Conference Agenda

In-person Oral Presentation

Predicting Forest Inventory Parameters from Remote Sensing Data: Comparison of Random Forest and Deep Learning Approaches

Isabelle Klein^1,2, Maximilian Pichler³, Christine Hechtl^1,2, Jakob Ebenbeck¹, Rupert Seidl^4,5, Florian Hartig³, Marco Heurich^1,2,6

¹Department of Visitor Management and National Pak Monitoring, Bavarian Forest National Park, 94481 Grafenau, Germany; ²Chair of Wildlife Ecology and Wildlife Management, University of Freiburg, 79106 Freiburg, Germany; ³Theoretical Ecology, University of Regensburg, Regensburg, Germany; ⁴School of Life Sciences, Technical University of Munich, Hans-Carl-von-Carlowitz-Platz 2, Freising 85354, Germany; ⁵Berchtesgaden National Park, Doktorberg 6, Berchtesgaden 83471, Germany; ⁶Inland Norway University of Applied Science, Institute for Forest and Wildlife Management, 2480 Koppang, Norway

Virtual Oral Presentation

Scaling Up Forest Vision with Synthetic Data

Yihang She, Andrew Blake, David Coomes, Srinivasan Keshav

University of Cambridge, United Kingdom

In-person Oral Presentation

Geospatial foundation models enable data-efficient tree species mapping in temperate mountain forests

James Ball¹, Jana Wicklein², Feng Zhengpeng¹, Clement Atzberger³, Anil Madhavapeddy¹, Jovana Knezevic¹, Srinivasan Keshav¹, Michele Dalponte², David Coomes¹

¹University of Cambridge, United Kingdom; ²Fondazione Edmund Mach, Italy; ³dClimate Labs, New York

In-person Oral Presentation

Wall-to-Wall Forest Structure Mapping Using Generative AI and NAIP Imagery

Anthony Marcozzi¹, Lucas Wells², Kevin Barnett², Allison Thompson²

¹New Mexico Consortium; ²Silvx Labs