3D Forest: An application for descriptions of three-dimensional forest structures using terrestrial LiDAR

Terrestrial laser scanning is a powerful technology for capturing the three-dimensional structure of forests with a high level of detail and accuracy. Over the last decade, many algorithms have been developed to extract various tree parameters from terrestrial laser scanning data. Here we present 3D Forest, an open-source non-platform-specific software application with an easy-to-use graphical user interface with the compilation of algorithms focused on the forest environment and extraction of tree parameters. The current version (0.42) extracts important parameters of forest structure from the terrestrial laser scanning data, such as stem positions (X, Y, Z), tree heights, diameters at breast height (DBH), as well as more advanced parameters such as tree planar projections, stem profiles or detailed crown parameters including convex and concave crown surface and volume. Moreover, 3D Forest provides quantitative measures of between-crown interactions and their real arrangement in 3D space. 3D Forest also includes an original algorithm of automatic tree segmentation and crown segmentation. Comparison with field data measurements showed no significant difference in measuring DBH or tree height using 3D Forest, although for DBH only the Randomized Hough Transform algorithm proved to be sufficiently resistant to noise and provided results comparable to traditional field measurements.

[1]  Richard Condit,et al.  Tropical Forest Census Plots: Methods and Results from Barro Colorado Island, Panama and a Comparison with Other Plots , 1998 .

[2]  Norman A. Bourg,et al.  CTFS‐ForestGEO: a worldwide network monitoring forests in an era of global change , 2015, Global change biology.

[3]  J. Campbell Introduction to remote sensing , 1987 .

[4]  R. Reulke,et al.  Remote Sensing and Spatial Information Sciences , 2005 .

[5]  Richard Condit,et al.  Tropical Forest Census Plots , 1998, Environmental Intelligence Unit.

[6]  M. Herold,et al.  Nondestructive estimates of above‐ground biomass using terrestrial laser scanning , 2015 .

[7]  D. Coomes,et al.  A general integrative framework for modelling woody biomass production and carbon sequestration rates in forests , 2012 .

[8]  Aashish Chaudhary,et al.  The Visualization Toolkit (VTK): Rewriting the rendering code for modern graphics cards , 2015 .

[9]  E. Schulze,et al.  Crown modeling by terrestrial laser scanning as an approach to assess the effect of aboveground intra- and interspecific competition on tree growth , 2013 .

[10]  Peng Li,et al.  Segmenting tree crowns from terrestrial and mobile LiDAR data by exploring ecological theories , 2015 .

[11]  M. Nieuwenhuis,et al.  Retrieval of forest structural parameters using LiDAR remote sensing , 2010, European Journal of Forest Research.

[12]  F. P. Preparata,et al.  Convex hulls of finite sets of points in two and three dimensions , 1977, CACM.

[13]  Richard A. Fournier,et al.  A fine-scale architectural model of trees to enhance LiDAR-derived measurements of forest canopy structure , 2012 .

[14]  S. Fleck,et al.  3D-laser scanning: A non-destructive method for studying above-ground biomass and growth of juvenile trees , 2011 .

[15]  D. Seidel,et al.  How neighborhood affects tree diameter increment – New insights from terrestrial laser scanning and some methodical considerations , 2015 .

[16]  Kamil Král,et al.  Arrangement of terrestrial laser scanner positions for area-wide stem mapping of natural forests , 2013 .

[17]  Erkki Oja,et al.  Randomized hough transform (rht) : Basic mech-anisms, algorithms, and computational complexities , 1993 .

[18]  Philip Lewis,et al.  Fast Automatic Precision Tree Models from Terrestrial Laser Scanner Data , 2013, Remote. Sens..

[19]  Hans-Gerd Maas,et al.  Automatic forest inventory parameter determination from terrestrial laser scanner data , 2008 .

[20]  Heinrich Spiecker,et al.  SimpleTree —An Efficient Open Source Tool to Build Tree Models from TLS Clouds , 2015 .

[21]  A. Bienert,et al.  APPLICATION OF TERRESTRIAL LASER SCANNERS FOR THE DETERMINATION OF FOREST INVENTORY PARAMETRS , 2006 .

[22]  Nikolai I. Chernov,et al.  Least Squares Fitting of Circles , 2005, Journal of Mathematical Imaging and Vision.

[23]  C. Leuschner,et al.  Crown plasticity in mixed forests—Quantifying asymmetry as a measure of competition using terrestrial laser scanning , 2011 .

[24]  Gábor Brolly,et al.  Algorithms for stem mapping by means of terrestrial laser scanning , 2009 .

[25]  Jonathan P. Sheppard,et al.  Highly Accurate Tree Models Derived from Terrestrial Laser Scan Data: A Method Description , 2014 .

[26]  Radu Bogdan Rusu,et al.  3D is here: Point Cloud Library (PCL) , 2011, 2011 IEEE International Conference on Robotics and Automation.