Articles | Volume 13, issue 1
https://doi.org/10.5194/esurf-13-167-2025
https://doi.org/10.5194/esurf-13-167-2025
Research article
 | 
07 Feb 2025
Research article |  | 07 Feb 2025

Automatic detection of floating instream large wood in videos using deep learning

Janbert Aarnink, Tom Beucler, Marceline Vuaridel, and Virginia Ruiz-Villanueva

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Latest update: 11 Feb 2025
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Short summary
This study presents a novel convolutional-neural-network approach for detecting instream large wood in rivers, addressing the need for flexible monitoring methods across diverse data sources. Using a database of 15 228 fully labelled images, the model achieved a weighted mean average precision of 67 %. Fine-tuning parameters and sampling techniques can improve performance by over 10 % in some cases, offering valuable insights into ecosystem management.
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