Traceability and quality assessment of Norway spruce (Picea abies (L.) H.Karst.) logs: the TreeTrace

Traceability and quality assessment of Norway spruce (Picea abies (L.) H.Karst.) logs: the TreeTrace_spruce database

Published:2023-02-13 Issue:1 Volume:80 Page:
ISSN:1297-966X
Container-title:Annals of Forest Science
language:en
Short-container-title:Annals of Forest Science

Author:

Longuetaud Fleur^ORCID,Schraml Rudolf,Mothe Frédéric,Ravoajanahary Tojo,Decelle Rémi,Constant Thiéry,Ngo Phuc,Debled-Rennesson Isabelle,Entacher Karl,Petutschnigg Alexander,Brüchert Franka,Uhl Andreas

Abstract

Abstract Key message The TreeTrace_spruce database contains images and measurements of 100 Norway spruce (Picea abies (L.) H.Karst.) logs from Northeastern France, each about 4.5 m long. The image database includes RGB images of large and small ends of the logs and hyperspectral and computed tomography (CT) images of wood discs sampled at both log ends. The 100 logs were also fully X-ray scanned with a CT device for roundwoods and their top surface was scanned with a terrestrial LiDAR device. The measurements performed on discs include wood local density, growth ring widths and pith location. This database is complementary to another one (TreeTrace_Douglas) resulting from the same ANR project TreeTrace, but if the objectives are similar, the protocols and conditions of acquisition are not the same for these two databases. TreeTrace_spruce dataset is available at https://doi.org/10.57745/WKLTJI and associated metadata are available at https://metadata-afs.nancy.inra.fr/geonetwork/srv/fre/catalog.search#/metadata/cffee2f1-18e1-4b53-9f5b-6cc4c66f1cb8.

Funder

ANR

Publisher

Springer Science and Business Media LLC

Subject

Ecology,Forestry

Link

https://link.springer.com/content/pdf/10.1186/s13595-023-01178-8.pdf

Reference21 articles.

1. BFW (2008) Bundesforschungszentrum für wald. (2008) bfw-praxisinformation nr. 16 - 2008. https://bfw.ac.at/030/pdf/1818_pi16.pdf. Accessed 11 Jan 2023.

2. BFW (2022) Bundesforschungszentrum für wald. (2022) Österreichische waldinventur. periode 2016/21. https://www.waldinventur.at. Accessed 11 Jan 2023.

3. Decelle R, Jalilian E (2020) Neural networks for cross-section segmentation in raw images of log ends. In: 2020 IEEE 4th International Conference on Image Processing, Applications and Systems (IPAS). IEEE, pp 131–137. https://doi.org/10.1109/IPAS50080.2020.9334960

4. Delconte F (2019) Estimation de la qualité de grumes de bois. Master’s thesis, M2 informatique, Parcours type Apprentissage, Vision, Robotique (AVR), Université de Lorraine, Nancy, France. https://hal.univ-lorraine.fr/hal-03603108

5. FCBA (2022) Memento 2022. p 48. https://www.fcba.fr/wp-content/uploads/2023/01/Memento-2022-WEB.pdf. Accessed 11 Jan 2023.

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Log cross section quality metrics: Assessing the usability of roundwood image data for roundwood tracking;Computers and Electronics in Agriculture;2024-06

2. Terrestrial vs. UAV-Based Remote Measurements in Log Volume Estimation;Remote Sensing;2023-10-27

3. FTIDB: a new flue-cured tobacco leaf image database;Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023);2023-10-17