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).

 
 
Session Overview
Session
PS 1 - SpS 03: Applications of drones in forestry: lessons learnt and way forward
Time:
Tuesday, 30/Aug/2022:
4:30pm - 5:30pm

Session Chair: Stefano PULITI
Session Chair: Louise TERRYN
Location: Lecture Hall 2

ground floor

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Presentations
Live Oral Presentation

UAV-LS for monitoring tropical ecosystems: possibilities and limitations

Louise Terryn1, Kim Calders1, Harm Bartholomeus2, Benjamin Brede3, Sruthi M. Krishna Moorthy1,4, Hans Verbeeck1

1CAVElab - Computational & Applied Vegetation Ecology, Faculty of Bioscience Engineering, Ghent University, Belgium; 2Wageningen University & Research, Laboratory of Geo-Information Science and Remote Sensing, Droevendaalsesteeg 3, 6708 PB Wageningen, The Netherlands; 3Helmholtz GFZ German Research Centre for Geosciences, Section 1.4 Remote Sensing and Geoinformatics, Telegrafenberg, Potsdam 14473, Germany; 4Department of Geographical Sciences, University of Maryland, College Park, USA



Live Oral Presentation

Tree height-growth trajectory estimation using uni-temporal UAV laser scanning data and deep learning

Stefano Puliti, Paul McLean, Nicolas Cattaneo, Carolin Fischer, Rasmus Astrup

Norwegian Institute for Bioeconomy Research (NIBIO), Division of Forest and Forest Resources, Høgskoleveien 8, 1433 Ås, Norway.



Online Oral Presentation

Integrating UAV and space-borne data to describe tree decline

Marziye GHASEMI, Hooman Latifi

K. N. Toosi University of Technology, Iran, Islamic Republic of



Live Oral Presentation

Oblique Multi-view angle UAV flight plans - an analysis of the potential for ground surface visibility and 3D stand structure mapping in dense deciduous forests

Sören HESE

Friedrich-Schiller-University Jena



Live Oral Presentation

Transferability of a deep learning model for individual tree crown delineation and classification.

Andrew Joel CHADWICK1, Nicholas C COOPS1, Chris W BATER2, Lee A MARTENS2

1University of British Columbia, Canada; 2Alberta Agriculture and Forestry, Canada



 
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