Impact of image acquisition lag-time on monitoring short-term postfire spectral dynamics in tropical savannas: the Campos Amazonicos Fire Experiment
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , |
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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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 |
|
_version_ |
1799965431941824512 |