Welcome & Introduction to DeepTrees Room: Hall 1 C Overview of project goals, workshop aims, and roadmap.

Flash Talks: Open Source & Package Updates Room: Hall 1 C Short (~15 min) lightning presentations from the community on: - New features or modules in deeptrees - Use cases or applications built on deeptrees - Community datasets published or curated - Challenges, contributions, and future plans

Hands-on Session 1: Fundamentals of Tree Crown Segmentation with Deep Learning Room: Hall 1 C Introduction to convolutional neural networks, UNet architectures, and the DeepTrees adaptation for tree crown delineation. Hands-on: Model architecture overview in PyTorch using sample orthoimages.

Hands-on Session 2: Data Annotation and Preprocessing Room: Hall 1 C Working with aerial and UAV imagery — data formats, tiling, annotation (QGIS), and mask generation. Hands-on: Creating training and validation datasets.

Hands-on Session 3: Training and Improving a Tree Crown Segmentation Model with Active Learning Room: Hall 1 C Step-by-step coding walkthrough for training and fine-tuning a DeepTrees segmentation model. Hands-on: Participants train and evaluate their own models on provided data.

Hands-On Session 4: Model Evaluation and Ecological Analysis Room: Hall 1 C Metrics for segmentation performance (IoU, precision-recall, F1 score) and post-processing for ecological insights (e.g., canopy cover, crown radius, species inference). Hands-on: Interpreting results and visualizing segmented tree crowns.

Panel and Open Discussion: From Models to Monitoring Systems Room: Hall 1 C Discussion on integrating outputs into DeepTrees workflows, FAIR data publication, and collaborative opportunities for long-term ecological monitoring