At GIX Consulting, we've been delving into a method known as AdQSM. While AdQSM is typically used with Terrestrial Laser Scanning (TLS) data, we've been applying it to UAV (Unmanned Aerial Vehicle) data. Here's what we've found.
What is AdQSM?
AdQSM, short for Accurate and Detailed Quantitative Structure Model, is a technique that uses TLS point clouds to estimate the AGB of large tropical trees. It was developed by researchers including Guangpeng Fan and represents trees as a set of closed and complete convex polyhedra.
Figure 1: A point cloud representation of tree 183.
Our Work with AdQSM
Gathering and Processing Data
Our team at GIX Consulting collected TLS point clouds of various tree species. These point clouds provided us with detailed three-dimensional data about the trees.
Figure 2: A 3D model of tree 183 reconstructed using AdQSM.
Reconstructing and Analyzing
We used AdQSM to reconstruct 3D models of the trees, transforming the point clouds into a series of closed convex polyhedra. This allowed us to derive estimates of the tree's structure and volume.
Figure 3: Another example of a point cloud representation.
Comparing with Other Methods
We also compared AdQSM with other existing methods like TreeQSM. The results provided insights into how AdQSM performs relative to other techniques.
Figure 4: Another example of a 3D model reconstructed using AdQSM.
Conclusion
Our exploration of AdQSM at GIX Consulting has given us a better understanding of how this method works. It's an interesting approach to estimating AGB based on TLS point clouds, and we appreciate the opportunity to learn more about it.
At GIX Consulting, we value the opportunity to explore new technologies and methods. AdQSM has been an interesting subject of study, and we look forward to what the future may bring in this field.
Acknowledgment
We'd like to thank the team that developed AdQSM. If you're interested in learning more about this method, you can refer to the original paper:
Title -AdQSM: A New Method for Estimating Above-Ground Biomass from TLS Point Clouds,
Author - Fan, Guangpeng and Nan, Liangliang and Dong, Yanqi and Su, Xiaohui and Chen, Feixiang,
Journal - Remote Sensing
Volume - 1
Number - 18
Pages - 3089
Year - 2020
publisher - Multidisciplinary Digital Publishing Institute
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