Call for Abstracts

  • Opening day
  • Submission deadline

We would like to welcome contributions of presentations in the following sessions:

1) Session 2: Results from the Community (15-20 mins each)

This session will highlight community-driven results, with a particular focus on how researchers, city planners, and environmentalists are their own work. We encourage submissions for:

  • Case studies in urban forestry, biodiversity, or ecosystem management.
  • Results of studies involving remote sesing and or machine
    learning for tree/forest monitoring.
  • Comparative analyses of different machine/deep learning models used for tree monitoring.

2) Session 3: Potential Use Cases of DeepTrees (15-20 mins each)

This session invites forward-looking presentations discussing the real-world applications of DeepTrees. Potential speakers are encouraged to submit sessions on:

  • Enhancing urban forestry management and ecosystem service modeling using tree crown data.
  • Potential of DeepTrees for improving biodiversity assessments and carbon storage estimations.
  • Innovative and novel use cases for DeepTrees in environmental monitoring and conservation projects.
The call for abstracts is closed.