I am a PhD student working on building a pipeline for automatic image annotation for computer vision applications in forest operations. With a strong background in forestry and a passion for tech, I have honed my skills in statistical modeling and have contributed to research projects, providing data analysis and drone photogrammetry support.
I believe in the power of open-source technologies to democratize access to essential tools and data, allowing for more effective and inclusive decision-making in the bio-based industry and beyond.
Toolkit
- R (Tidyverse, Tidymodels)
- Python (Pytorch)
- GIS
- GIT
- Docker
- Quarto
- AWS
- Proxmox
Media
Höök (2022). Supply and Command: Quantitative Methods for Risk Management and Resilience in Wood Supply. Proceedings of The Joint 44th Annual Meeting of Council on Forest Engineering, the 54th International Symposium on Forest Mechanization. COFE;FORMEC. October 4-7, Corvallis, Oregon. ISBN: 979-8-9855282-1-3. https://www.formec.org/images/proceedings/2022/Proceedings_COFE-FORMEC-IUFRO_2022.pdf [2023-03-20]
Bergstrom et al. (2022). Effects of boom-corridor thinning on harvester productivity and residual stand structure. International Journal of Forest Engineering, 33. https://doi.org/10.1080/14942119.2022.2058258
Höök (2020). Unmanned aerial vehicle photography and photogrammetry in the Smallwood project. (SmallWood report, November 2020). https://www.smallwood.eu/wp-content/uploads/sites/4/2021/01/SmallWood-Drone-Report_Christian_Hook.pdf [2023-02-18]
Höök (2020). Promotional video of Smallwood project [Video]. https://www.youtube.com/watch?v=vkZ1UI9yZeo [2022-03-14]
Höök et al. (2020). A Method of Finding HCT Roundwood Corridors for Reduction of GHG Emissions and Fuel Costs in Sweden. Forests, 11(2). https://doi.org/10.3390/f11020220
