PhD Candidate in Forest Resource Management. Applying point cloud deep learning to predict tree biomass.
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University of British Columbia
- Vancouver
- https://harryseely.github.io
- https://orcid.org/0000-0002-6285-762X
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written in Jupyter Notebook
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interactive notebooks from Planet Engineering
Project developed for a Kaggle Competition organised by CentraleSupelec Deep Learning course. Final result: 1st place
This is the repository for the 'Remote Sensing of Environment' article: Deep point cloud regression for above-ground forest biomass estimation from airborne LiDAR
View & explore data from LVIS collected during the NASA Arctic Boreal Vulnerability Experiment (ABoVE).