Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Daily Overview |
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Artificial Intelligence in Forest Research and Management II
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In-person Oral Presentation
Predicting Forest Inventory Parameters from Remote Sensing Data: Comparison of Random Forest and Deep Learning Approaches 1: Department of Visitor Management and National Pak Monitoring, Bavarian Forest National Park, 94481 Grafenau, Germany; 2: Chair of Wildlife Ecology and Wildlife Management, University of Freiburg, 79106 Freiburg, Germany; 3: Theoretical Ecology, University of Regensburg, Regensburg, Germany; 4: School of Life Sciences, Technical University of Munich, Hans-Carl-von-Carlowitz-Platz 2, Freising 85354, Germany; 5: Berchtesgaden National Park, Doktorberg 6, Berchtesgaden 83471, Germany; 6: Inland Norway University of Applied Science, Institute for Forest and Wildlife Management, 2480 Koppang, Norway Virtual Oral Presentation
Scaling Up Forest Vision with Synthetic Data University of Cambridge, United Kingdom In-person Oral Presentation
Geospatial foundation models enable data-efficient tree species mapping in temperate mountain forests 1: University of Cambridge, United Kingdom; 2: Fondazione Edmund Mach, Italy; 3: dClimate Labs, New York In-person Oral Presentation
Wall-to-Wall Forest Structure Mapping Using Generative AI and NAIP Imagery 1: New Mexico Consortium; 2: Silvx Labs | ||