Traceability and quality assessment of Douglas fir (Pseudotsuga menziesii (Mirb.) Franco) logs: the TreeTrace_Douglas database

Author:

Longuetaud FleurORCID,Pot Guillaume,Mothe Frédéric,Barthelemy Alexis,Decelle Rémi,Delconte Florian,Ge Xihe,Guillaume Grégoire,Mancini Théo,Ravoajanahary Tojo,Butaud Jean-Claude,Collet Robert,Debled-Rennesson Isabelle,Marcon Bertrand,Ngo Phuc,Roux Benjamin,Viguier Joffrey

Abstract

Key messageTheTreeTrace_Douglasdatabase includes images and measurements at several stages of the processing of Douglas fir logs, from sawmill logyard to machine grading and destructive testing of boards, and is suitable for research on quality assessment and traceability. A total of 52 long logs, 156 short logs, 208 wood discs, and 346 boards were analyzed. The image data includes RGB images of log ends and board ends, RGB images and CT slices of strips, and a set of images of the boards (RGB, laser, and X-rays) obtained with an industrial board grading machine. The measurements include wood density, growth ring widths, pith and board location in the logs, heartwood and sapwood areas, mechanical properties of each board obtained by vibratory and static testing, and visual grading of the boards. Dataset is available athttps://doi.org/10.15454/YUNEGLand associated metadata are available athttps://metadata-afs.nancy.inra.fr/geonetwork/srv/fre/catalog.search#/metadata/d9eef6e4-f195-41f4-b6c2-2ab46adc637e.

Funder

ANR

Publisher

Springer Science and Business Media LLC

Subject

Ecology,Forestry

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