Wall-to-wall forest attribute maps (e.g., above ground biomass, canopy height and cover) at 30-meter resolution derived from spaceborne remote sensing data.
– Canopy Height Mapper (Multi-Sensor: NASA GEDI, NASA ICESat-2, Sentinel-1 SAR, Sentinel-2 Optical, AlphaEarth Embeddings)
Generate a wall-to-wall canopy height map for an area of interest by fusing NASA GEDI and/or ICESat-2 (ATL08) lidar measurements with Sentinel-1 SAR, Sentinel-2 optical imagery. Optional terrain, land cover, and AlphaEarth Foundations satellite embeddings can be added to improve accuracy.
- Access via OpenForest4D Portal (Beta)
- User Guide (Coming Soon)
– Canopy Height Mapper (NASA GEDI lidar, Sentinel-1 SAR, Sentinel-2 optical imagery)
Generate a wall-to-wall canopy height map for an area of interest using NASA GEDI lidar measurements fused with Sentinel-1 SAR and Sentinel-2 optical imagery. Optional terrain and land cover data can be added to improve accuracy.
– Forest Structure Maps from NASA GEDI lidar, Landsat and Sentinel-2 (Google Earth Engine)
A Google Earth Engine web app that generates wall-to-wall, machine-learning-based estimates of forest structure from GEDI lidar and harmonized Landsat and Sentinel-2 optical imagery. It provides canopy height, plant area index, foliage height diversity, canopy cover, and aboveground biomass at consistent spatial resolution across large regions.
- Source Code and documentation
- Live Demo (Google Earth Engine)