OpenForest4D Computational Notebooks
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CHM_lidar_pc_lidR_v1.ipynb - This R notebook processes airborne using the lidR package to generate essential forestry and ecology products. The workflow produces Canopy Height Models (CHM), smoothed CHMs, gridded canopy metrics, individual tree detections with convex hulls, and crown-level measurements.
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forest_canopy_gap_detection_CHM.ipynb - This R notebook reads a canopy height model (CHM) raster dataset, detects forest canopy gaps based on a height threshold and area limits, computes per-gap statistics, converts them to polygons with centroids, and visualizes the gaps in the forest canopy.
OpenForest4D is funded by NSF awards 2409885, 2409886 & 2409887.