Dinâmica espectral da soja por meio do NDVI utilizando sensores orbital e terrestre

Detalhes bibliográficos
Autor(a) principal: Justina, Diego Domingos Della
Data de Publicação: 2014
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Biblioteca Digital de Teses e Dissertações do UNIOESTE
Texto Completo: http://tede.unioeste.br:8080/tede/handle/tede/2650
Resumo: Soybeans are an important agricultural crop, with expressive economical participation; thus, it is necessary the adoption of practices that enable crop forecasting, contributing for a better market position of this commodity. Remote sensing methodologies for monitoring production through are highly effective, due to their low cost, large-scale coverage and smaller time consumption. One of these techniques used is the NDVI Normalized Difference Vegetation Index, which has been employed on a large scale through use of the MODIS sensor. However, orbital sensors are subject to the influence of atmospheric factors and the culture dynamics, which may have different spectral behaviors among cultivars of the same species. In this context, non-orbital spectroscopy would be a viable solution for studying the existence of variations in the spectral behavior of any crop without further interference from exogenous factors. Thus, the aim of this work was to evaluate the temporal profiles of NDVI obtained with orbital MODIS sensor and non-orbital sensor GreenSeeker during the soybean development cycle. The study was conducted in two plots (T1 and T2) located on the Central Cooperative of Agricultural Research - COODETEC, in Cascavel State of Paraná. Samples of NDVI of thirteen pixels, three of them called pure pixels and ten non pure pixels, were taken at irregular intervals, but representing crop cycle. The data obtained by the non-orbital sensor were analyzed by exploratory analysis. Means of both orbital and non-orbital sensors were compared by test-t at 5% significance level. The means comparison test demonstrated the data obtained through the two sensors to be statistically different. However, both showed good dynamic range and sensibility to monitor and access spatial and temporal variations in the vegetation.
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spelling Mercante, EriveltoCPF:01790206928http://lattes.cnpq.br/4061800207647478Johann, Jerry Adrianihttp://lattes.cnpq.br/3499704308301708Opazo, Miguel Angel UribeCPF:13761312857http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4746318E8Boas, Marcio Antonio VilasCPF:55200834600http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4723608D4&dataRevisao=nullMaggi, Marcio FurlanCPF:01673923950http://lattes.cnpq.br/8677221771738301Bazzi, Claudio LeonesCPF:00605320926http://lattes.cnpq.br/2170981286370303CPF:05057455931http://lattes.cnpq.br/0780966755422728Justina, Diego Domingos Della2017-07-10T19:23:49Z2015-08-202014-01-30JUSTINA, Diego Domingos Della. SOYBEAN SPECTRAL DYNAMICS THROUGH NDVI USING ORBITAL AND TERRESTRIAL SENSORS. 2014. 82 f. Dissertação (Mestrado em Engenharia) - Universidade Estadual do Oeste do Parana, Cascavel, 2014.http://tede.unioeste.br:8080/tede/handle/tede/2650Soybeans are an important agricultural crop, with expressive economical participation; thus, it is necessary the adoption of practices that enable crop forecasting, contributing for a better market position of this commodity. Remote sensing methodologies for monitoring production through are highly effective, due to their low cost, large-scale coverage and smaller time consumption. One of these techniques used is the NDVI Normalized Difference Vegetation Index, which has been employed on a large scale through use of the MODIS sensor. However, orbital sensors are subject to the influence of atmospheric factors and the culture dynamics, which may have different spectral behaviors among cultivars of the same species. In this context, non-orbital spectroscopy would be a viable solution for studying the existence of variations in the spectral behavior of any crop without further interference from exogenous factors. Thus, the aim of this work was to evaluate the temporal profiles of NDVI obtained with orbital MODIS sensor and non-orbital sensor GreenSeeker during the soybean development cycle. The study was conducted in two plots (T1 and T2) located on the Central Cooperative of Agricultural Research - COODETEC, in Cascavel State of Paraná. Samples of NDVI of thirteen pixels, three of them called pure pixels and ten non pure pixels, were taken at irregular intervals, but representing crop cycle. The data obtained by the non-orbital sensor were analyzed by exploratory analysis. Means of both orbital and non-orbital sensors were compared by test-t at 5% significance level. The means comparison test demonstrated the data obtained through the two sensors to be statistically different. However, both showed good dynamic range and sensibility to monitor and access spatial and temporal variations in the vegetation.Uma vez que a soja é uma importante cultura agrícola, com expressiva participação econômica, se faz necessário a adoção de práticas que viabilizem a previsão de safra, contribuindo para melhor posicionamento da commodity no mercado. Metodologias de acompanhamento de produção por sensoriamento remoto orbital são alternativas eficazes devido ao baixo custo, grande escala de abrangência e rapidez. Uma das técnicas de acompanhamento agrícola empregada são os índices de vegetação, dentre eles o NDVI Índice de Vegetação por Diferença Normalizada, que vem sendo empregado em larga escala por meio do sensor MODIS. Porém, sensores orbitais estão sujeitos à influência dos fatores atmosféricos e da dinâmica das culturas, que podem apresentar diferentes comportamentos espectrais entre cultivares de uma mesma espécie. Nesse contexto, a espectroscopia terrestre, (não-orbital), pode ser uma solução viável para o estudo da existência de variações no comportamento espectral de qualquer cultura agrícola, sem maiores interferências de fatores exógenos. Sendo assim, o objetivo deste trabalho foi avaliar os perfis temporais de NDVI obtidos com o sensor orbital MODIS e o sensor não-orbital GreenSeeker durante o ciclo de desenvolvimento da soja. O estudo foi conduzido em dois talhões (T1 e T2) localizados nas dependências da Cooperativa Central de Pesquisa Agrícola COODETEC, no município de Cascavel PR. Amostras de NDVI de treze pixels, sendo três puros e dez não puros, foram tomadas em intervalos não regulares, porém, representativos ao desenvolvimento da cultura. Os dados obtidos por meio do sensor não-orbital foram submetidos a análise exploratória. As médias de ambos os sensores orbital e não-orbital foram comparadas pelo teste-t a 5% de significância. O teste de comparação de médias demonstrou que os dados obtidos entre os dois sensores são estatisticamente diferentes. No entanto, ambos demonstraram um bom alcance dinâmico e sensibilidade para monitorar e acessar variações espaciais e temporais da vegetação.Made available in DSpace on 2017-07-10T19:23:49Z (GMT). No. of bitstreams: 1 _diego_della_justina.pdf: 3123259 bytes, checksum: 7482af0ac4e10eb7e14854f470ff3593 (MD5) Previous issue date: 2014-01-30application/pdfporUniversidade Estadual do Oeste do ParanaPrograma de Pós-Graduação "Stricto Sensu" em Engenharia AgrícolaUNIOESTEBREngenhariaSensoriamento remotoPerfis temporaisNDVI/MODISGreenSeeker.Remote sensingTemporal profilesNDVI/MODISGreenSeekerCNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLADinâmica espectral da soja por meio do NDVI utilizando sensores orbital e terrestreSOYBEAN SPECTRAL DYNAMICS THROUGH NDVI USING ORBITAL AND TERRESTRIAL SENSORSinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações do UNIOESTEinstname:Universidade Estadual do Oeste do Paraná (UNIOESTE)instacron:UNIOESTEORIGINAL_diego_della_justina.pdfapplication/pdf3123259http://tede.unioeste.br:8080/tede/bitstream/tede/2650/1/_diego_della_justina.pdf7482af0ac4e10eb7e14854f470ff3593MD51tede/26502017-07-10 16:23:49.102oai:tede.unioeste.br:tede/2650Biblioteca Digital de Teses e Dissertaçõeshttp://tede.unioeste.br/PUBhttp://tede.unioeste.br/oai/requestbiblioteca.repositorio@unioeste.bropendoar:2017-07-10T19:23:49Biblioteca Digital de Teses e Dissertações do UNIOESTE - Universidade Estadual do Oeste do Paraná (UNIOESTE)false
dc.title.por.fl_str_mv Dinâmica espectral da soja por meio do NDVI utilizando sensores orbital e terrestre
dc.title.alternative.eng.fl_str_mv SOYBEAN SPECTRAL DYNAMICS THROUGH NDVI USING ORBITAL AND TERRESTRIAL SENSORS
title Dinâmica espectral da soja por meio do NDVI utilizando sensores orbital e terrestre
spellingShingle Dinâmica espectral da soja por meio do NDVI utilizando sensores orbital e terrestre
Justina, Diego Domingos Della
Sensoriamento remoto
Perfis temporais
NDVI/MODIS
GreenSeeker.
Remote sensing
Temporal profiles
NDVI/MODIS
GreenSeeker
CNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA
title_short Dinâmica espectral da soja por meio do NDVI utilizando sensores orbital e terrestre
title_full Dinâmica espectral da soja por meio do NDVI utilizando sensores orbital e terrestre
title_fullStr Dinâmica espectral da soja por meio do NDVI utilizando sensores orbital e terrestre
title_full_unstemmed Dinâmica espectral da soja por meio do NDVI utilizando sensores orbital e terrestre
title_sort Dinâmica espectral da soja por meio do NDVI utilizando sensores orbital e terrestre
author Justina, Diego Domingos Della
author_facet Justina, Diego Domingos Della
author_role author
dc.contributor.advisor1.fl_str_mv Mercante, Erivelto
dc.contributor.advisor1ID.fl_str_mv CPF:01790206928
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/4061800207647478
dc.contributor.advisor-co1.fl_str_mv Johann, Jerry Adriani
dc.contributor.advisor-co1Lattes.fl_str_mv http://lattes.cnpq.br/3499704308301708
dc.contributor.advisor-co2.fl_str_mv Opazo, Miguel Angel Uribe
dc.contributor.advisor-co2ID.fl_str_mv CPF:13761312857
dc.contributor.advisor-co2Lattes.fl_str_mv http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4746318E8
dc.contributor.referee1.fl_str_mv Boas, Marcio Antonio Vilas
dc.contributor.referee1ID.fl_str_mv CPF:55200834600
dc.contributor.referee1Lattes.fl_str_mv http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4723608D4&dataRevisao=null
dc.contributor.referee2.fl_str_mv Maggi, Marcio Furlan
dc.contributor.referee2ID.fl_str_mv CPF:01673923950
dc.contributor.referee2Lattes.fl_str_mv http://lattes.cnpq.br/8677221771738301
dc.contributor.referee3.fl_str_mv Bazzi, Claudio Leones
dc.contributor.referee3ID.fl_str_mv CPF:00605320926
dc.contributor.referee3Lattes.fl_str_mv http://lattes.cnpq.br/2170981286370303
dc.contributor.authorID.fl_str_mv CPF:05057455931
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/0780966755422728
dc.contributor.author.fl_str_mv Justina, Diego Domingos Della
contributor_str_mv Mercante, Erivelto
Johann, Jerry Adriani
Opazo, Miguel Angel Uribe
Boas, Marcio Antonio Vilas
Maggi, Marcio Furlan
Bazzi, Claudio Leones
dc.subject.por.fl_str_mv Sensoriamento remoto
Perfis temporais
NDVI/MODIS
GreenSeeker.
topic Sensoriamento remoto
Perfis temporais
NDVI/MODIS
GreenSeeker.
Remote sensing
Temporal profiles
NDVI/MODIS
GreenSeeker
CNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA
dc.subject.eng.fl_str_mv Remote sensing
Temporal profiles
NDVI/MODIS
GreenSeeker
dc.subject.cnpq.fl_str_mv CNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA
description Soybeans are an important agricultural crop, with expressive economical participation; thus, it is necessary the adoption of practices that enable crop forecasting, contributing for a better market position of this commodity. Remote sensing methodologies for monitoring production through are highly effective, due to their low cost, large-scale coverage and smaller time consumption. One of these techniques used is the NDVI Normalized Difference Vegetation Index, which has been employed on a large scale through use of the MODIS sensor. However, orbital sensors are subject to the influence of atmospheric factors and the culture dynamics, which may have different spectral behaviors among cultivars of the same species. In this context, non-orbital spectroscopy would be a viable solution for studying the existence of variations in the spectral behavior of any crop without further interference from exogenous factors. Thus, the aim of this work was to evaluate the temporal profiles of NDVI obtained with orbital MODIS sensor and non-orbital sensor GreenSeeker during the soybean development cycle. The study was conducted in two plots (T1 and T2) located on the Central Cooperative of Agricultural Research - COODETEC, in Cascavel State of Paraná. Samples of NDVI of thirteen pixels, three of them called pure pixels and ten non pure pixels, were taken at irregular intervals, but representing crop cycle. The data obtained by the non-orbital sensor were analyzed by exploratory analysis. Means of both orbital and non-orbital sensors were compared by test-t at 5% significance level. The means comparison test demonstrated the data obtained through the two sensors to be statistically different. However, both showed good dynamic range and sensibility to monitor and access spatial and temporal variations in the vegetation.
publishDate 2014
dc.date.issued.fl_str_mv 2014-01-30
dc.date.available.fl_str_mv 2015-08-20
dc.date.accessioned.fl_str_mv 2017-07-10T19:23:49Z
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 JUSTINA, Diego Domingos Della. SOYBEAN SPECTRAL DYNAMICS THROUGH NDVI USING ORBITAL AND TERRESTRIAL SENSORS. 2014. 82 f. Dissertação (Mestrado em Engenharia) - Universidade Estadual do Oeste do Parana, Cascavel, 2014.
dc.identifier.uri.fl_str_mv http://tede.unioeste.br:8080/tede/handle/tede/2650
identifier_str_mv JUSTINA, Diego Domingos Della. SOYBEAN SPECTRAL DYNAMICS THROUGH NDVI USING ORBITAL AND TERRESTRIAL SENSORS. 2014. 82 f. Dissertação (Mestrado em Engenharia) - Universidade Estadual do Oeste do Parana, Cascavel, 2014.
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