From pixels to peat: Discerning management practices and their implications in peatlands using machine learning and multi-temporal spatial remote sensing
Date:
This presentation explored the application of machine learning and multi-temporal remote sensing for understanding management impacts on peatland ecosystems.
Key Themes
- Multi-temporal satellite imagery analysis for peatland monitoring
- Machine learning applications in ecosystem assessment
- Management practice detection and impact quantification
- Policy implications for peatland conservation
Recognition
This presentation was supported by the Eileen Reilly Award, recognizing excellence in geographic research and its communication.
Impact
The research contributes to evidence-based peatland management and supports conservation policy development through advanced geospatial analysis techniques.