Conference Agenda
Session | ||
W1 Forestry: AI-based Solutions and Single Tree Detection
| ||
Presentations | ||
ID: 218
/ W1 Forestry: 1
Multi-model Approach for Tree Detection and Classification in Wallonia Region (Belgium) Spacebel sa., Earth Observation Applications, Angleur, Belgium ID: 219
/ W1 Forestry: 2
Scaling Individual Tree Crown Segmentation using Large Vision Models LINKS Foundation, Italy ID: 166
/ W1 Forestry: 3
Tree Crown Damage Detection In Aerial Imagery Using Robust Deep Learning Models LWF, Germany ID: 262
/ W1 Forestry: 4
TreeAI: a Global Database for Tree Species Annotations and High-resolution Aerial Imagery 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 1Joanneum Research, Institute for Digital Technologies, Graz, Austria; 2GeoSphere Austria, Department for Climate-Impact-Research, Vienna, Austria |