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

Author:

Longuetaud FleurORCID,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

Reference21 articles.

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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

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