GoPro forest:creating a digital forest twin

Authors

  • Sandra Malliga Carinthia University of Applied Sciences image/svg+xml Author

Keywords:

GoPro

Abstract

Terrestrial Structure from Motion photogrammetry images were used to create a digital 3D twin of several forest areas. The aim was to evaluate whether this method can calculate the existing biomass and stored carbon. Instead of an expensive laser scanning device, a GoPro camera was used. The project served to learn how to use the camera and software for digital data acquisition in forests. Using GoPro images, 3D twins were created and the forest stand was compared with conventional methods. An average value per square meter was calculated in four test areas and scaled up to one hectare. The results of the digital point clouds with Agisoft Metashape and ReCap Pro were compared with conventional images. Agisoft Metashape achieved an agreement of 82.5% and ReCap Pro 87.5%.

References

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L. Piermattei et al., “Terrestrial structure-from-motion photogrammetry for deriving forest inventory data,” Remote Sens., vol. 11, no. 8, p. 950, 2019. doi: 10.3390/rs11080950. [Online]. Available: https://www.mdpi.com/2072-4292/11/8/950

D. Kükenbrink, M. Marty, R. Bösch, and C. Ginzler, “Close-range remote sensing for national forest inventory applications: A comparison of terrestrial and airborne approaches,” 2021. doi: 10.34726/WIM.1963

M. J. Westoby, J. Brasington, N. F. Glasser, M. J. Hambrey, and J. M. Reynolds, “‘Structure-from-motion’ photogrammetry: A low-cost, effective tool for geoscience applications,” Geomorphology, vol. 179, pp. 300–314, 2012. doi: 10.1016/j.geomorph.2012.08.021

Published

01-01-2024

How to Cite

GoPro forest:creating a digital forest twin. (2024). Carinthia II Part 3 - Carinthia Nature Tech, 1(1), 4. https://journal.carinthia-2.at/cari-part3/article/view/4