Surface moisture and temperature trends anticipate drought conditions linked to wildfire activity in the Iberian Peninsula

In this study, drought conditions involving risk of fires are detected applying SMOS-derived soil moisture data and land surface temperature models. Moisture-temperature (SM-LST) patterns studied between 2010 and 2014 were linked to main fire regimes in the Iberian Peninsula. Most wildfires burned i...

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Detalles Bibliográficos
Autores: Chaparro Danon, David|||0000-0002-5545-6182, Piles Guillem, Maria|||0000-0002-1169-3098, Vall-Llossera Ferran, Mercedes Magdalena|||0000-0003-1357-7098, Camps Carmona, Adriano José|||0000-0002-9514-4992
Tipo de recurso: artículo
Fecha de publicación:2016
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/104223
Acceso en línea:https://hdl.handle.net/2117/104223
https://dx.doi.org/10.5721/EuJRS20164950
Access Level:acceso abierto
Palabra clave:Soil moisture--Measurement
Forest fires
Wildfires
Soil moisture
Surface temperature
Anomalies
SMOS
Fire risk assessment
Sòls -- Humitat -- Mesurament
Incendis forestals
Descripción
Sumario:In this study, drought conditions involving risk of fires are detected applying SMOS-derived soil moisture data and land surface temperature models. Moisture-temperature (SM-LST) patterns studied between 2010 and 2014 were linked to main fire regimes in the Iberian Peninsula. Most wildfires burned in warm and dry soils, but the analysis of pre-fire conditions differed among seasons. Absolute values of SM-LST were useful to detect prone- to-fire conditions during summer and early autumn. Complementarily, SM-LST anomalies were related to droughts and high fire activity in October 2011 and February-March 2012. These episodes were coincident with abnormally anticyclonic atmospheric conditions. Results show that combined trends of new soil moisture space-borne data and temperature models could enhance fire risk assessment capabilities. This contribution should be helpful to face the expected increase of wildfire activity derived from climate change.

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