The Wood Image Analysis and Dataset (WIAD): Open‐access visual analysis tools to advance the ecological data revolution

Rademacher, Tim and Seyednasrollah, Bijan and Basler , David J. and Cheng, Jianlin and Mandra, Tessa and Miller, Elise and Lin, Zuid and Orwig, David A. and Pederson, Neil and Pfister, Hanspeter and Wie, Donglai and Yao, Li and Richardson, Andrew D.. (2021) The Wood Image Analysis and Dataset (WIAD): Open‐access visual analysis tools to advance the ecological data revolution. Methods in Ecology and Evolution, 12 (12). pp. 2379-2387.

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Official URL: https://edoc.unibas.ch/86935/

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Ecological data are collected and shared at an increasingly rapid pace, but it is often shared in inconsistent and untraceable processed forms. Images of wood contain a wealth of information such as colours and textures but are most commonly reduced to ring-width measurements before they can be shared in various common file formats. Archiving digital images of wood samples in libraries, which have been developed for ecological analysis and are publicly available, remains the exception. We developed the Wood Image Analysis and Dataset (WIAD), an open-source application including a web interface to integrate basic visual analysis of wood samples, such as increment cores, thin sections or X-ray films, basic data processing, and archiving of the images and derived data to facilitate transparency and reproducibility in studies using visual characteristics of wood. WIAD provides user-friendly tools to manipulate images of wood samples, mark and measure wood characteristics such as growth increments, density fluctuations, early- and latewood widths and fire scars, and to visualise, process and archive images, metadata, and the derived data. WIAD constitutes a step towards the reproducible automation of tree-ring analysis while establishing an open-source foundation to create improved community-developed repositories which would enable novel ecological studies harnessing the wealth of existing visual data.
Faculties and Departments:05 Faculty of Science > Departement Umweltwissenschaften > Integrative Biologie > Physiological Plant Ecology (Kahmen)
UniBasel Contributors:Basler, David
Item Type:Article, refereed
Article Subtype:Research Article
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:10 Feb 2022 10:55
Deposited On:10 Feb 2022 10:55

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