Impact of image acquisition lag-time on monitoring short-term postfire spectral dynamics in tropical savannas: the Campos Amazonicos Fire Experiment

Detalhes bibliográficos
Autor(a) principal: Alves, Daniel Borini [UNESP]
Data de Publicação: 2022
Outros Autores: Fidelis, Alessandra [UNESP], Perez-Cabello, Fernando, Alvarado, Swanni T., Conciani, Dhemerson Estevao, Cambraia, Bruno Contursi, Pires da Silveira, Antonio Laffayete, Silva, Thiago Sanna Freire
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1117/1.JRS.16.034507
http://hdl.handle.net/11449/245475
Resumo: The use of optical remote sensing to monitor short-term postfire dynamics in rapidly recovering ecosystems is a complex task, requiring strong spectral separability and high temporal resolution. Thus, characterizing the effects of temporal lag in image acquisitions in relation to fire occurrence is of fundamental importance to improve our understanding of how fire-related environmental and ecological processes are connected to multitemporal spectral information. We used a harmonized series of Sentinel-2A/2B and Landsat-7/8 images paired with a fire experiment specifically designed for remote sensing assessment to evaluate short-term spectral responses of fire in tropical savannas. Our experimental design included strategic geolocation of experimental plots and separate prescribed burnings during the early- and mid-dry seasons. The M-statistic was used to assess spectral separability between burned and control treatments, and the temporal stability was assessed using fire scar latency, a custom statistic adapted to capture scar spectral responses over time. Finally, linear regressions were fitted to explore the association between consumed fuel load and spectral indices. The variation of normalized burn ratio and mid-infrared bispectral index indices stood out with the highest separability (M-statistic > 3) in both treatments and moderate-high association with consumed fuel load (R-2 > 0.54). We observed that burned areas spectral sensitivity depends not only on timing of image acquisition but also on fire season and their interactions with land surface phenology. Our characterization provides a solid benchmark for future experimental assessments of fire spectral responses and provides new insights for improving fire monitoring algorithms. (C) 2022 Society of Photo-Optical Instrumentation Engineers (SPIE)
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spelling Impact of image acquisition lag-time on monitoring short-term postfire spectral dynamics in tropical savannas: the Campos Amazonicos Fire Experimentfire experimentsspectral sensitivityseasonalityLandsatSentinel-2sensor harmonizationtropical savannaThe use of optical remote sensing to monitor short-term postfire dynamics in rapidly recovering ecosystems is a complex task, requiring strong spectral separability and high temporal resolution. Thus, characterizing the effects of temporal lag in image acquisitions in relation to fire occurrence is of fundamental importance to improve our understanding of how fire-related environmental and ecological processes are connected to multitemporal spectral information. We used a harmonized series of Sentinel-2A/2B and Landsat-7/8 images paired with a fire experiment specifically designed for remote sensing assessment to evaluate short-term spectral responses of fire in tropical savannas. Our experimental design included strategic geolocation of experimental plots and separate prescribed burnings during the early- and mid-dry seasons. The M-statistic was used to assess spectral separability between burned and control treatments, and the temporal stability was assessed using fire scar latency, a custom statistic adapted to capture scar spectral responses over time. Finally, linear regressions were fitted to explore the association between consumed fuel load and spectral indices. The variation of normalized burn ratio and mid-infrared bispectral index indices stood out with the highest separability (M-statistic > 3) in both treatments and moderate-high association with consumed fuel load (R-2 > 0.54). We observed that burned areas spectral sensitivity depends not only on timing of image acquisition but also on fire season and their interactions with land surface phenology. Our characterization provides a solid benchmark for future experimental assessments of fire spectral responses and provides new insights for improving fire monitoring algorithms. (C) 2022 Society of Photo-Optical Instrumentation Engineers (SPIE)Funda��o de Amparo � Pesquisa do Estado de S�o Paulo (FAPESP)Conselho Nacional de Pesquisa e DesenvolvimentoUEMA (Programa de FixacAo de Doutor)Universidad de Zaragoza/Centro Universitario de la Defensa de ZaragozaMinisterio de Ciencia e Innovacion/Agencia Estatal de Investigacion de EspanaUniv Estadual Paulista, Inst Biociencias, Dept Biodiversidade, Lab Vegetat Ecol, Rio Claro, BrazilUniv Zaragoza, Dept Geog & Spatial Management, Geoforest IUCA Grp, Zaragoza, SpainUniv Estadual Maranhao, Programa Posgrad Agr & Ambiente, Sao Luis, Maranhao, BrazilUniv Estadual Maranhao, Programa Posgrad Geog Nat & Dinam Espaco, Sao Luis, Maranhao, BrazilAmazon Environm Res Inst, Brasilia, DF, BrazilInst Chico Mendes Conservacao Biodiversidade, Bloco C,Complexo Adm, Brasilia, DF, BrazilUniv Fed Rondonia, Dept Biol, Porto Velho, BrazilUniv Stirling, Fac Nat Sci Biol & Environm Sci, Stirling, ScotlandUniv Estadual Paulista, Inst Biociencias, Dept Biodiversidade, Lab Vegetat Ecol, Rio Claro, BrazilFAPESP: 2019/07357-8FAPESP: 2015/06743-0Conselho Nacional de Pesquisa e Desenvolvimento: 154660/2018-3Conselho Nacional de Pesquisa e Desenvolvimento: 441968/2018-0Conselho Nacional de Pesquisa e Desenvolvimento: 303988/2018-5UEMA (Programa de FixacAo de Doutor): 840/2018Universidad de Zaragoza/Centro Universitario de la Defensa de Zaragoza: UZCUD2020-HUM-02Ministerio de Ciencia e Innovacion/Agencia Estatal de Investigacion de Espana: PID2020-118886RB-I00Spie-soc Photo-optical Instrumentation EngineersUniversidade Estadual Paulista (UNESP)Univ ZaragozaUniv Estadual MaranhaoAmazon Environm Res InstInst Chico Mendes Conservacao BiodiversidadeUniv Fed RondoniaUniv StirlingAlves, Daniel Borini [UNESP]Fidelis, Alessandra [UNESP]Perez-Cabello, FernandoAlvarado, Swanni T.Conciani, Dhemerson EstevaoCambraia, Bruno ContursiPires da Silveira, Antonio LaffayeteSilva, Thiago Sanna Freire2023-07-29T11:56:07Z2023-07-29T11:56:07Z2022-07-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article24http://dx.doi.org/10.1117/1.JRS.16.034507Journal of Applied Remote Sensing. Bellingham: Spie-soc Photo-optical Instrumentation Engineers, v. 16, n. 3, 24 p., 2022.http://hdl.handle.net/11449/24547510.1117/1.JRS.16.034507WOS:000867557000009Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal Of Applied Remote Sensinginfo:eu-repo/semantics/openAccess2023-07-29T11:56:07Zoai:repositorio.unesp.br:11449/245475Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-07-29T11:56:07Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Impact of image acquisition lag-time on monitoring short-term postfire spectral dynamics in tropical savannas: the Campos Amazonicos Fire Experiment
title Impact of image acquisition lag-time on monitoring short-term postfire spectral dynamics in tropical savannas: the Campos Amazonicos Fire Experiment
spellingShingle Impact of image acquisition lag-time on monitoring short-term postfire spectral dynamics in tropical savannas: the Campos Amazonicos Fire Experiment
Alves, Daniel Borini [UNESP]
fire experiments
spectral sensitivity
seasonality
Landsat
Sentinel-2
sensor harmonization
tropical savanna
title_short Impact of image acquisition lag-time on monitoring short-term postfire spectral dynamics in tropical savannas: the Campos Amazonicos Fire Experiment
title_full Impact of image acquisition lag-time on monitoring short-term postfire spectral dynamics in tropical savannas: the Campos Amazonicos Fire Experiment
title_fullStr Impact of image acquisition lag-time on monitoring short-term postfire spectral dynamics in tropical savannas: the Campos Amazonicos Fire Experiment
title_full_unstemmed Impact of image acquisition lag-time on monitoring short-term postfire spectral dynamics in tropical savannas: the Campos Amazonicos Fire Experiment
title_sort Impact of image acquisition lag-time on monitoring short-term postfire spectral dynamics in tropical savannas: the Campos Amazonicos Fire Experiment
author Alves, Daniel Borini [UNESP]
author_facet Alves, Daniel Borini [UNESP]
Fidelis, Alessandra [UNESP]
Perez-Cabello, Fernando
Alvarado, Swanni T.
Conciani, Dhemerson Estevao
Cambraia, Bruno Contursi
Pires da Silveira, Antonio Laffayete
Silva, Thiago Sanna Freire
author_role author
author2 Fidelis, Alessandra [UNESP]
Perez-Cabello, Fernando
Alvarado, Swanni T.
Conciani, Dhemerson Estevao
Cambraia, Bruno Contursi
Pires da Silveira, Antonio Laffayete
Silva, Thiago Sanna Freire
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Univ Zaragoza
Univ Estadual Maranhao
Amazon Environm Res Inst
Inst Chico Mendes Conservacao Biodiversidade
Univ Fed Rondonia
Univ Stirling
dc.contributor.author.fl_str_mv Alves, Daniel Borini [UNESP]
Fidelis, Alessandra [UNESP]
Perez-Cabello, Fernando
Alvarado, Swanni T.
Conciani, Dhemerson Estevao
Cambraia, Bruno Contursi
Pires da Silveira, Antonio Laffayete
Silva, Thiago Sanna Freire
dc.subject.por.fl_str_mv fire experiments
spectral sensitivity
seasonality
Landsat
Sentinel-2
sensor harmonization
tropical savanna
topic fire experiments
spectral sensitivity
seasonality
Landsat
Sentinel-2
sensor harmonization
tropical savanna
description The use of optical remote sensing to monitor short-term postfire dynamics in rapidly recovering ecosystems is a complex task, requiring strong spectral separability and high temporal resolution. Thus, characterizing the effects of temporal lag in image acquisitions in relation to fire occurrence is of fundamental importance to improve our understanding of how fire-related environmental and ecological processes are connected to multitemporal spectral information. We used a harmonized series of Sentinel-2A/2B and Landsat-7/8 images paired with a fire experiment specifically designed for remote sensing assessment to evaluate short-term spectral responses of fire in tropical savannas. Our experimental design included strategic geolocation of experimental plots and separate prescribed burnings during the early- and mid-dry seasons. The M-statistic was used to assess spectral separability between burned and control treatments, and the temporal stability was assessed using fire scar latency, a custom statistic adapted to capture scar spectral responses over time. Finally, linear regressions were fitted to explore the association between consumed fuel load and spectral indices. The variation of normalized burn ratio and mid-infrared bispectral index indices stood out with the highest separability (M-statistic > 3) in both treatments and moderate-high association with consumed fuel load (R-2 > 0.54). We observed that burned areas spectral sensitivity depends not only on timing of image acquisition but also on fire season and their interactions with land surface phenology. Our characterization provides a solid benchmark for future experimental assessments of fire spectral responses and provides new insights for improving fire monitoring algorithms. (C) 2022 Society of Photo-Optical Instrumentation Engineers (SPIE)
publishDate 2022
dc.date.none.fl_str_mv 2022-07-01
2023-07-29T11:56:07Z
2023-07-29T11:56:07Z
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://dx.doi.org/10.1117/1.JRS.16.034507
Journal of Applied Remote Sensing. Bellingham: Spie-soc Photo-optical Instrumentation Engineers, v. 16, n. 3, 24 p., 2022.
http://hdl.handle.net/11449/245475
10.1117/1.JRS.16.034507
WOS:000867557000009
url http://dx.doi.org/10.1117/1.JRS.16.034507
http://hdl.handle.net/11449/245475
identifier_str_mv Journal of Applied Remote Sensing. Bellingham: Spie-soc Photo-optical Instrumentation Engineers, v. 16, n. 3, 24 p., 2022.
10.1117/1.JRS.16.034507
WOS:000867557000009
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Journal Of Applied Remote Sensing
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 24
dc.publisher.none.fl_str_mv Spie-soc Photo-optical Instrumentation Engineers
publisher.none.fl_str_mv Spie-soc Photo-optical Instrumentation Engineers
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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