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
Repository for our study on big-tree forests of Vancouver Island
Two-stage XGBoost/RF pipeline for mangrove canopy height, AGB, and carbon stock estimation using Sentinel-2 and GEDI over West Kalimantan.
generates rasters of canopy height from the Global Ecosystem Dynamics Investigation (GEDI) mission
Analysis code and derived data for a Bayesian hierarchical characterization of Vantor Precision3D canopy-height and terrain errors in forests, evaluated against GEDI
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.
Hands-on CloudCompare activity for measuring tree canopy height and crown width from standard and terrain-normalized lidar point clouds, exploring repeat measurements, averaging, and why height normalization matters.
Data and code to reproduce every result in "Ground-reference error limits validation of remotely sensed forest structure".
Benchmarking satellite canopy height models against ALS LiDAR in the Brazilian Amazon
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