Severity study in Albinyana (Catalunya) forest fire, using SENTINEL-2 data

A. Guerrero, L. Pineda, V. Palà, J. Corbera

Abstract

The forest fire in Bonastre mountains (an area that has been several times affected by fires) on 06/01/2016, has been studied in order to obtain a Severity index. It is in the municipality of Albinyana, in the Baix Penedès region in Catalonia. The study is considered a starting point for the assessment and monitoring of the dynamics of regeneration of the burned surface. The dNBR index (Delta Normalized Burn Ratio) is obtained from SENTINEL-2 images, and the results are compared with CBI index (Composite Burned Index) obtained from ground survey.

 

This study is a result of the final work of “Màster en Tecnologies de la Informació Geogràfica, 18ª edició”, by the Universidad Autónoma de Barcelona (UAB) codirected by Institut Cartogràfic i Geològic de Catalunya. 


Keywords

dNBR; SENTINEL-2; Severity; forest fire; remote sensing

Full Text:

PDF

References

Danko III, J., Rogan, J., Kulakowski, D., McConnell, M. 2014. Mapping Burn Severity using the Composite Burn Index in an Oak Savannah in Central Massachusetts. The Geographical Bulletin, 55(1), 36.

Key, C.H., Benson, N.C. 2006. Landscape assessment (LA) sampling and analysis methods. USDA For. Serv. Rocky Mt. Res. Stn. Gen. Tech. Rep. RMRSGTR-164. Recuperado el 15/07/2016 de http://www. fs.fed.us/rm/pubs/rmrs_gtr164/rmrs_gtr164_13_ land_assess.pdf

Mataix-Solera, J., Cerdà, A. 2009. Efectos de los incendios forestales sobre los suelos en España. Valencia, Spain: FUEGORED, Cátedra de Divulgació de la Ciència, Universitat de València.

Miller, J. D., Thode, A. E. 2007. Quantifying burn severtity in a heterogeneous landscape with a relative version of the delta Normalized Burn Ratio (dNBR). Remote Sensing of Environment, 109(1), 66-80. https://doi.org/10.1016/j.rse.2006.12.006

Turco, M., Llasat, M. C., von Hardenberg, J., Porvenzale, A. 2014. Climate change impacts on wildfires in a Mediterranean environment. Climate change, 125(3-4), 369-380. https://doi.org/10.1007/ s10584-014-1183-3

Web de la estadística oficial de Catalunya. Recuperado el 15/07/2016 de www.idescat.cat

Abstract Views

174
Metrics Loading ...

Metrics powered by PLOS ALM




This journal is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License

Universitat Politècnica de València

Official Journal of the Spanish Association of Remote Sensing

e-ISSN: 1988-8740    ISSN: 1133-0953           https://doi.org/10.4995/raet