OpenForest4D - Global Ecosystem Dynamics Investigation (GEDI) Canopy Height Maps

Global Ecosystem Dynamics Investigation (GEDI) Canopy Height Maps Beta

Workflow estimates canopy height using Machine Learning and fusion of GEDI L2A Elevation and Height Metrics Data (Training Labels), Sentinel-2 L2A (Optical Imagery), Sentinel-1 Radiometrically Terrain Corrected (SAR Imagery) and Digital Elevation Model datasets (e.g. Copernicus GLO-30).

GEDI Footprints Collection Temporal Extents:

Start Date

End Date

Sentinel-1, Sentinel-2 Temporal Extents:

Start Date

End Date

Sentinel-2 L2A Cloud Threshold:

DEM Dataset:

Copernicus GLO-30

Machine Learning Algorithm:

Random Forest Regression

Histogram Gradient Boosting

Generate Additional Source Data Visualizations (optional)

Generate Canopy maps: