Automated Mapping of Artificial Drainage in Peatlands Using Deep Learning and Very High-Resolution Aerial Imagery
Date:
This presentation demonstrates the application of deep learning semantic segmentation models for automated mapping of artificial drainage networks in Irish peatlands using very high-resolution aerial imagery.
Research Highlights
- First national-scale automated drainage mapping in peatlands
- Semantic segmentation using sub-meter aerial imagery (0.5m resolution)
- Processing of 2TB+ of aerial imagery data
- Deep learning implementation in R using Keras and TensorFlow
- National conservation policy applications
Technical Innovation
The study developed scalable GPU-based workflows for processing massive aerial imagery datasets, enabling efficient feature detection at unprecedented spatial scales for peatland monitoring.