Publicaciones

2026

  • Ventura, P., Carrillo, C., Donaire, A., & Sánchez, E., Optimizing Canopy Cover Evaluations: A Machine Learning Approach Using LiDAR data. Environmental Modelling & Software, Volume 201, June 2026, 106982, DOI: 10.1016/j.envsoft.2026.106982

2025

  • von Ruette, J., Chiva Polvillo, B., & Cataldi, M. (2025). SALUS: Wildfire Data Viewer (v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.17700336
  • Sánchez P., González I., Carrillo C., Cortés A., & Suppi R. (2025) “Remote Sensing AI for Crop Planting in Wildfire Fuel Mapping”. 2025 15906 LNCS, pp. 63–71. DOI: 10.1007/978-3-031-97635-3_8

  • Paugam, R., Sánchez, P., González, I., Carrillo, C., Filippi, JB (2025): A Comparison between FARSITE and FOREFIRE. Journal of Physics: Conference Series 3121 (2025) 012031, DOI: 10.1088/1742-6596/3121/1/012031

  • Sánchez, P., González, I., Cortés, A., Carrillo, C., & Margalef, T. (2025).  Airborne Hyperspectral Data Processing  [Software]. Zenodo. DOI: 10.5281/zenodo.14871861

  • Sánchez, P., González, I., Carrillo, C., Cortés, A., Suppi, R., & Margalef, T. (2025). Zone adaptive fuel mapping for high-resolution wildfire spread forecasting . Scientific Reports, 2025, 15(1), 22254. DOI:  10.1038/s41598-025-06402-1
  • Carrillo, C., Margalef, T., Espinosa, A., & Cortés, A. (2025).  “Edge Computing-driven forest fire simulation: an energy-aware study”, Journal of Computational Science, 88 (2025) 102695, DOI:   10.1016/j.jocs.2025.102605
  • González, I., Carrillo, C., Cortés, A., & Margalef, T., (2025).  “Realistic wildfire growth simulations applying a differentiable parametric representation for the fire front based on Composite Bézier Curves”, Journal of Computational Science, 90 (2025) 102640, DOI:  10.1016/j.jocs.2025.102640

2024

  • Sánchez, P., González, I., Cortés, A., Margalef, T., & Carrillo, C. (2024). “Enhancing high-resolution fuel maps in WUI areas: El Pont de Vilomara fire, a case study“. Journal of Physics: Conference Series, 2885(1), 012064. DOI: 10.1088/1742-6596/2885/1/012064
  • González, I., Carrillo, C., Cortés, A., & Margalef, T. (2024). “Enhancing the Realism of Wildfire Simulations Using Composite Bézier Curves”, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2024, 14832 LNCS, pp. 151–165, DOI:10.1007/978-3-031-63749-0_11
  • Sánchez, P., González, I., Cortés, A., Margalef, T., Suppi, R. & Carrillo, C. (2024). “Automating and accelerating LiDAR data processing with AI”, Proceedings of the Sarteco 2024 Conference, pp. 793-799
  • Carrillo, C., Margalef, T., Espinosa, A., & Cortés, A., (2024). “From HPC to Edge Computing: A New Paradigm in Forest Fire Spread Simulation”, Best Poster Award at the 2024 International Conference on Computational Science (ICCS 2024).

2023

  • González, I., Carrillo, C., Cortés, A., Espinosa, A.,  & Margalef, T. (2023).A new paradigm for forest fire spread prediction: Faster decisions at high resolutionProceedings of the 52nd International Conference on Parallel Processing  (ICPP 2023), 2023, pp. 187–191, DOI:  10.1145/3605731.3608933
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