Remote Sensing Advances in Fire Science: From Fire Predictors to Post-Fire Monitoring

[EN] Fire activity has significant implications for ecological communities, biogeochemical cycles, climate, and human lives and assets. Approximately over half of the Earth’s land surface is susceptible to fire, with around 3% experiencing annual burning according to coarse-resolution satellites, a...

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Detalhes bibliográficos
Autores: Fernández García, Víctor, Calvo Galván, María Leonor, Suárez Seoane, Susana, Marcos Porras, Elena María
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Recursos:Universidad de León
Repositorio:BULERIA. Repositorio Institucional de la Universidad de León
OAI Identifier:oai:dnet:buleria_____::d07e40780a77064903cb3518891133e7
Acesso em linha:https://www.mdpi.com/2072-4292/15/20/4930
https://hdl.handle.net/10612/28346
Access Level:acceso abierto
Palavra-chave:Ingeniería forestal
Remote sensing
Fire science
Fire predictors
Post-fire monitoring
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spelling Remote Sensing Advances in Fire Science: From Fire Predictors to Post-Fire MonitoringFernández García, VíctorCalvo Galván, María LeonorSuárez Seoane, SusanaMarcos Porras, Elena MaríaIngeniería forestalRemote sensingFire scienceFire predictorsPost-fire monitoring[EN] Fire activity has significant implications for ecological communities, biogeochemical cycles, climate, and human lives and assets. Approximately over half of the Earth’s land surface is susceptible to fire, with around 3% experiencing annual burning according to coarse-resolution satellites, a value that is probably much higher according to recent estimates from finer satellite imagery. Because of the vast extent of land burned over the world, landscape fires release approximately 23% of the global CO2 emitted annually from fossil fuels, modify Earth’s energy fluxes through changes in surface albedo, and have an enormous influence on human health and the economy. Fires also have a large influence on local ecosystems, affecting the ecosystem services provided to local communities. Thus, fires are a relevant phenomenon with an enormous area of impact every yearSIMDPIIngenieria AgroforestalEscuela de Ingeniería Agraria y Forestal2023info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://www.mdpi.com/2072-4292/15/20/4930https://hdl.handle.net/10612/28346reponame:BULERIA. Repositorio Institucional de la Universidad de Leóninstname:Universidad de LeónIngléshttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:dnet:buleria_____::d07e40780a77064903cb3518891133e72026-06-24T12:43:27Z
dc.title.none.fl_str_mv Remote Sensing Advances in Fire Science: From Fire Predictors to Post-Fire Monitoring
title Remote Sensing Advances in Fire Science: From Fire Predictors to Post-Fire Monitoring
spellingShingle Remote Sensing Advances in Fire Science: From Fire Predictors to Post-Fire Monitoring
Fernández García, Víctor
Ingeniería forestal
Remote sensing
Fire science
Fire predictors
Post-fire monitoring
title_short Remote Sensing Advances in Fire Science: From Fire Predictors to Post-Fire Monitoring
title_full Remote Sensing Advances in Fire Science: From Fire Predictors to Post-Fire Monitoring
title_fullStr Remote Sensing Advances in Fire Science: From Fire Predictors to Post-Fire Monitoring
title_full_unstemmed Remote Sensing Advances in Fire Science: From Fire Predictors to Post-Fire Monitoring
title_sort Remote Sensing Advances in Fire Science: From Fire Predictors to Post-Fire Monitoring
dc.creator.none.fl_str_mv Fernández García, Víctor
Calvo Galván, María Leonor
Suárez Seoane, Susana
Marcos Porras, Elena María
author Fernández García, Víctor
author_facet Fernández García, Víctor
Calvo Galván, María Leonor
Suárez Seoane, Susana
Marcos Porras, Elena María
author_role author
author2 Calvo Galván, María Leonor
Suárez Seoane, Susana
Marcos Porras, Elena María
author2_role author
author
author
dc.contributor.none.fl_str_mv Ingenieria Agroforestal
Escuela de Ingeniería Agraria y Forestal
dc.subject.none.fl_str_mv Ingeniería forestal
Remote sensing
Fire science
Fire predictors
Post-fire monitoring
topic Ingeniería forestal
Remote sensing
Fire science
Fire predictors
Post-fire monitoring
description [EN] Fire activity has significant implications for ecological communities, biogeochemical cycles, climate, and human lives and assets. Approximately over half of the Earth’s land surface is susceptible to fire, with around 3% experiencing annual burning according to coarse-resolution satellites, a value that is probably much higher according to recent estimates from finer satellite imagery. Because of the vast extent of land burned over the world, landscape fires release approximately 23% of the global CO2 emitted annually from fossil fuels, modify Earth’s energy fluxes through changes in surface albedo, and have an enormous influence on human health and the economy. Fires also have a large influence on local ecosystems, affecting the ecosystem services provided to local communities. Thus, fires are a relevant phenomenon with an enormous area of impact every year
publishDate 2023
dc.date.none.fl_str_mv 2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://www.mdpi.com/2072-4292/15/20/4930
https://hdl.handle.net/10612/28346
url https://www.mdpi.com/2072-4292/15/20/4930
https://hdl.handle.net/10612/28346
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:BULERIA. Repositorio Institucional de la Universidad de León
instname:Universidad de León
instname_str Universidad de León
reponame_str BULERIA. Repositorio Institucional de la Universidad de León
collection BULERIA. Repositorio Institucional de la Universidad de León
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,228081

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