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Forest & Biomass
Environmental Data Science Book

Tree crown detection using DeepForest

The Alan Turing Institute
https://doi.org/10.5281/zenodo.8309661

Continuous integration badge Binder doi notebook review

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How to run

Running on Binder

The notebook is designed to be launched from Binder.

Click the Launch Binder button at the top level of the repository

Running locally

You may also download the notebook from GitHub to run it locally:

  1. Open your terminal

  2. Check your conda install with conda --version. If you don’t have conda, install it by following these instructions (see here)

  3. Clone the repository

    git clone https://github.com/eds-book-gallery/15d986da-2d7c-44fb-af71-700494485def.git

  4. Move into the cloned repository

    cd 15d986da-2d7c-44fb-af71-700494485def

  5. Create and activate your environment from the .binder/environment.yml file

    conda env create -f .binder/environment.yml
conda activate 15d986da-2d7c-44fb-af71-700494485def

  6. Launch the jupyter interface of your preference, notebook, jupyter notebook or lab jupyter lab

References
  1. Coca-Castro, A. (2025). Tree crown detection using DeepForest (Jupyter Notebook) published in the Environmental Data Science book. Zenodo. 10.5281/ZENODO.8309661
Tree crown (DeepForest)
Tree crown detection using DeepForest