StemSure: Software for diameter at breast height measurement and quality control using forest LiDAR point clouds

Abstract

StemSure is Python software for diameter at breast height (DBH) measurement from metric forest LiDAR point clouds. It processes unclassified, classified, or height-normalized LAS/LAZ inputs through ground estimation, stem-candidate generation, circular-section fitting, and neighboring-height consistency checks. Candidate-level outputs link diameters and positions to fitted centers, section heights, geometric diagnostics, processing states and reasons, and run provenance. This version 0.5.4 deposit preserves the publicly released source code, installable Python wheel, bilingual plain-text documentation, a synthetic LAS demonstration, and release-verification records. Frozen version 0.5.1 source and wheel artifacts are included in the source archive for reproduction of the associated manuscript measurements. The 0.5.4 measurement implementation retains the 0.5.3 algorithms and thresholds; release changes concern approved licensing, manuscript title, and publication metadata. Independent wheel installation, dependency checks, four regression tests, and equality of synthetic measurement outputs were verified. The default central measurement height is 1.30 m; input coordinates are in meters and the numerical diameter range is 5–70 cm. The supplied example is synthetic; forest datasets remain available from their original providers. This deposit contains the measurement software and its frozen paper version; the manuscript supplementary materials provide the complete per-tree evaluation and figure-recomputation materials. Free use is permitted for reproduction and independent verification of the associated manuscript under the StemSure Paper Reproduction License, version 1.0. Other research, commercial use, and public redistribution require prior written authorization; full terms are in LICENSE.txt. Permission contact: Qianxi Qu, qqx@caf.ac.cn. Associated manuscript: StemSure: Software for diameter at breast height measurement and quality control using forest LiDAR point clouds.