Low Cost Automatic Reconstruction of Tree Structure by AdQSM with Terrestrial Close-Range Photogrammetry

The quantitative structure model (QSM) contains the branch geometry and attributes of tree. AdQSM is a new, accurate, detailed tree QSM. In this paper, an automatic modeling method based on developed, low-cost technical scheme provided, so that can be freely used by more people. First, we two digital cameras to collect two-dimensional (2D) photos trees generated three-dimensional (3D) point clouds plot segmented individual from clouds. Then new QSM-AdQSM was construct 44 trees. Finally, verify effectiveness our method, diameter at breast height (DBH), height, trunk volume were derived reconstructed model. These parameters extracted compared with reference values forest inventory. For DBH, relative bias (rBias), root mean square error (RMSE), coefficient variation (rRMSE) 4.26%, 1.93 cm, 6.60%. rBias, RMSE, rRMSE were—10.86%, 1.67 m, 12.34%. determination (R2) DBH estimated value 0.94 0.86. We calculated allometric equation as test accuracy AdQSM. AdQSM, its 0.07066 m3, rBias 18.73%, RMSE 0.12369 32.78%. To better evaluate QSM’s reconstruction volume, TreeQSM in same dataset. ?0.05071 ?13.44%, 0.13267 35.16%. At 95% confidence interval level, concordance correlation (CCC = 0.77) agreement between greater than 0.60). significance research follows: (1) which expands application scope AdQSM; (2) provide photogrammetric cloud input data (3) explore potential reconstruct terrestrial