Post by Mirela Beloiu Schwenke

It was great to be involved in organizing #SmartForest this year - thanks to the big team for their effort! I presented my work and chaired 2 sessions: 🎤 “Bridging remote sensing and modelling: Benchmark data for future forests” 🌍 I discussed how remote sensing outputs can be integrated into forest and ecosystem models, and highlighted key pitfalls in training #DL models for tree-level monitoring. 💫Thanks go to my co-authors: Zhongyu Xia, Arthur Gessler, Teja Kattenborn, Clemens Mosig, Stefano Puliti, Natalia Rehush, Lars Waser, Luca Ferrari, Martin Mokros & Verena C Griess 🧭 Session chair: Fokus Session: Linking Remote Sensing and Forest Modelling 🛰️ (with Lars Waser). This session brought together diverse approaches: Janusch Vajna-Jehle (Univ. Freiburg) – open platforms (deadtrees.earth, 3Dtrees.earth) Stefan Reder Koithahn (HNE Eberswalde) – benchmarking tree segmentation Sebastian Dersch (Steinbeis Center) – semi-supervised DL for crown delineation Max Mangold (Bavarian Forest NP) – forest data infrastructure Kilian Hochholzer (TUM) – resilience using foundation models Andreas Hanzl (TUM) – forest floor temperature modelling from TLS 🧭In-Depth Session: Strategies for Climate-resilient Forests 🌳 Focused on applied adaptation strategies: #Dominik Thom (TU Dresden) – seedling adaptation methods Pascal Schichor (European Space Imaging) & Jacob Hjalmarsson (ARBOAIR) – AI for harvest optimization Lado Basilidze (Free Univ. Bozen) – climate impact modelling Leonard Sauter (Skyseed) – scalable direct seeding solutions 💡 Key takeaway: Bringing together remote sensing, AI, and modelling is essential to translate data into actionable insights for climate-resilient forest management. P.S. Events like this also create space to exchange experiences, including challenges and lessons learned. https://lnkd.in/e7JGzaqq