Approach 1:
The patent employs a multi-functional measurement approach where a single photogrammetric system can characterize various vegetation parameters (height, volume, density, biomass) by processing images from multiple positions. This universal approach replaces multiple specialized manual measurement tools, improving productivity while maintaining manageable system complexity through integrated processing.
Solution Approach 2:
The patent replaces manual mechanical measurement procedures with automated image processing algorithms. The photogrammetric software automatically extracts three-dimensional vegetation models and calculates parameters, significantly improving measurement efficiency and productivity without requiring complex hardware systems.
4Measurement precision
If measurements are conducted from multiple positions and angles, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent divides the measurement process into discrete image capture steps from multiple positions, with each position providing specific viewing angles. This segmentation allows the system to build comprehensive three-dimensional vegetation models by combining information from individual images, achieving high precision without requiring a single complex all-purpose measurement device.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate, automated, and non-destructive characterization of vegetation parameters, enhancing the quality of remote sensing data calibration and validation by minimizing personnel effort and environmental impact.
Implementation Method 1
The detection device (11) generates three-dimensional image information about the vegetation (82)
Implementation Method 2
using plenoptic cameras and artificial lighting to ensure reproducible conditions
Data Source
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AI summary
The invention relates to an arrangement and a method for characterizing vegetation (82), wherein - a detection device (11) detects vegetation (82) and generates three-dimensional image information about the vegetation (82) through the detection, and - an evaluation device determines at least one quantity characterizing the vegetation (82) from the three-dimensional image information.