S.I. Chumachenko1, V.I. Terekhov2, E.T. Mitrofanov3, I.A. Grishin4

1, 3 Mytishchi branch of Bauman Moscow State Technical University
2, 4 Bauman Moscow State Technical University (Moscow, Russia)
 

LiDAR laser scanning provides three-dimensional point clouds of scanned objects. The obtained records of the coordinates of points in space open up the possibility for a detailed survey of the forest stand in remote conditions. The LiDAR data of the forest areas make it possible to implement the assessment of stands by the enumerative method, which is based on the data of a complete enumeration of trees over the entire area of the forest area, in a short time and automatically. However, methods for estimating stand parameters in dense point clouds need to be improved. The key preliminary task of forest inventory in the conditions of such processing is the extraction of individual trees from the forest area.

Target – consider and implement a procedure for determining the parameters of individual trees using LiDAR data. Compare the results of measurements of parameters on two data sets obtained by automatic and manual segmentation with the results of field measurements of the parameters of the site.

In this paper, the authors considered and implemented a procedure for determining the parameters of individual trees using LiDAR data. The sets of extracted trees for their evaluation were obtained in two different ways: manual segmentation and automatic division of the plot using a Voronoi diagram into subregions, each of which contains only one tree. The input data for splitting, which is tree coordinates, is obtained automatically by analyzing the bottom layer of the cloud using the density-based clustering method. Then, two sets of trees were processed in order to assess taxation parameters, the calculated values were compared with the results of field measurements.

The results of the estimation of the parameters, as well as insignificant differences in the parameters between automatic and manual separation, give grounds to assert that the use of such automatic separation to determine the main taxation parameters is possible in the framework of solving such problems and is recommended, especially for areas with a low planting density. The considered method of division of the site can significantly reduce the time of segmentation of simple areas of the forest.

Chumachenko S.I., Terekhov V.I., Mitrofanov E.T., Grishin I.A. An approach for estimating trees parameters using LiDAR data. Dynamics of complex systems. 2022. V. 16. № 4. P. 63−73. DOI: 10.18127/j19997493-202204-06 (in Russian).

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