Articles | Volume 23, issue 1
https://doi.org/10.5194/nhess-23-361-2023
https://doi.org/10.5194/nhess-23-361-2023
Research article
 | 
01 Feb 2023
Research article |  | 01 Feb 2023

Characterizing the rate of spread of large wildfires in emerging fire environments of northwestern Europe using Visible Infrared Imaging Radiometer Suite active fire data

Adrián Cardíl, Victor M. Tapia, Santiago Monedero, Tomás Quiñones, Kerryn Little, Cathelijne R. Stoof, Joaquín Ramirez, and Sergio de-Miguel

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Cited articles

Al-Rawi, K. R., Casanova, J. L., and Romo, A.: IFEMS: a new approach for monitoring wildfire evolution with NOAA-AVHRR imagery, Int. J. Remote Sens., 22, 2033–2042, 2001. 
Andela, N., Morton, D. C., Giglio, L., Paugam, R., Chen, Y., Hantson, S., van der Werf, G. R., and Randerson, J. T.: The Global Fire Atlas of individual fire size, duration, speed and direction, Earth Syst. Sci. Data, 11, 529–552, https://doi.org/10.5194/essd-11-529-2019, 2019. 
Andrews, P. L.: How to generate and interpret fire characteristics charts for surface and crown fire behavior, US Department of Agriculture, Forest Service, Rocky Mountain Research Station, ISBN-13 9781480144781, 2011. 
Angelis, A., Bajocco, S., and Ricotta, C.: Phenological variability drives the distribution of wildfires in Sardinia, Landscape Ecol., 27, 1535–1545, https://doi.org/10.1007/s10980-012-9808-2, 2012. 
Barros, A. and Pereira, J.: Wildfire Selectivity for Land Cover Type: Does Size Matter?, PLoS ONE, 9, e84760, https://doi.org/10.1371/journal.pone.0084760, 2014. 
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This study aims to unravel large-fire behavior in northwest Europe, a temperate region with a projected increase in wildfire risk. We propose a new method to identify wildfire rate of spread from satellites because it is important to know periods of elevated fire risk for suppression methods and land management. Results indicate that there is a peak in the area burned and rate of spread in the months of March and April, and there are significant differences for forest-type land covers.
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