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canTreeCount

Using remote sensing (e.g. aerial imagery) data to count canopy trees in Perth

Remember the workflow:

  1. Consider pulling from the github repo before making changes (pull button on Git tab)
  2. Always create a new branch (top right of Git tab) to make edits
  3. Save edits, select items to commit, and commit with a useful simple comment
  4. Push the edited branch to the Github repo
  5. Make a pull request on Github website
  6. Someone will review and accept the changes, and merge the edited branch into the main branch

Things to consider / do:

Check the issues list for things to do (or add something).

Papers

  • Paper: VHRTrees: a new benchmark dataset for tree detection in satellite imagery and performance evaluation with YOLO-based models. Dataset/YOLO models weights: (check links in the README).
  • Additional Paper Anand Raju; Tree counting and classification of different level of trees using machine learning algorithms.

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Using remote sensing (e.g. aerial imagery) data to count canopy trees in Perth

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