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

Key message

The TreeTrace_Douglas database 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.

Keywords
Image analysis; RGB images; Computed tomography; Wood density; Sapwood; Growth ring width; Mechanical properties; Lumber grading; Strength grading;

Publication
Longuetaud, F., Pot, G., Mothe, F. et al. Traceability and quality assessment of Douglas fir (Pseudotsuga menziesii (Mirb.) Franco) logs: the TreeTrace_Douglas database. Annals of Forest Science 79, 46 (2022). https://doi.org/10.1186/s13595-022-01163-7

Data and/or Code availability
The images and the database are available at Research Data Gouv repository: https://doi.org/10.15454/YUNEGL. Associated metadata are available at https://metadata-afs.nancy.inra.fr/geonetwork/srv/fre/catalog.search#/metadata/d9eef6e4-f195-41f4-b6c2-2ab46adc637e

Handling Editor
Véronique Lesage