TFM de inteligencia artificial para predecir la severidad en incendios forestales utilizando datos históricos y modelos predictivos avanzados.
Anisotropic smoothing for change-point regression data
Attention-based spatiotemporal ConvLSTM models for wildfire spread prediction. Pairwise and patchwise self-attention mechanisms capture local fire front dynamics and long-range spotting effects. Validated on simulated percolation data and VIIRS satellite observations (California 2012–2020).
Wildfire spread forecasting that feeds the evacuation router: Rothermel cellular automata, hybrid bias correction, Dijkstra around roads predicted to burn, and submodular crew placement. Naive routing traps 27% of residents; forecast-aware traps none.
PyroWISE — open scientific documentation for the wildfire-spread simulation engine inside TerraWise. Methods open, engine commercial.
Add a description, image, and links to the fire-spread topic page so that developers can more easily learn about it.
To associate your repository with the fire-spread topic, visit your repo's landing page and select "manage topics."