A QGIS plugin for tree monitoring using AI.
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Updated
Sep 19, 2025 - Python
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
Repository for our study on big-tree forests of Vancouver Island
Geospatial ML pipeline for canopy height and height-derived carbon proxy mapping from PlanetScope/SuperDove imagery.
Two-stage XGBoost/RF pipeline for mangrove canopy height, AGB, and carbon stock estimation using Sentinel-2 and GEDI over West Kalimantan.
Benchmarking satellite canopy height models against ALS LiDAR in the Brazilian Amazon
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.
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