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.