✎ recherche:projets:monifloatwoods2021[CBP]

✎ recherche:projets:monifloatwoods2021
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[[recherche:projets|Projets soutenus]]

====== Hydrologic signals of floating wood in rivers. Case study: Monitoring floating large woods in the Ain River, France ======
{{:recherche:cbp_ens_400.png?250 |}}**Hossein Ghaffarian** (Post-doc, ENS Lyon, EVS),\\
**Samuel Dunesme** (PhD, ENS Lyon, EVS),\\
**Herve Piégay** (Directeur de Recherche CNRS, ENS Lyon, EVS)\\
Expertise IT : **Emmanuel Quémener** (CBP, ENS-Lyon)\\**

Wood flux (piece number per time interval) is a key parameter for understanding wood budgeting, determining the controlling factors, and managing flood risk in a river basin. Quantitative wood flux data is critically needed to improve the understanding of wood dynamics and estimate wood discharge in rivers. In this study, the streamside videography technique was applied to detect wood passage and measure instantaneous rates of wood transport. The goal was to better understand how wood flux responds to flood and wind events and then predict wood flux. To do so, the river surface on the Ain River, France has been recorded using a streamside video camera since 2007. We introduce new software for the automatic detection of wood pieces in rivers, and apply different image analysis techniques such as static and dynamic masks, object tracking, and object characterization to minimize false positive and missed detections. The high precision of the software shows that it can be used to massively increase the quantity of wood flux data in rivers around the world, potentially in real time. The data set is then used to develop a random forest regression model to predict wood frequency as a function of three input variables that are derived from the flow hydrograph. The model calculates the total wood volume either during day or night based on the video monitoring technique for the first time, which expands its utility for wood budgeting in a watershed.

References:
  * Ghaffarian H, Piégay H, Lopez D, Rivière N, MacVicar B, Antonio A, Mignot E. 2020. Video-monitoring of wood discharge: first inter-basin comparison and recommendations to install video cameras. Earth Surface Processes and Landforms 45: 2219–2234. DOI: https://doi.org/10.1002/esp.4875
  * Zhang Z, Ghaffarian H, MacVicar B, Vaudor L, Antonio A, Michel K, Piégay H. 2021. Video monitoring of in-channel wood: From flux characterization and prediction to recommendations to equip stations. Earth Surface Processes and Landforms n/a DOI: 10.1002/esp.5068 [online] Available from: https://onlinelibrary.wiley.com/doi/abs/10.1002/esp.5068
  * Ghaffarian, H., Lemaire, P., Zhi, Z., Tougne, L., MacVicar, B., and Piégay, H. 2020. Automated quantification of floating wood pieces in rivers from video monitoring: a new software tool and validation, Earth Surf. Dynam., in review, DOI: https://doi.org/10.5194/esurf-2020-96
  * Ghaffarian H, MacVicar B, Hortobagyi B, Zhang Z, Robert F, Vaudor L, Petit S, Piégay H. Observer-bias and sampling uncertainties in wood flux and volume estimation from Stream-side video monitoring technique, under revision.


====== Contribution du CBP ======

Le Centre Blaise Pascal met à disposition toute son infrastructure pour permettre des processus de segmentation et d'analyse vidéo.