Remote Sensing Cluster Group 2024
Presentations from the meeting held on the 19th November at Rydges, Rotorua are available below:
- Introduction by Michael Watt (Scion)
- Early prediction of regional red needle cast outbreaks using climatic data trends and satellite-derived observations by Andrew Holdaway (Indufor)
- AI solutions in forestry: Monitoring growth and dynamics throughout a full rotation by Chaplin Chan (Indufor)
- Aerial surveying services: A supplier's perspective by Steve Smith (Aerial Surveys)
- ForestInsights: Mapping New Zealand's forests through deep learning and data-centric AI by Melanie Palmer (Scion)
- The challenges of quantifying woody debris using machine learning by David Herries (Interpine)
- Assessing forestry plantations with UAVs: A comparative study of laser scanning and photogrammetry by Robin Hartley and Sadeepa Jayathunga (Scion)
- Enhancing seedling detection in New Zealand forestry: A multi-datastream approach by Blake Singleton (University of Canterbury)
- Virtual reality in thinning training. Interactive forest system design by Elizaveta Graevskaya (Scion) and Claire Stewart (Forest Growers Research)
- Spatial comparisons of carbon and volume for radiata pine and 10 alternative exotic species using recently developed tools by Michael Watt (Scion) and Jamie Heather (Carbon Critical)
- Ferntech: New Zealand’s Drone Experts by Cody Stevens (Ferntech)
- Applications of spectral and thermal data by Russell Main (Scion)