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 summarys and downloads if available).

 
 
Session Overview
Session
W1 Forestry: AI-based Solutions and Single Tree Detection
Time:
Monday, 26/May/2025:
9:50am - 11:00am

Session Chair: Janik Deutscher
Session Chair: Manuela Hirschmugl
Location: Room 131 (Aula)


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Presentations
ID: 218 / W1 Forestry: 1

Multi-model Approach for Tree Detection and Classification in Wallonia Region (Belgium)

Nicola Dimarco, Benoît Bartiaux, Louis Andreani, Romy Schlögel

Spacebel sa., Earth Observation Applications, Angleur, Belgium



ID: 219 / W1 Forestry: 2

Scaling Individual Tree Crown Segmentation using Large Vision Models

Jacopo Lungo Vaschetti, Edoardo Arnaudo, Claudio Rossi

LINKS Foundation, Italy



ID: 166 / W1 Forestry: 3

Tree Crown Damage Detection In Aerial Imagery Using Robust Deep Learning Models

Javier Francisco Gonzalez, Adelheid Wallner

LWF, Germany



ID: 262 / W1 Forestry: 4

TreeAI: a Global Database for Tree Species Annotations and High-resolution Aerial Imagery

Zhongyu Xia1, Mirela Beloiu Schwenke1, Yan Cheng2, Arthur Gessler1,3, Teja Kattenborn4, Xinlian Liang5, Clemens Mosig6, Stefano Puliti7, Nataliia Rehush3, Lars Waser8, Verena C. Griess1, Martin Mokros9

1Department of Environmental Systems Science, Institute of Terrestrial Ecosystems, ETH Zurich, 8092 Zurich, Switzerland; 2University of Copenhagen, Copenhagen, Denmark; 3Forest Dynamics, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, 8903 Birmensdorf, Switzerland; 4Department for Sensor-based Geoinformatics, University of Freiburg; 5State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, China; 6Remote Sensing Centre for Earth System Research, Leipzig; 7Norwegian Institute for Bio-economy Research (NIBIO) National Forest Inventory, Norway; 8Remote sensing group, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, 8903 Birmensdorf, Switzerland; 9Department of Geography, University College London, United Kingdom



ID: 189 / W1 Forestry: 5

AI-based Assessment of Bark Beetle Infestation Risk with Sentinel-2

Janik Deutscher1, Andreas Wimmer1, Martin Puhm1, Klaus Haslinger2

1Joanneum Research, Institute for Digital Technologies, Graz, Austria; 2GeoSphere Austria, Department for Climate-Impact-Research, Vienna, Austria



 
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