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Short term forecasting of large scale wind-driven wildfires using thermal imaging and inverse modelling techniques

Autor
Rios, O.; Pastor, E.; Planas, E.
Tipus d'activitat
Capítol de llibre
Llibre
Advances in Forest Fire Research
Pàgina inicial
949
Editorial
Imprensa da Universidade de Coimbra
Data de publicació
2014-10-31
ISBN
978-989-26-0884-6
DOI
https://doi.org/10.14195/978-989-26-0884-6 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/27408 Obrir en finestra nova
URL
https://www.google.es/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&uact=8&ved=0CCIQFjAA&url=http%3A%2F%2Fwww.prefer-copernicus.eu%2Fimages%2FPDF_PUBBLICI%2FAdvances_in_Forest_Fire_Researh-2014_PREFER_doc.pdf&ei=jnIvVdPXN4OhsAHNnYSQBA&usg=AFQjCNFhOI2n29KjluAi00OmA4MFTLQo3Q&sig2=xGUOZJ3CbhIc2DGjQzGJCQ&bvm=bv.91071109,d.bGg Obrir en finestra nova
Resum
A key factor in decision-making process during a wildfire incident is counting on the forecast of how the fire is likely to behave in different fuels, weather conditions and terrain. Wildfire models and simulators attempt to assist fire responders in gaining understanding of the fire behaviour. The main hurdle to overcome when applying such technologies at operational level is the lack of a complete model that describes wildfire governing physics and the trade-off between accuracy and computing ...
Citació
Rios, O.; Pastor, E.; Planas, E. Short term forecasting of large scale wind-driven wildfires using thermal imaging and inverse modelling techniques. A: "Advances in Forest Fire Research". Coimbra: Imprensa da Universidade de Coimbra, 2014.
Grup de recerca
CERTEC - Centre d'Estudis del Risc Tecnològic

Participants