A QGIS plugin for tree monitoring using AI.
The CH-GEE app generates 10 m resolution canopy height maps by integrating GEDI Rh metrics with multi-source remote sensing data (radar, optical, and topographical features)
generates rasters of canopy height from the Global Ecosystem Dynamics Investigation (GEDI) mission
generates rasters of canopy height from the Global Ecosystem Dynamics Investigation (GEDI) mission
generates rasters of canopy height from the Global Ecosystem Dynamics Investigation (GEDI) mission
Reproducible two-stage Random Forest regression for wall-to-wall mangrove canopy height, above-ground biomass, and carbon stock estimation using Sentinel-2 and GEDI in Google Earth Engine, with an interactive dual-sidebar UI and per-stage model diagnostics.
Geospatial ML pipeline for canopy height and height-derived carbon proxy mapping from PlanetScope/SuperDove imagery.
Benchmarking satellite canopy height models against ALS LiDAR in the Brazilian Amazon
Repository for our study on big-tree forests of Vancouver Island
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