Mudanças ambientais no estado de Pernambuco
Autor(a) principal: | |
---|---|
Data de Publicação: | 2020 |
Tipo de documento: | Tese |
Idioma: | por |
Título da fonte: | Biblioteca Digital de Teses e Dissertações da UFRPE |
Texto Completo: | http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/9070 |
Resumo: | Geotechnologies make it possible to analyze ecosystem information with spatial and temporal scope, especially remote sensing. In addition, digital cloud processing allows for increased processing time and data quantity. Therefore, this study aimed to verify spatial-temporal environmental changes through biophysical parameters in the state of Pernambuco in the period from 2000 to 2019 with the use of geotechnologies and digital processing on the cloud. The method consisted of collecting precipitation data from 45 stations throughout the state, from 1987 to 2019. These data were grouped following the cluster analysis methodology with Ward method to define homogeneous precipitation zones yearly. Then, the Rain Anomaly Index (RAI) was identified to determine the variability of rainfall, as well as the dry and the wet period. The analysis of biophysical parameters was carried out with MODIS products for the period from 2000 to 2019 on the Google Earth Engine platform. A representative image of each year was determined for the vegetation indices (NDVI, EVI and SAVI), water index (NDWI), albedo and surface temperature. To determine the image for each year, two different reduction criteria were used: the average and the maximum. Thus, 20 images were generated for each parameter in the total of 60 images for the period from 2000 to 2009 for the criterion of average reduction, and another 60 for maximum reduction, resulting in 120 images. The seasonality of the biophysical parameters was verified in the years considered of extreme precipitation: very dry and very humid. These images allowed for statistics of the images and the representation of the cards to be verified. Analysis of the grouping of homogeneous groups showed the formation of three homogeneous groups, one for the semiarid, another for the coast and another for a transition region between the wild (agreste) and forest zone (zona da mata). A period of recent drought was observed from 2012 to 2016 in all precipitation zones, and more prominent in the region of the semiarid group, due to the low annual precipitation rates. Statistically, there were no changes in biophysical parameters, and concerning the homogeneous precipitation zones, there was a tendency to reduce the vegetation cover in the coastal region of Pernambuco; the other groups showed no changes in parameters. In years of extreme precipitation, there is a difference in the level of responses of biophysical parameters, however the behavior between them is similar. For monitoring rainfall in the state of Pernambuco, the most appropriate biophysical parameter is the NDWI index. In the desertification nucleus of Cabrobó, there seems to be a shift towards the southeast, which requires a more detailed analysis and actions by the government to mitigate its effects. |
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MOURA, Geber Barbosa de AlbuquerqueNASCIMENTO, Cristina RodriguesRIBEIRO, Eberson PessoaGALVÍNCIO, Josiclêda DomicianoLOPES, Pabrício Marcos Oliveirahttp://lattes.cnpq.br/3690303625468223BEZERRA, Alan Cézar2023-06-13T17:03:06Z2020-08-31BEZERRA, Alan Cézar. Mudanças ambientais no estado de Pernambuco. 2020. 145 f. Tese (Programa de Pós-Graduação em Engenharia Agrícola) - Universidade Federal Rural de Pernambuco, Recife.http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/9070Geotechnologies make it possible to analyze ecosystem information with spatial and temporal scope, especially remote sensing. In addition, digital cloud processing allows for increased processing time and data quantity. Therefore, this study aimed to verify spatial-temporal environmental changes through biophysical parameters in the state of Pernambuco in the period from 2000 to 2019 with the use of geotechnologies and digital processing on the cloud. The method consisted of collecting precipitation data from 45 stations throughout the state, from 1987 to 2019. These data were grouped following the cluster analysis methodology with Ward method to define homogeneous precipitation zones yearly. Then, the Rain Anomaly Index (RAI) was identified to determine the variability of rainfall, as well as the dry and the wet period. The analysis of biophysical parameters was carried out with MODIS products for the period from 2000 to 2019 on the Google Earth Engine platform. A representative image of each year was determined for the vegetation indices (NDVI, EVI and SAVI), water index (NDWI), albedo and surface temperature. To determine the image for each year, two different reduction criteria were used: the average and the maximum. Thus, 20 images were generated for each parameter in the total of 60 images for the period from 2000 to 2009 for the criterion of average reduction, and another 60 for maximum reduction, resulting in 120 images. The seasonality of the biophysical parameters was verified in the years considered of extreme precipitation: very dry and very humid. These images allowed for statistics of the images and the representation of the cards to be verified. Analysis of the grouping of homogeneous groups showed the formation of three homogeneous groups, one for the semiarid, another for the coast and another for a transition region between the wild (agreste) and forest zone (zona da mata). A period of recent drought was observed from 2012 to 2016 in all precipitation zones, and more prominent in the region of the semiarid group, due to the low annual precipitation rates. Statistically, there were no changes in biophysical parameters, and concerning the homogeneous precipitation zones, there was a tendency to reduce the vegetation cover in the coastal region of Pernambuco; the other groups showed no changes in parameters. In years of extreme precipitation, there is a difference in the level of responses of biophysical parameters, however the behavior between them is similar. For monitoring rainfall in the state of Pernambuco, the most appropriate biophysical parameter is the NDWI index. In the desertification nucleus of Cabrobó, there seems to be a shift towards the southeast, which requires a more detailed analysis and actions by the government to mitigate its effects.As geotecnologias possibilitam a análise de informações dos ecossistemas com abrangência espacial e temporal, em especial o sensoriamento remoto. Além disso, o processamento digital em nuvem permite ganho em tempo de processamento e quantidade de dados. Portanto, este estudo teve por objetivo verificar as mudanças ambientais espaço-temporais por meio de parâmetros biofísicos no estado de Pernambuco durante o período de 2000 a 2019 com uso de geotecnologias e processamento digital em nuvem. A metodologia do estudo consistiu na obtenção de dados de precipitação em 45 postos ao longo de todo o estado no período de 1987 até 2019. Esses dados foram agrupados seguindo a metodologia de análise de agrupamento com método de Ward para definição das zonas homogêneas de precipitação anual. Posteriormente, identificou-se o Índice de Anomalia de Chuva (IAC) para determinar a variabilidade das chuvas, bem como o período seco e úmido. Realizou-se uma análise dos parâmetros biofísicos com os produtos MODIS para o período de 2000 a 2019 na plataforma do Google Earth Engine. Foi determinada uma imagem representativa de cada ano para os índices de vegetação (NDVI, EVI e SAVI), índice de água (NDWI), albedo e temperatura da superfície. Para a determinação da imagem de cada ano, utilizaram-se dois critérios diferentes de redução: a média e a máxima. Dessa forma, foram geradas 20 imagens para cada parâmetro, totalizando 60 imagens para o período de 2000 a 2009 para o critério de redução média, e mais 60 imagens para redução máxima, totalizando 120 imagens. Verificou-se a sazonalidade dos parâmetros biofísicos nos anos considerados de precipitação extrema: muito seco e muito úmido. Com essas imagens, analisaram-se as estatísticas das imagens e a representação das cartas. Ao analisar o agrupamento dos grupos homogêneos, verificou-se a formação de três grupos homogêneos, um para semiárido, outro para litoral e outro para uma região de transição do agreste e zona da mata. Constatou-se a ocorrência de um período de estiagem recente durante os anos de 2012 até 2016 em todas as zonas de precipitação, sendo mais perceptível na região do grupo do semiárido, devido aos baixos índices de precipitação anual. Estatisticamente, não houve mudanças dos parâmetros biofísicos, e quanto às zonas homogêneas de precipitação, houve uma tendência de diminuição da cobertura vegetal na região do litoral de Pernambuco, para os demais grupos não houve mudanças dos parâmetros. Nos anos com precipitação extrema, há uma diferença no nível de respostas dos parâmetros biofísicos, contudo o comportamento entre eles é semelhante. Para monitoramento da precipitação no estado de Pernambuco, o parâmetro biofísico mais adequado é o índice NDWI. Na região do núcleo de desertificação de Cabrobó, parece haver um deslocamento em sentido sudeste, o que requer uma análise mais detalhada e ações do poder público para mitigar seus efeitos.Submitted by (ana.araujo@ufrpe.br) on 2023-06-13T17:03:06Z No. of bitstreams: 1 Alan Cezar Bezerra.pdf: 3701557 bytes, checksum: 10b10f1d02dd5f1207ee82cdd7f2d196 (MD5)Made available in DSpace on 2023-06-13T17:03:06Z (GMT). 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dc.title.por.fl_str_mv |
Mudanças ambientais no estado de Pernambuco |
title |
Mudanças ambientais no estado de Pernambuco |
spellingShingle |
Mudanças ambientais no estado de Pernambuco BEZERRA, Alan Cézar Sensoriamento remoto Computação em nuvem Degradação ambiental Índice de vegetação Precipitação (Meteorologia) CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA |
title_short |
Mudanças ambientais no estado de Pernambuco |
title_full |
Mudanças ambientais no estado de Pernambuco |
title_fullStr |
Mudanças ambientais no estado de Pernambuco |
title_full_unstemmed |
Mudanças ambientais no estado de Pernambuco |
title_sort |
Mudanças ambientais no estado de Pernambuco |
author |
BEZERRA, Alan Cézar |
author_facet |
BEZERRA, Alan Cézar |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
MOURA, Geber Barbosa de Albuquerque |
dc.contributor.referee1.fl_str_mv |
NASCIMENTO, Cristina Rodrigues |
dc.contributor.referee2.fl_str_mv |
RIBEIRO, Eberson Pessoa |
dc.contributor.referee3.fl_str_mv |
GALVÍNCIO, Josiclêda Domiciano |
dc.contributor.referee4.fl_str_mv |
LOPES, Pabrício Marcos Oliveira |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/3690303625468223 |
dc.contributor.author.fl_str_mv |
BEZERRA, Alan Cézar |
contributor_str_mv |
MOURA, Geber Barbosa de Albuquerque NASCIMENTO, Cristina Rodrigues RIBEIRO, Eberson Pessoa GALVÍNCIO, Josiclêda Domiciano LOPES, Pabrício Marcos Oliveira |
dc.subject.por.fl_str_mv |
Sensoriamento remoto Computação em nuvem Degradação ambiental Índice de vegetação Precipitação (Meteorologia) |
topic |
Sensoriamento remoto Computação em nuvem Degradação ambiental Índice de vegetação Precipitação (Meteorologia) CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA |
dc.subject.cnpq.fl_str_mv |
CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA |
description |
Geotechnologies make it possible to analyze ecosystem information with spatial and temporal scope, especially remote sensing. In addition, digital cloud processing allows for increased processing time and data quantity. Therefore, this study aimed to verify spatial-temporal environmental changes through biophysical parameters in the state of Pernambuco in the period from 2000 to 2019 with the use of geotechnologies and digital processing on the cloud. The method consisted of collecting precipitation data from 45 stations throughout the state, from 1987 to 2019. These data were grouped following the cluster analysis methodology with Ward method to define homogeneous precipitation zones yearly. Then, the Rain Anomaly Index (RAI) was identified to determine the variability of rainfall, as well as the dry and the wet period. The analysis of biophysical parameters was carried out with MODIS products for the period from 2000 to 2019 on the Google Earth Engine platform. A representative image of each year was determined for the vegetation indices (NDVI, EVI and SAVI), water index (NDWI), albedo and surface temperature. To determine the image for each year, two different reduction criteria were used: the average and the maximum. Thus, 20 images were generated for each parameter in the total of 60 images for the period from 2000 to 2009 for the criterion of average reduction, and another 60 for maximum reduction, resulting in 120 images. The seasonality of the biophysical parameters was verified in the years considered of extreme precipitation: very dry and very humid. These images allowed for statistics of the images and the representation of the cards to be verified. Analysis of the grouping of homogeneous groups showed the formation of three homogeneous groups, one for the semiarid, another for the coast and another for a transition region between the wild (agreste) and forest zone (zona da mata). A period of recent drought was observed from 2012 to 2016 in all precipitation zones, and more prominent in the region of the semiarid group, due to the low annual precipitation rates. Statistically, there were no changes in biophysical parameters, and concerning the homogeneous precipitation zones, there was a tendency to reduce the vegetation cover in the coastal region of Pernambuco; the other groups showed no changes in parameters. In years of extreme precipitation, there is a difference in the level of responses of biophysical parameters, however the behavior between them is similar. For monitoring rainfall in the state of Pernambuco, the most appropriate biophysical parameter is the NDWI index. In the desertification nucleus of Cabrobó, there seems to be a shift towards the southeast, which requires a more detailed analysis and actions by the government to mitigate its effects. |
publishDate |
2020 |
dc.date.issued.fl_str_mv |
2020-08-31 |
dc.date.accessioned.fl_str_mv |
2023-06-13T17:03:06Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/doctoralThesis |
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doctoralThesis |
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publishedVersion |
dc.identifier.citation.fl_str_mv |
BEZERRA, Alan Cézar. Mudanças ambientais no estado de Pernambuco. 2020. 145 f. Tese (Programa de Pós-Graduação em Engenharia Agrícola) - Universidade Federal Rural de Pernambuco, Recife. |
dc.identifier.uri.fl_str_mv |
http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/9070 |
identifier_str_mv |
BEZERRA, Alan Cézar. Mudanças ambientais no estado de Pernambuco. 2020. 145 f. Tese (Programa de Pós-Graduação em Engenharia Agrícola) - Universidade Federal Rural de Pernambuco, Recife. |
url |
http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/9070 |
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por |
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por |
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600 600 600 |
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UFRPE |
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Brasil |
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Universidade Federal Rural de Pernambuco |
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