To do

• Extracting 'ground truth' from forest type using source: https://maps.elie.ucl.ac.be/lifewatch/ecotopes.html?lang=en
• Further preprocessing of sentinel1 or 2
• Test segment everything
• Data fusion sentinel 1 and 2
• Supervised classification of segments, potentially taking into account time-related information (imagery as timeseries)

forest-mapping

Repository to map forest types based on open-source satellite data.

• Github repository: https://github.com/joostnjns/forest-mapping/
• Documentation https://joostnjns.github.io/forest-mapping/

Getting started with your project

First, create a repository on GitHub with the same name as this project, and then run the following commands:

git init -b main
git add .
git commit -m "init commit"
git remote add origin git@github.com:joostnjns/forest-mapping.git
git push -u origin main

Finally, install the environment and the pre-commit hooks with

make install

You are now ready to start development on your project! The CI/CD pipeline will be triggered when you open a pull request, merge to main, or when you create a new release.

To finalize the set-up for publishing to PyPi or Artifactory, see here. For activating the automatic documentation with MkDocs, see here. To enable the code coverage reports, see here.

Releasing a new version

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Repository initiated with fpgmaas/cookiecutter-poetry.