Validation of tree height measurement with UAV-SfM technique combining ALS data using ICP algorithm

Abstract

Tatsuki Yoshii and Naoto Matsumura: Validation of tree height measurement with UAV-SfM technique combining ALS data using ICP algorithm. Jpn. J. For. Plann. 55: 95~101, 2022　The aim of this research is to derive tree height with UAV-SfM technique combining ALS data without a GCPs setting. A 3D point cloud acquired by the UAV-SfM was georeferenced with an ICP algorithm using an ALS point cloud. A CHM was calculated by subtraction between a DSM with the georeferenced point cloud acquired by the UAV and a DTM acquired by the ALS. The result of the accuracy assessment showed that RMSE of tree height was 0.30m. The result suggests that a combination of an UAV-SfM technique and ALS is valid for tree height measurement.