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2022 | OriginalPaper | Chapter

Automated Recognition of Tree Species by Laser Scanning from 3D Geometric Texture of Tree Barks: Case of the Wadi Cherrat Arboretum

Authors : Iliasse Abdennour, Dembele Mah, Abdes Samed Bernoussi, Mina Amharref

Published in: e-Infrastructure and e-Services for Developing Countries

Publisher: Springer International Publishing

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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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Title: Automated Recognition of Tree Species by Laser Scanning from 3D Geometric Texture of Tree Barks: Case of the Wadi Cherrat Arboretum
Authors: Iliasse Abdennour
Dembele Mah
Abdes Samed Bernoussi
Mina Amharref
Publisher: Springer International Publishing
Book: e-Infrastructure and e-Services for Developing Countries
Print ISBN: 978-3-031-06373-2

Electronic ISBN: 978-3-031-06374-9

Copyright Year: 2022
DOI: https://doi.org/10.1007/978-3-031-06374-9_27

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