A case study of how we use Deep Learning based photogrammetry to calculate the height of trees from very high resolution satellite imagery. We show the substantial improvement achieved by switching from classical photogrammetric techniques to a deep learning based model (implemented in PyTorch), and the challenges we had to overcome to make this solution work.

Ferdinand Schenck

Affiliation: LiveEO GmbH

Ferdinand Schenck is a Machine Learning Engineer at LiveEO currently focused on applying Machine Learning techniques to remote sensing data.

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