Articles | Volume 9, issue 3
Earth Surf. Dynam., 9, 519–537, 2021
https://doi.org/10.5194/esurf-9-519-2021
Earth Surf. Dynam., 9, 519–537, 2021
https://doi.org/10.5194/esurf-9-519-2021

Research article 11 Jun 2021

Research article | 11 Jun 2021

Automated quantification of floating wood pieces in rivers from video monitoring: a new software tool and validation

Hossein Ghaffarian et al.

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Cited articles

Abbe, T. B. and Montgomery, D. R.: Patterns and processes of wood debris accumulation in the Queets river basin, Washington, Geomorphology, 51, 81–107, https://doi.org/10.1016/S0169-555X(02)00326-4, 2003. 
Ali, I. and Tougne, L.: Unsupervised Video Analysis for Counting of Wood in River during Floods, in: Advances in Visual Computing, vol. 5876, edited by: Bebis, G., Boyle, R., Parvin, B., Koracin, D., Kuno, Y., Wang, J., Pajarola, R., Lindstrom, P., Hinkenjann, A., Encarnação, M. L., Silva, C. T., and Coming, D., Springer Berlin Heidelberg, Berlin, Heidelberg, 578–587, https://doi.org/10.1007/978-3-642-10520-3_55, 2009. 
Ali, I., Mille, J., and Tougne, L.: Wood detection and tracking in videos of rivers, in: Scandinavian Conference on Image Analysis, 646–655, Berlin, https://doi.org/10.1007/978-3-642-21227-7_60, Heidelberg, 2011. 
Ali, I., Mille, J., and Tougne, L.: Space–time spectral model for object detection in dynamic textured background, Pattern Recogn. Lett., 33, 1710–1716, https://doi.org/10.1016/j.patrec.2012.06.011, 2012. 
Ali, I., Mille, J., and Tougne, L.: Adding a rigid motion model to foreground detection: application to moving object detection in rivers, Pattern Anal. Appl., 17, 567–585, https://doi.org/10.1007/s10044-013-0346-6, 2014. 
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Short summary
Quantifying wood fluxes in rivers would improve our understanding of the key processes in river ecology and morphology. In this work, we introduce new software for the automatic detection of wood pieces in rivers. The results show 93.5 % and 86.5 % accuracy for piece number and volume, respectively.