Research
Building the data infrastructure for ecological intelligence
Our research develops and validates the AI systems, remote sensing methods, and field science protocols needed to create live, multimodal models of ecosystem condition at landscape scale. This is the foundation for quantifying resilience, forecasting ecological change, and understanding the living systems that sustain us.
Projects
Visual coming soon
LiDAR · Semantic Segmentation
3D Forest Structure from Point Clouds
Deep learning segmentation of airborne LiDAR point clouds to extract individual tree structure, wood-leaf separation, and canopy metrics at scale.
Publications
Papers coming soon.
Datasets
Datasets coming soon.