Correlações de longo alcance em séries temporais de focos de calor nos biomas brasileiros
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Biblioteca Digital de Teses e Dissertações da UFRPE |
Texto Completo: | http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/5349 |
Resumo: | Preserving the environment is a difficult task and depends on appropriate global and regional protectionist policies and characteristics of each region. Vegetation fires, controlled or not, cause direct damage to the environment, with environmental, social, and economic consequences. The detection of hot-pixels in Brazil was initiated by the National Institute for Space Research (INPE) in 1987, being a pioneering and the most comprehensive such initiative in the world, making use of a large number of satellites that generate hundreds of daily images used for mapping the fire outbreaks. In this work we apply the Detrendend Fluctuation Analisys (DFA) method to study correlations in daily temporal series of hot pixels detected in biomes Amazon, Caatinga, Cerrado, Atlantic Forest, Pantanal and Pampa, collected by satellites NOAA-12 and AQUA_M-T during the period 1999-2012. For all the biomes hot pixel series are found to be characterized by persistent long-term correlations, where the Pampa biome demonstrates the weakest correlation. For the Amazonas biome the entire series was analyzed in consecutive six-month periods corresponding to dry season and rainfall season for each year. The dry season (July to December) is characterized by a higher number of fires, with scaling exponent > 0;5 indicating persistent long-term correlations, while the rainy season (January to June) shows fewer fires and weaker persistency in hot-pixels time series. |
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STOSIC, TatijanaSTOSIC, BorkoCUNHA FILHO, MoacyrFIGUEIRÊDO, Pedro Hugo dehttp://lattes.cnpq.br/6744452528567296COSTA, Simara Lúcia Lemos da2016-08-16T13:39:35Z2014-07-17COSTA, Simara Lúcia Lemos da. Correlações de longo alcance em séries temporais de focos de calor nos biomas brasileiros. 2014. 56 f. Dissertação (Programa de Pós-Graduação em Biometria e Estatística Aplicada) - Universidade Federal Rural de Pernambuco, Recife.http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/5349Preserving the environment is a difficult task and depends on appropriate global and regional protectionist policies and characteristics of each region. Vegetation fires, controlled or not, cause direct damage to the environment, with environmental, social, and economic consequences. The detection of hot-pixels in Brazil was initiated by the National Institute for Space Research (INPE) in 1987, being a pioneering and the most comprehensive such initiative in the world, making use of a large number of satellites that generate hundreds of daily images used for mapping the fire outbreaks. In this work we apply the Detrendend Fluctuation Analisys (DFA) method to study correlations in daily temporal series of hot pixels detected in biomes Amazon, Caatinga, Cerrado, Atlantic Forest, Pantanal and Pampa, collected by satellites NOAA-12 and AQUA_M-T during the period 1999-2012. For all the biomes hot pixel series are found to be characterized by persistent long-term correlations, where the Pampa biome demonstrates the weakest correlation. For the Amazonas biome the entire series was analyzed in consecutive six-month periods corresponding to dry season and rainfall season for each year. The dry season (July to December) is characterized by a higher number of fires, with scaling exponent > 0;5 indicating persistent long-term correlations, while the rainy season (January to June) shows fewer fires and weaker persistency in hot-pixels time series.Preservar o meio ambiente é uma tarefa difícil e depende de políticas protecionistas globais e regionais adequadas às características de cada região. Queimadas, praticadas de forma controlada ou não, causam danos diretos ao meio ambiente, com consequências ambientais, sociais, econômicas, etc. A detecção de focos de calor no Brasil foi iniciada pelo Instituto Nacional de Pesquisas Espaciais (INPE) em 1987, a pioneira e mais completa no mundo, fazendo uso de um maior número de satélites que geram centenas de imagens diárias usadas para mapeamento dos focos. Neste trabalho foi utilizada a análise de Detrendend Fluctuation Analisys (DFA) para estudar as correlações em séries temporais de focos de calor diariamente detectados nos biomas Amazônia, Caatinga, Cerrado, Mata Atlântica, Pampa e Pantanal, pelos satélites de referência NOAA-12 e AQUA_M-T durante o período de 1999-2012. Todos os Biomas apresentaram séries de focos de calor indicando correlações de longo alcance persistentes. O Bioma Pampa foi o que obteve menor correlação. No Bioma Amazônia foi analisada toda a série em períodos consecutivos de seis meses correspondentes a estação de seca e de chuva para cada ano. A estação seca (julho a dezembro) caracteriza-se por apresentar maior número de incêndios, com expoente de escala > 0;5 indicando correlações de longo alcance persistentes, enquanto que a estação chuvosa (janeiro a junho) por apresentar menor número de incêndios e menor persistência nas séries de focos de calor.Submitted by (ana.araujo@ufrpe.br) on 2016-08-16T13:39:34Z No. of bitstreams: 1 Simara Lucia Lemos da Costa.pdf: 2251567 bytes, checksum: 5648bf173503029f7a01496e96697b30 (MD5)Made available in DSpace on 2016-08-16T13:39:35Z (GMT). No. of bitstreams: 1 Simara Lucia Lemos da Costa.pdf: 2251567 bytes, checksum: 5648bf173503029f7a01496e96697b30 (MD5) Previous issue date: 2014-07-17Conselho Nacional de Pesquisa e Desenvolvimento Científico e Tecnológico - CNPqapplication/pdfporUniversidade Federal Rural de PernambucoPrograma de Pós-Graduação em Biometria e Estatística AplicadaUFRPEBrasilDepartamento de Estatística e InformáticaBiomaQueimadaFocos de calorVegetation fireHotspotsDetrended Fluctuation AnalysisBiomeCIENCIAS EXATAS E DA TERRA::PROBABILIDADE E ESTATISTICACorrelações de longo alcance em séries temporais de focos de calor nos biomas brasileirosinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesis768382242446187918600600600600-6774555140396120501-5836407828185143517-2555911436985713659info:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da UFRPEinstname:Universidade Federal Rural de Pernambuco (UFRPE)instacron:UFRPEORIGINALSimara Lucia Lemos da Costa.pdfSimara Lucia Lemos da Costa.pdfapplication/pdf2251567http://www.tede2.ufrpe.br:8080/tede2/bitstream/tede2/5349/2/Simara+Lucia+Lemos+da+Costa.pdf5648bf173503029f7a01496e96697b30MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-82165http://www.tede2.ufrpe.br:8080/tede2/bitstream/tede2/5349/1/license.txtbd3efa91386c1718a7f26a329fdcb468MD51tede2/53492023-11-22 10:23:27.075oai:tede2: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Biblioteca Digital de Teses e Dissertaçõeshttp://www.tede2.ufrpe.br:8080/tede/PUBhttp://www.tede2.ufrpe.br:8080/oai/requestbdtd@ufrpe.br ||bdtd@ufrpe.bropendoar:2024-05-28T12:32:56.051796Biblioteca Digital de Teses e Dissertações da UFRPE - Universidade Federal Rural de Pernambuco (UFRPE)false |
dc.title.por.fl_str_mv |
Correlações de longo alcance em séries temporais de focos de calor nos biomas brasileiros |
title |
Correlações de longo alcance em séries temporais de focos de calor nos biomas brasileiros |
spellingShingle |
Correlações de longo alcance em séries temporais de focos de calor nos biomas brasileiros COSTA, Simara Lúcia Lemos da Bioma Queimada Focos de calor Vegetation fire Hotspots Detrended Fluctuation Analysis Biome CIENCIAS EXATAS E DA TERRA::PROBABILIDADE E ESTATISTICA |
title_short |
Correlações de longo alcance em séries temporais de focos de calor nos biomas brasileiros |
title_full |
Correlações de longo alcance em séries temporais de focos de calor nos biomas brasileiros |
title_fullStr |
Correlações de longo alcance em séries temporais de focos de calor nos biomas brasileiros |
title_full_unstemmed |
Correlações de longo alcance em séries temporais de focos de calor nos biomas brasileiros |
title_sort |
Correlações de longo alcance em séries temporais de focos de calor nos biomas brasileiros |
author |
COSTA, Simara Lúcia Lemos da |
author_facet |
COSTA, Simara Lúcia Lemos da |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
STOSIC, Tatijana |
dc.contributor.advisor-co1.fl_str_mv |
STOSIC, Borko |
dc.contributor.referee1.fl_str_mv |
CUNHA FILHO, Moacyr |
dc.contributor.referee2.fl_str_mv |
FIGUEIRÊDO, Pedro Hugo de |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/6744452528567296 |
dc.contributor.author.fl_str_mv |
COSTA, Simara Lúcia Lemos da |
contributor_str_mv |
STOSIC, Tatijana STOSIC, Borko CUNHA FILHO, Moacyr FIGUEIRÊDO, Pedro Hugo de |
dc.subject.por.fl_str_mv |
Bioma Queimada Focos de calor Vegetation fire Hotspots |
topic |
Bioma Queimada Focos de calor Vegetation fire Hotspots Detrended Fluctuation Analysis Biome CIENCIAS EXATAS E DA TERRA::PROBABILIDADE E ESTATISTICA |
dc.subject.eng.fl_str_mv |
Detrended Fluctuation Analysis Biome |
dc.subject.cnpq.fl_str_mv |
CIENCIAS EXATAS E DA TERRA::PROBABILIDADE E ESTATISTICA |
description |
Preserving the environment is a difficult task and depends on appropriate global and regional protectionist policies and characteristics of each region. Vegetation fires, controlled or not, cause direct damage to the environment, with environmental, social, and economic consequences. The detection of hot-pixels in Brazil was initiated by the National Institute for Space Research (INPE) in 1987, being a pioneering and the most comprehensive such initiative in the world, making use of a large number of satellites that generate hundreds of daily images used for mapping the fire outbreaks. In this work we apply the Detrendend Fluctuation Analisys (DFA) method to study correlations in daily temporal series of hot pixels detected in biomes Amazon, Caatinga, Cerrado, Atlantic Forest, Pantanal and Pampa, collected by satellites NOAA-12 and AQUA_M-T during the period 1999-2012. For all the biomes hot pixel series are found to be characterized by persistent long-term correlations, where the Pampa biome demonstrates the weakest correlation. For the Amazonas biome the entire series was analyzed in consecutive six-month periods corresponding to dry season and rainfall season for each year. The dry season (July to December) is characterized by a higher number of fires, with scaling exponent > 0;5 indicating persistent long-term correlations, while the rainy season (January to June) shows fewer fires and weaker persistency in hot-pixels time series. |
publishDate |
2014 |
dc.date.issued.fl_str_mv |
2014-07-17 |
dc.date.accessioned.fl_str_mv |
2016-08-16T13:39:35Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
COSTA, Simara Lúcia Lemos da. Correlações de longo alcance em séries temporais de focos de calor nos biomas brasileiros. 2014. 56 f. Dissertação (Programa de Pós-Graduação em Biometria e Estatística Aplicada) - Universidade Federal Rural de Pernambuco, Recife. |
dc.identifier.uri.fl_str_mv |
http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/5349 |
identifier_str_mv |
COSTA, Simara Lúcia Lemos da. Correlações de longo alcance em séries temporais de focos de calor nos biomas brasileiros. 2014. 56 f. Dissertação (Programa de Pós-Graduação em Biometria e Estatística Aplicada) - Universidade Federal Rural de Pernambuco, Recife. |
url |
http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/5349 |
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por |
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por |
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768382242446187918 |
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600 600 600 600 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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Universidade Federal Rural de Pernambuco |
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Programa de Pós-Graduação em Biometria e Estatística Aplicada |
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UFRPE |
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Universidade Federal Rural de Pernambuco |
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