Issue |
E3S Web Conf.
Volume 392, 2023
II International Conference on Agriculture, Earth Remote Sensing and Environment (RSE-II-2023)
|
|
---|---|---|
Article Number | 02034 | |
Number of page(s) | 7 | |
Section | Ecology, Environmental Protection and Conservation of Biological Diversity | |
DOI | https://doi.org/10.1051/e3sconf/202339202034 | |
Published online | 06 June 2023 |
Estimation of dendrometric characteristics in city parks according to data from UAVs and ground-based LiDAR
Petrozavodsk State University, Petrozavodsk, 185910, Russia
* Corresponding author: alexkabonen@mail.ru
The possibilities of using ground-based LiDAR and processing of aerial photography data to assess the characteristics of individual trees in urban parks are shown. The actual data obtained during the examination of the object by these methods made it possible to analyze the state of the plantation and identify dendro parameters. It has been established that the methods of automatic search for trees using 3D point clouds can be successfully used in artificial plantations. The UAV data processing method made it possible to correctly detect in automatic mode about 64% of the park’s trees (343 trees), while the number of false positives and the number of missed trees was quite high (111 and 195 trees, respectively), which was associated with a large proportion deciduous trees in the park. The weighted average of the quality of automatic tree detection in the park was 0.69. Ground-based LiDAR data in manual mode made it possible to detect all trees, determine their heights, crown diameter and trunk diameter at a height of 1.3 m, as well as identify tree species and condition category (using panoramic images). To increase the correctness of tree detection by 3D point clouds, the methods used need to be improved.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.