Articles citing this paper
Short-term fire front spread prediction using inverse modelling and airborne infrared images
O. Rios A , E. Pastor A B , M. M. Valero A and E. Planas A
+ Author Affiliations
- Author Affiliations
A Department of Chemical Engineering, Centre for Technological Risk Studies, Universitat Politècnica de Catalunya – BarcelonaTech, Diagonal 647, E-08028 Barcelona, Catalonia, Spain.
B Corresponding author: Email: elsa.pastor@upc.edu
International Journal of Wildland Fire 25(10) 1033-1047 https://doi.org/10.1071/WF16031
Submitted: 23 February 2016 Accepted: 14 July 2016 Published: 3 October 2016
25 articles found in Crossref database.
Orthorectification of Helicopter-Borne High Resolution Experimental Burn Observation from Infra Red Handheld Imagers
Paugam Ronan,
Wooster Martin J.,
Mell William E.,
Rochoux Mélanie C.,
Filippi Jean-Baptiste,
Rücker Gernot,
Frauenberger Olaf,
Lorenz Eckehard,
Schroeder Wilfrid,
Main Bruce, Govender Navashni
Remote Sensing. 2021 13(23). p.4913
State-parameter estimation approach for data-driven wildland fire spread modeling: Application to the 2012 RxCADRE S5 field-scale experiment
Zhang Cong,
Collin Annabelle,
Moireau Philippe,
Trouvé Arnaud, Rochoux Mélanie C.
Fire Safety Journal. 2019 105 p.286
Studying firebrands interaction with flat surface of various wood construction materials in laboratory conditions
Kasymov D P,
Tarakanova V A,
Martynov P S, Agafontsev M V
Journal of Physics: Conference Series. 2019 1359(1). p.012092
Data resolution effects on a coupled data driven system for forest fire propagation prediction
Farguell À.,
Cortés A.,
Margalef T.,
Miro J.R., Mercader J.
Procedia Computer Science. 2017 108 p.1562
Automated location of active fire perimeters in aerial infrared imaging using unsupervised edge detectors
Valero M. M.,
Rios O.,
Pastor E., Planas E.
International Journal of Wildland Fire. 2018 27(4). p.241
Flame filtering and perimeter localization of wildfires using aerial thermal imagery
Thermosense: Thermal Infrared Applications XXXIX (2017)
Data-driven surrogate model with latent data assimilation: Application to wildfire forecasting
Cheng Sibo,
Prentice I. Colin,
Huang Yuhan,
Jin Yufang,
Guo Yi-Ke, Arcucci Rossella
Journal of Computational Physics. 2022 464 p.111302
VWETKF for wildfire propagation prediction employing observations with missing values and/or spatial variations of error variance
Zhou Tengjiao,
Ding Long,
Ji Jie, Luo Shengfeng
Proceedings of the Combustion Institute. 2021 38(3). p.5091
A Deep Learning Approach to Downscale Geostationary Satellite Imagery for Decision Support in High Impact Wildfires
McCarthy Nicholas F.,
Tohidi Ali,
Aziz Yawar,
Dennie Matt,
Valero Mario Miguel, Hu Nicole
Forests. 2021 12(3). p.294
Evaluation of a data-driven wildland fire spread forecast model with spatially-distributed parameter estimation in simulations of the FireFlux I field-scale experiment
Zhang Cong,
Rochoux Mélanie,
Tang Wei,
Gollner Michael,
Filippi Jean-Baptiste, Trouvé Arnaud
Fire Safety Journal. 2017 91 p.758
Ensemble transform Kalman filter (ETKF) for large-scale wildland fire spread simulation using FARSITE tool and state estimation method
Zhou Tengjiao,
Ding Long,
Ji Jie,
Li Lin, Huang Weiwei
Fire Safety Journal. 2019 105 p.95
Combined estimation of fire perimeters and fuel adjustment factors in FARSITE for forecasting wildland fire propagation
Zhou Tengjiao,
Ding Long,
Ji Jie,
Yu Longxing, Wang Zheng
Fire Safety Journal. 2020 116 p.103167
Predicting the Dynamics of Forest Fire Spread from Satellite Imaging Using Deep Learning
2020 International Conference on Electronics and Sustainable Communication Systems (ICESC) (2020)
Front shape similarity measure for data-driven simulations of wildland fire spread based on state estimation: Application to the RxCADRE field-scale experiment
Zhang C.,
Collin A.,
Moireau P.,
Trouvé A., Rochoux M.C.
Proceedings of the Combustion Institute. 2019 37(3). p.4201
Learning-based prediction of wildfire spread with real-time rate of spread measurement
Zhai Chunjie,
Zhang Siyu,
Cao Zhaolou, Wang Xinmeng
Combustion and Flame. 2020 215 p.333
Experimental Investigation of the Effect of Heat Flux on the Fire Behavior of Engineered Wood Samples
Kasymov Denis,
Agafontsev Mikhail,
Perminov Vladislav,
Martynov Pavel,
Reyno Vladimir, Loboda Egor
Fire. 2020 3(4). p.61
A Data-Driven Fire Spread Simulator: Validation in Vall-llobrega's Fire
Rios Oriol,
Valero Mario Miguel,
Pastor Elsa, Planas Eulàlia
Frontiers in Mechanical Engineering. 2019 5
Fire behavior modeling for operational decision-making
Cardil Adrián,
Monedero Santiago,
Schag Gavin,
de-Miguel Sergio,
Tapia Mario,
Stoof Cathelijne R.,
Silva Carlos A.,
Mohan Midhun,
Cardil Alba, Ramirez Joaquin
Current Opinion in Environmental Science & Health. 2021 23 p.100291
Multi-UAV Wildfire Perimeter Monitoring System
2023 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM) (2023)
GIS-based integration of spatial and remote sensing data for wildfire monitoring
Earth Resources and Environmental Remote Sensing/GIS Applications IX (2018)
Ignition Resistance of Wood Building Structures Exposed to a Firebrand Shower
Kasymov D. P.,
Agafontsev M. V.,
Perminov V. V.,
Loboda E. L.,
Loboda Yu. A.,
Reino V. V., Orlov K. E.
Combustion, Explosion, and Shock Waves. 2023 59(2). p.206
Real-time wildfire monitoring with a fleet of UAVs
Bailon-Ruiz Rafael,
Bit-Monnot Arthur, Lacroix Simon
Robotics and Autonomous Systems. 2022 152 p.104071
An integrated approach for tactical monitoring and data-driven spread forecasting of wildfires
Valero Mario M.,
Rios Oriol,
Mata Christian,
Pastor Elsa, Planas Eulàlia
Fire Safety Journal. 2017 91 p.835
Thermal Infrared Video Stabilization for Aerial Monitoring of Active Wildfires
Valero Mario Miguel,
Verstockt Steven,
Butler Bret,
Jimenez Daniel,
Rios Oriol,
Mata Christian,
Queen LLoyd,
Pastor Elsa, Planas Eulalia
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2021 14 p.2817
Wildland Fire Spread Modeling Using Convolutional Neural Networks
Hodges Jonathan L., Lattimer Brian Y.
Fire Technology. 2019 55(6). p.2115