Observations du comportement du feu

Paugam et al. (2021) Orthorectification of helicopter-borne high resolution experimental burn observation from infrared handheld imagers, Remote Sensing, vol. 13(23), pp. 4913, doi: 10.3390/rs13234913

Modélisation couplée feu-atmosphère

Costes et al. (2021) Subgrid-scale fire front reconstruction for ensemble coupled atmosphere-fire simulations of the FireFlux I experiment, Fire Safety Journal, vol. 126, pp. 103475, doi: 10.1016/j.firesaf.2021.103475

Application de l’assimilation de données à la propagation du front de feu

Zhang et al. (2019b) Zhang, A. Collin, P. Moireau, A. Trouvé & M.C. Rochoux (2019) State-parameter estimation approach for data-driven wildland fire spread modeling: application to the 2012 RxCADRE S5 field-scale experiment, Fire Safety Journal, vol. 105, pp. 286-299, doi: 10.1016/j.firesaf.2019.03.009

Zhang et al. (2019a) Front shape similarity measure for data-driven simulations of wildland fire spread based on state estimation: Application to the RxCADRE field-scale experiment, Proceedings of the Combustion Institute, vol. 37, issue 3, pp. 4201-4209, doi: 10.1016/j.proci.2018.07.112

Rochoux et al. (2018) Front shape similarity measure for shape-oriented sensitivity analysis and data assimilation for eikonal equation, ESAIM (European Series in Applied and Industrial Mathematics): Proceedings and Surveys, EDP Sciences, vol. 63, pp. 258-279, doi: 10.1051/proc/201863258

Zhang et al. (2017) Evaluation of a data-driven wildland fire spread forecast model with spatially-distributed parameter estimation in simulations of the FireFlux I field-scale experiment, Fire Safety Journal, vol. 91, pp. 758-767, doi: 10.1016/j.firesaf.2017.03.057

Rochoux et al. (2015) Towards predictive data-driven simulations of wildfire spread. Part II: Ensemble Kalman Filter for the state estimation of a front- tracking simulator of wildfire spread, Natural Hazards and Earth System Sciences, vol. 15, pp. 1721-1739, doi: 10.5194/nhess-15-1721-2015

Rochoux et al. (2014) Towards predictive data-driven simulations of wildfire spread. Part I: Reduced-cost Ensemble Kalman Filter based on a Polynomial Chaos surrogate model for parameter estimation, Natural Hazards and Earth System Sciences, vol. 14, pp. 2951-2973, doi: 10.5194/nhess-14-2951-2014

Rochoux et al. (2013) Regional-scale simulations of wildland fire spread informed by real-time flame front observations, Proceedings of the Combustion Institute, 34, 2641-2647, doi: 10.1016/j.proci.2012.06.090