Fully automated countrywide monitoring of fuel break maintenance operations

Detalhes bibliográficos
Autor(a) principal: Aubard, Valentine
Data de Publicação: 2020
Outros Autores: Pereira-Pires, João E., Campagnolo, Manuel L., Pereira, José M. C., Mora, André, Silva, João M. N.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/116518
Resumo: PTDC/CCI-COM/30344/2017 PCIF/SSI/0102/2017 UIDB/00239/2020 UIDB/00066/2020
id RCAP_36f3e0d64afab46368a825f925f39f4d
oai_identifier_str oai:run.unl.pt:10362/116518
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Fully automated countrywide monitoring of fuel break maintenance operationsChange detectionFuel loadRemote sensingSentinel-2Time seriesVegetation monitoringWildfire preventionEarth and Planetary Sciences(all)SDG 15 - Life on LandPTDC/CCI-COM/30344/2017 PCIF/SSI/0102/2017 UIDB/00239/2020 UIDB/00066/2020Fuel break (FB) networks are strategic locations for fire control and suppression. In order to be effective for wildfire control, they need to be maintained through regular interventions to reduce fuel loads. In this paper, we describe a monitoring system relying on Earth observations to detect fuel reduction inside the FB network being implemented in Portugal. Two fast automated pixel-based methodologies for monthly monitoring of fuel removals in FB are developed and compared. The first method (M1) is a classical supervised classification using the difference and postdisturbance image of monthly image composites. To take into account the impact of different land cover and phenology in the detection of fuel treatments, a second method (M2) based on an innovative statistical change detection approach was developed. M2 explores time series of vegetation indices and does not require training data or user-defined thresholds. The two algorithms were applied to Sentinel-2 10 m bands and fully processed in the cloud-based platform Google Earth Engine. Overall, the unsupervised M2, which is based on a Welch t-test of two moving window averages, gives better results than the supervised M1 and is suitable for an automated countrywide fuel treatment detection. For both methods, two vegetation indices, the Modified Excess of Green and the Normalized Difference Vegetation Index, were compared and exhibited similar performances.CTS - Centro de Tecnologia e SistemasUNINOVA-Instituto de Desenvolvimento de Novas TecnologiasRUNAubard, ValentinePereira-Pires, João E.Campagnolo, Manuel L.Pereira, José M. C.Mora, AndréSilva, João M. N.2021-04-30T22:44:19Z2020-09-052020-09-05T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/116518eng2072-4292PURE: 28851202https://doi.org/10.3390/RS12182879info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:59:08Zoai:run.unl.pt:10362/116518Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:43:06.896390Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Fully automated countrywide monitoring of fuel break maintenance operations
title Fully automated countrywide monitoring of fuel break maintenance operations
spellingShingle Fully automated countrywide monitoring of fuel break maintenance operations
Aubard, Valentine
Change detection
Fuel load
Remote sensing
Sentinel-2
Time series
Vegetation monitoring
Wildfire prevention
Earth and Planetary Sciences(all)
SDG 15 - Life on Land
title_short Fully automated countrywide monitoring of fuel break maintenance operations
title_full Fully automated countrywide monitoring of fuel break maintenance operations
title_fullStr Fully automated countrywide monitoring of fuel break maintenance operations
title_full_unstemmed Fully automated countrywide monitoring of fuel break maintenance operations
title_sort Fully automated countrywide monitoring of fuel break maintenance operations
author Aubard, Valentine
author_facet Aubard, Valentine
Pereira-Pires, João E.
Campagnolo, Manuel L.
Pereira, José M. C.
Mora, André
Silva, João M. N.
author_role author
author2 Pereira-Pires, João E.
Campagnolo, Manuel L.
Pereira, José M. C.
Mora, André
Silva, João M. N.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv CTS - Centro de Tecnologia e Sistemas
UNINOVA-Instituto de Desenvolvimento de Novas Tecnologias
RUN
dc.contributor.author.fl_str_mv Aubard, Valentine
Pereira-Pires, João E.
Campagnolo, Manuel L.
Pereira, José M. C.
Mora, André
Silva, João M. N.
dc.subject.por.fl_str_mv Change detection
Fuel load
Remote sensing
Sentinel-2
Time series
Vegetation monitoring
Wildfire prevention
Earth and Planetary Sciences(all)
SDG 15 - Life on Land
topic Change detection
Fuel load
Remote sensing
Sentinel-2
Time series
Vegetation monitoring
Wildfire prevention
Earth and Planetary Sciences(all)
SDG 15 - Life on Land
description PTDC/CCI-COM/30344/2017 PCIF/SSI/0102/2017 UIDB/00239/2020 UIDB/00066/2020
publishDate 2020
dc.date.none.fl_str_mv 2020-09-05
2020-09-05T00:00:00Z
2021-04-30T22:44:19Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/116518
url http://hdl.handle.net/10362/116518
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2072-4292
PURE: 28851202
https://doi.org/10.3390/RS12182879
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799138041340624896

Registros relacionados