Research Article
Automated Recognition of Tree Species by Laser Scanning from 3D Geometric Texture of Tree Barks: Case of the Wadi Cherrat Arboretum
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@INPROCEEDINGS{10.1007/978-3-031-06374-9_27, author={Iliasse Abdennour and Dembele Mah and Abdes Samed Bernoussi and Mina Amharref}, title={Automated Recognition of Tree Species by Laser Scanning from 3D Geometric Texture of Tree Barks: Case of the Wadi Cherrat Arboretum}, proceedings={e-Infrastructure and e-Services for Developing Countries. 13th EAI International Conference, AFRICOMM 2021, Zanzibar, Tanzania, December 1-3, 2021, Proceedings}, proceedings_a={AFRICOMM}, year={2022}, month={5}, keywords={Species identification LIDAR Forest resource management Forestry database}, doi={10.1007/978-3-031-06374-9_27} }- Iliasse Abdennour
Dembele Mah
Abdes Samed Bernoussi
Mina Amharref
Year: 2022
Automated Recognition of Tree Species by Laser Scanning from 3D Geometric Texture of Tree Barks: Case of the Wadi Cherrat Arboretum
AFRICOMM
Springer
DOI: 10.1007/978-3-031-06374-9_27
Abstract
This work aims to develop an efficient and intelligent method for forest resource management. The objective is to implement an automatic tree species identification system based on 3D data obtained from terrestrial laser scans. The approach adopted concerns first the acquisition of 2D and 3D data, then the processing of LIDAR data and finally a process of identification of tree species by machine learning. A platform is designed and developed to meet this objective. The platform is a means that can be used by local researchers for the identification of tree species, providing a forestry database of the Wadi Cherrat arboretum.
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