4.7 Article

SimpleTree-An Efficient Open Source Tool to Build Tree Models from TLS Clouds

期刊

FORESTS
卷 6, 期 11, 页码 4245-4294

出版社

MDPI
DOI: 10.3390/f6114245

关键词

biomass; density; volume; TLS; forestry; tree; stem; branch; point cloud; open source; software

类别

资金

  1. Federal Ministry of Education and Research (BMBF) within the Lin2Value project [033L049A]
  2. German Research Foundation (DFG)
  3. Ludwigs University Freiburg in the funding programme Open Access Publishing
  4. NERC [nceo020002] Funding Source: UKRI
  5. Natural Environment Research Council [nceo020002] Funding Source: researchfish

向作者/读者索取更多资源

An open source tool named SimpleTree, capable of modelling highly accurate cylindrical tree models from terrestrial laser scan point clouds, is presented and evaluated. All important functionalities, accessible in the software via buttons and dialogues, are described including the explanation of all necessary input parameters. The method is validated utilizing 101 point clouds of six different tree species, in the main evergreen and coniferous trees. All scanned trees have been destructively harvested to get accurate estimates of above ground biomass with which we assess the accuracy of the SimpleTree-reconstructed cylinder models. The trees were grouped into four data sets and for each one a Concordance Correlation Coefficient of at least 0.92 (0.92, 0.97, 0.92, 0.94) and an total relative error at most approximate to 8 % (2.42%, 3.59%, -4.59%, 8.27%) was achieved in the comparison of the model results to the ground truth data. A global statistical improvement of derived cylinder radii is presented as well as an efficient optimization approach to automatically improve user given input parameters. An additional check of the SimpleTree results is presented via comparison to the results of trees reconstructed using an alternative, published method.

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