Predicting the extent of wildfires using remotely sensed soil moisture and temperature trends

©2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to se...

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Autores: Chaparro Danon, David|||0000-0002-5545-6182, Vall-Llossera Ferran, Mercedes Magdalena|||0000-0003-1357-7098, Piles Guillem, Maria|||0000-0002-1169-3098, Camps Carmona, Adriano José|||0000-0002-9514-4992, Rudiger, Christoph, Riera Tatche, Ramón
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:2117/120802
Acceso en línea:https://hdl.handle.net/2117/120802
https://dx.doi.org/10.1109/JSTARS.2016.2571838
Access Level:acceso abierto
Palabra clave:Soil moisture--Measurement
Remote sensing
Wildfires
Soil moisture measurements
Land surface temperature
Burned area
Wildlandurban interface
Mediterranean landscapes
Iberian peninsula
Fire occurences
Portugal
Patterns
Spain
Index
SMOS
Sòls -- Humitat -- Mesurament
Teledetecció
Incendis forestals
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
Àrees temàtiques de la UPC::Desenvolupament humà i sostenible::Medi ambient::Ecologia
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spelling Predicting the extent of wildfires using remotely sensed soil moisture and temperature trendsChaparro Danon, David|||0000-0002-5545-6182Vall-Llossera Ferran, Mercedes Magdalena|||0000-0003-1357-7098Piles Guillem, Maria|||0000-0002-1169-3098Camps Carmona, Adriano José|||0000-0002-9514-4992Rudiger, ChristophRiera Tatche, RamónSoil moisture--MeasurementRemote sensingWildfiresWildfiresRemote sensingSoil moisture measurementsLand surface temperatureBurned areaWildlandurban interfaceMediterranean landscapesIberian peninsulaFire occurencesPortugalPatternsSpainIndexSMOSSòls -- Humitat -- MesuramentTeledeteccióIncendis forestalsÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::TeledeteccióÀrees temàtiques de la UPC::Desenvolupament humà i sostenible::Medi ambient::Ecologia©2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Recent climate trends evidence a rise of temperatures and an increase in the duration and intensity of droughts which is in turn leading to the occurrence of larger wildfires, which threaten the environment as well as human lives and beings. In this context, improved wildfires prediction tools are urgently needed. In this paper, the use of remotely sensed soil moisture data as a key variable in the climate-wildfires relationship is explored. The study is centered in the fires registered in the Iberian Peninsula during the period 2010-2014. Their prior-to-occurrence surface moisture-temperature conditions were analyzed using SMOS-derived soil moisture data and ERA-Interim land surface temperature reanalysis. Results showed that moisture and temperature conditions limited the extent of wildfires, and a potential maximum burned area per moisture-temperature paired values was obtained (R-2=0.43). The model relating fire extent with moisture-temperature preconditions was improved by including information on land cover, regions, and the month of the fire outbreak (R-2=0.68). Model predictions had an accuracy of 83.3% with a maximum error of 40.5 ha. Results were majorly coherent with wildfires behavior in the Iberian Peninsula and reflected the duality between Euro-Siberian and Mediterranean regions in terms of expected burned area. The proposed model has a promising potential for the enhancement of fire prevention services.Peer ReviewedInstitute of Electrical and Electronics Engineers (IEEE)20162016-06-0120182018-09-04journal articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/120802https://dx.doi.org/10.1109/JSTARS.2016.2571838reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/1208022026-05-27T15:37:01Z
dc.title.none.fl_str_mv Predicting the extent of wildfires using remotely sensed soil moisture and temperature trends
title Predicting the extent of wildfires using remotely sensed soil moisture and temperature trends
spellingShingle Predicting the extent of wildfires using remotely sensed soil moisture and temperature trends
Chaparro Danon, David|||0000-0002-5545-6182
Soil moisture--Measurement
Remote sensing
Wildfires
Wildfires
Remote sensing
Soil moisture measurements
Land surface temperature
Burned area
Wildlandurban interface
Mediterranean landscapes
Iberian peninsula
Fire occurences
Portugal
Patterns
Spain
Index
SMOS
Sòls -- Humitat -- Mesurament
Teledetecció
Incendis forestals
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
Àrees temàtiques de la UPC::Desenvolupament humà i sostenible::Medi ambient::Ecologia
title_short Predicting the extent of wildfires using remotely sensed soil moisture and temperature trends
title_full Predicting the extent of wildfires using remotely sensed soil moisture and temperature trends
title_fullStr Predicting the extent of wildfires using remotely sensed soil moisture and temperature trends
title_full_unstemmed Predicting the extent of wildfires using remotely sensed soil moisture and temperature trends
title_sort Predicting the extent of wildfires using remotely sensed soil moisture and temperature trends
dc.creator.none.fl_str_mv Chaparro Danon, David|||0000-0002-5545-6182
Vall-Llossera Ferran, Mercedes Magdalena|||0000-0003-1357-7098
Piles Guillem, Maria|||0000-0002-1169-3098
Camps Carmona, Adriano José|||0000-0002-9514-4992
Rudiger, Christoph
Riera Tatche, Ramón
author Chaparro Danon, David|||0000-0002-5545-6182
author_facet Chaparro Danon, David|||0000-0002-5545-6182
Vall-Llossera Ferran, Mercedes Magdalena|||0000-0003-1357-7098
Piles Guillem, Maria|||0000-0002-1169-3098
Camps Carmona, Adriano José|||0000-0002-9514-4992
Rudiger, Christoph
Riera Tatche, Ramón
author_role author
author2 Vall-Llossera Ferran, Mercedes Magdalena|||0000-0003-1357-7098
Piles Guillem, Maria|||0000-0002-1169-3098
Camps Carmona, Adriano José|||0000-0002-9514-4992
Rudiger, Christoph
Riera Tatche, Ramón
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Soil moisture--Measurement
Remote sensing
Wildfires
Wildfires
Remote sensing
Soil moisture measurements
Land surface temperature
Burned area
Wildlandurban interface
Mediterranean landscapes
Iberian peninsula
Fire occurences
Portugal
Patterns
Spain
Index
SMOS
Sòls -- Humitat -- Mesurament
Teledetecció
Incendis forestals
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
Àrees temàtiques de la UPC::Desenvolupament humà i sostenible::Medi ambient::Ecologia
topic Soil moisture--Measurement
Remote sensing
Wildfires
Wildfires
Remote sensing
Soil moisture measurements
Land surface temperature
Burned area
Wildlandurban interface
Mediterranean landscapes
Iberian peninsula
Fire occurences
Portugal
Patterns
Spain
Index
SMOS
Sòls -- Humitat -- Mesurament
Teledetecció
Incendis forestals
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
Àrees temàtiques de la UPC::Desenvolupament humà i sostenible::Medi ambient::Ecologia
description ©2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
publishDate 2016
dc.date.none.fl_str_mv 2016
2016-06-01
2018
2018-09-04
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/120802
https://dx.doi.org/10.1109/JSTARS.2016.2571838
url https://hdl.handle.net/2117/120802
https://dx.doi.org/10.1109/JSTARS.2016.2571838
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers (IEEE)
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers (IEEE)
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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