Fully automated countrywide monitoring of fuel break maintenance operations
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , |
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 |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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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 |
|
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1799138041340624896 |