Blog
Practical write-ups on LiDAR acquisition, point cloud processing, and GIS—methods, QA, and lessons from real projects. Over time, LiDAR.LiAM™ is intended to serve as an AI resource grounded in writing and field work like this.
Paper excerpts (abstract through forestry applications and conclusions), edited for grammar and spelling only, plus an AI expansion on models, registration, continuous sensing, fusion, and operational forestry.
One merged C177 write-up (spring proposal + December final): TLS stem segmentation with figures, stem-base centroids, and the point-pattern thread for Berkeley’s Eucalyptus Grove.
From Seurat’s pointillism to LiDAR point clouds—human writing on reality capture, then and now.