Análise da evolução espaço-temporal das lavouras no Estado de Minas Gerais
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Tipo de documento: | Tese |
Idioma: | por |
Título da fonte: | LOCUS Repositório Institucional da UFV |
Texto Completo: | http://locus.ufv.br/handle/123456789/1501 |
Resumo: | This work aimed to carry out the spectral classification of planted areas (coffee, sugarcane, corn, soybean and dry bean crops) by means of the decision tree classifier (DT), to analyze influence of the climate, soil and terrain relief on Coffea arabica plantations and change in the agricultural composition by means of the crops substitution index (SI). For the spectral classification of the planted areas, the algorithm (DT) and products of the TM sensor, aboard of the Landsat-5 satellite, were used. For an updated climatic zoning of Coffea arabica plantations, 1941-2009 climatic data sets were used. To analyze agricultural composition change, 1990-2008 census data, provided by the IBGE, were also used. Spectral classification by means of DT algorithm showed that the remote sensing image obtained by the Landsat-5 satellite, in four different years and specific times, allowed to map the areas occupied by the crops (coffee, sugarcane, corn, soybean, and dry bean) in the state of Minas Gerais. The planted areas, estimated by DT algorithm, presented a good correlation with the values observed by the IBGE, but there was a tendency to overestimate. When comparing the planted areas estimated via DT algorithm with those observed IBGE data coherence was verified in the results found and also supported by the literature. The Coffea arabica climatic zoning update was found to be very efficient in delimiting the climatically homogenous regions, for the potential coffee yield in the state of Minas Gerais. The methodologies to obtain an updated data set and processing of climatic zoning for Coffea arabica productivity and its suitability were shown to be technically acceptable compared to the zonings previously carried out in the state of Minas Gerais. The most outstanding crops in terms of area expansion were found to be sugarcane, coffee, soybean and dry bean, indicating that the state of Minas Gerais presented an important economic and relatively homogenous dynamism, not dependent exclusively on the performance of a single product. Thus, dissemination of the methodologies and technologies developed is recommended in order to monitor planted areas in the state of Minas Gerais. |
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Delgado, Rafael Collhttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4776625P3Soares, Vicente Paulohttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4781715A9Costa, Marcos Heilhttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4799234J7Sediyama, Gilberto Chohakuhttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4788051E6Andrade, Ricardo Guimarãeshttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4775077J9Hamakawa, Paulo JoséJustino, Flávio Barbosahttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4794123A22015-03-26T12:49:14Z2011-09-132015-03-26T12:49:14Z2010-11-29DELGADO, Rafael Coll. Time-space evolution analysis of Minas Gerais crops. 2010. 152 f. Tese (Doutorado em Agrometeorologia; Climatologia; Micrometeorologia) - Universidade Federal de Viçosa, Viçosa, 2010.http://locus.ufv.br/handle/123456789/1501This work aimed to carry out the spectral classification of planted areas (coffee, sugarcane, corn, soybean and dry bean crops) by means of the decision tree classifier (DT), to analyze influence of the climate, soil and terrain relief on Coffea arabica plantations and change in the agricultural composition by means of the crops substitution index (SI). For the spectral classification of the planted areas, the algorithm (DT) and products of the TM sensor, aboard of the Landsat-5 satellite, were used. For an updated climatic zoning of Coffea arabica plantations, 1941-2009 climatic data sets were used. To analyze agricultural composition change, 1990-2008 census data, provided by the IBGE, were also used. Spectral classification by means of DT algorithm showed that the remote sensing image obtained by the Landsat-5 satellite, in four different years and specific times, allowed to map the areas occupied by the crops (coffee, sugarcane, corn, soybean, and dry bean) in the state of Minas Gerais. The planted areas, estimated by DT algorithm, presented a good correlation with the values observed by the IBGE, but there was a tendency to overestimate. When comparing the planted areas estimated via DT algorithm with those observed IBGE data coherence was verified in the results found and also supported by the literature. The Coffea arabica climatic zoning update was found to be very efficient in delimiting the climatically homogenous regions, for the potential coffee yield in the state of Minas Gerais. The methodologies to obtain an updated data set and processing of climatic zoning for Coffea arabica productivity and its suitability were shown to be technically acceptable compared to the zonings previously carried out in the state of Minas Gerais. The most outstanding crops in terms of area expansion were found to be sugarcane, coffee, soybean and dry bean, indicating that the state of Minas Gerais presented an important economic and relatively homogenous dynamism, not dependent exclusively on the performance of a single product. Thus, dissemination of the methodologies and technologies developed is recommended in order to monitor planted areas in the state of Minas Gerais.Neste trabalho realizou-se a classificação espectral das áreas plantadas (café, cana-de-açúcar, milho, soja e feijão) por meio do classificador árvore de decisão (AD), analisou-se a influência do clima, solo e relevo para o café arábica e a mudança na composição agrícola por intermédio do índice de substituição das culturas (IS). Para classificação espectral das áreas plantadas, empregou-se o algoritmo (AD) e produtos do sensor TM, a bordo do satélite Landsat-5. No zoneamento climático atualizado do café arábica, utilizaram-se dados climáticos de 1941 a 2009. Para a análise da mudança na composição agrícola, utilizaram-se dados de censo de 1990 a 2008, fornecidos pelo IBGE. A classificação espectral por meio do algoritmo AD, mostrou que as imagens de sensoriamento remoto obtida pelo satélite Landsat-5, em quatro diferentes anos e específicas épocas, permitem mapear as áreas ocupadas com as culturas (café, cana-deaçúcar, milho, soja e feijão) para o estado de Minas Gerais. Os valores das áreas plantadas, estimadas pelo algoritmo AD, apresentaram boa correlação com os valores observados pelo IBGE, porém houve uma tendência de superestimativa. Ao comparar as áreas plantadas estimadas via AD com o IBGE, verificou-se coerência nos resultados encontrados, com respaldo na literatura. A atualização dos dados para o zoneamento climático do café arábica mostrou-se eficiente na delimitação das regiões climaticamente homogêneas, quanto à capacidade produtiva da cultura do café no estado de Minas Gerais. As metodologias para a obtenção do banco de dados atualizado e processamento para a formação da aptidão climática, produtividade e aptidão geral mostraram-se tecnicamente aceitáveis em relação a zoneamentos já realizados no estado de Minas Gerais. Verificou-se que as culturas que mais se destacaram em termos de expansão de área foram cana-de-açúcar, café, soja e feijão, indicando que o estado de Minas Gerais apresentou dinamismo econômico importante e relativamente homogêneo, não dependendo exclusivamente do desempenho de um único produto. Recomenda-se assim que ocorra a difusão das metodologias e técnicas desenvolvidas para o monitoramento de áreas plantadas no estado de Minas Gerais.Coordenação de Aperfeiçoamento de Pessoal de Nível Superiorapplication/pdfporUniversidade Federal de ViçosaDoutorado em Meteorologia AgrícolaUFVBRAgrometeorologia; Climatologia; MicrometeorologiaClimatologiaSensoriamento remotoClimatologiaSensoriamento remotoCNPQ::CIENCIAS AGRARIAS::AGRONOMIAAnálise da evolução espaço-temporal das lavouras no Estado de Minas GeraisTime-space evolution analysis of Minas Gerais cropsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/openAccessreponame:LOCUS Repositório Institucional da UFVinstname:Universidade Federal de Viçosa (UFV)instacron:UFVORIGINALtexto completo.pdfapplication/pdf3737012https://locus.ufv.br//bitstream/123456789/1501/1/texto%20completo.pdf7134a2b7734c58a7b05152711003a1a3MD51TEXTtexto completo.pdf.txttexto completo.pdf.txtExtracted texttext/plain217638https://locus.ufv.br//bitstream/123456789/1501/2/texto%20completo.pdf.txtf5437f27df1d96cb189a96b4d4e8b2d0MD52THUMBNAILtexto completo.pdf.jpgtexto completo.pdf.jpgIM Thumbnailimage/jpeg3500https://locus.ufv.br//bitstream/123456789/1501/3/texto%20completo.pdf.jpgeb58d910bb4ca216eed7f53627a3fea0MD53123456789/15012016-04-07 23:07:40.656oai:locus.ufv.br:123456789/1501Repositório InstitucionalPUBhttps://www.locus.ufv.br/oai/requestfabiojreis@ufv.bropendoar:21452016-04-08T02:07:40LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV)false |
dc.title.por.fl_str_mv |
Análise da evolução espaço-temporal das lavouras no Estado de Minas Gerais |
dc.title.alternative.eng.fl_str_mv |
Time-space evolution analysis of Minas Gerais crops |
title |
Análise da evolução espaço-temporal das lavouras no Estado de Minas Gerais |
spellingShingle |
Análise da evolução espaço-temporal das lavouras no Estado de Minas Gerais Delgado, Rafael Coll Climatologia Sensoriamento remoto Climatologia Sensoriamento remoto CNPQ::CIENCIAS AGRARIAS::AGRONOMIA |
title_short |
Análise da evolução espaço-temporal das lavouras no Estado de Minas Gerais |
title_full |
Análise da evolução espaço-temporal das lavouras no Estado de Minas Gerais |
title_fullStr |
Análise da evolução espaço-temporal das lavouras no Estado de Minas Gerais |
title_full_unstemmed |
Análise da evolução espaço-temporal das lavouras no Estado de Minas Gerais |
title_sort |
Análise da evolução espaço-temporal das lavouras no Estado de Minas Gerais |
author |
Delgado, Rafael Coll |
author_facet |
Delgado, Rafael Coll |
author_role |
author |
dc.contributor.authorLattes.por.fl_str_mv |
http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4776625P3 |
dc.contributor.author.fl_str_mv |
Delgado, Rafael Coll |
dc.contributor.advisor-co1.fl_str_mv |
Soares, Vicente Paulo |
dc.contributor.advisor-co1Lattes.fl_str_mv |
http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4781715A9 |
dc.contributor.advisor-co2.fl_str_mv |
Costa, Marcos Heil |
dc.contributor.advisor-co2Lattes.fl_str_mv |
http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4799234J7 |
dc.contributor.advisor1.fl_str_mv |
Sediyama, Gilberto Chohaku |
dc.contributor.advisor1Lattes.fl_str_mv |
http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4788051E6 |
dc.contributor.referee1.fl_str_mv |
Andrade, Ricardo Guimarães |
dc.contributor.referee1Lattes.fl_str_mv |
http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4775077J9 |
dc.contributor.referee2.fl_str_mv |
Hamakawa, Paulo José |
dc.contributor.referee3.fl_str_mv |
Justino, Flávio Barbosa |
dc.contributor.referee3Lattes.fl_str_mv |
http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4794123A2 |
contributor_str_mv |
Soares, Vicente Paulo Costa, Marcos Heil Sediyama, Gilberto Chohaku Andrade, Ricardo Guimarães Hamakawa, Paulo José Justino, Flávio Barbosa |
dc.subject.por.fl_str_mv |
Climatologia Sensoriamento remoto |
topic |
Climatologia Sensoriamento remoto Climatologia Sensoriamento remoto CNPQ::CIENCIAS AGRARIAS::AGRONOMIA |
dc.subject.eng.fl_str_mv |
Climatologia Sensoriamento remoto |
dc.subject.cnpq.fl_str_mv |
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA |
description |
This work aimed to carry out the spectral classification of planted areas (coffee, sugarcane, corn, soybean and dry bean crops) by means of the decision tree classifier (DT), to analyze influence of the climate, soil and terrain relief on Coffea arabica plantations and change in the agricultural composition by means of the crops substitution index (SI). For the spectral classification of the planted areas, the algorithm (DT) and products of the TM sensor, aboard of the Landsat-5 satellite, were used. For an updated climatic zoning of Coffea arabica plantations, 1941-2009 climatic data sets were used. To analyze agricultural composition change, 1990-2008 census data, provided by the IBGE, were also used. Spectral classification by means of DT algorithm showed that the remote sensing image obtained by the Landsat-5 satellite, in four different years and specific times, allowed to map the areas occupied by the crops (coffee, sugarcane, corn, soybean, and dry bean) in the state of Minas Gerais. The planted areas, estimated by DT algorithm, presented a good correlation with the values observed by the IBGE, but there was a tendency to overestimate. When comparing the planted areas estimated via DT algorithm with those observed IBGE data coherence was verified in the results found and also supported by the literature. The Coffea arabica climatic zoning update was found to be very efficient in delimiting the climatically homogenous regions, for the potential coffee yield in the state of Minas Gerais. The methodologies to obtain an updated data set and processing of climatic zoning for Coffea arabica productivity and its suitability were shown to be technically acceptable compared to the zonings previously carried out in the state of Minas Gerais. The most outstanding crops in terms of area expansion were found to be sugarcane, coffee, soybean and dry bean, indicating that the state of Minas Gerais presented an important economic and relatively homogenous dynamism, not dependent exclusively on the performance of a single product. Thus, dissemination of the methodologies and technologies developed is recommended in order to monitor planted areas in the state of Minas Gerais. |
publishDate |
2010 |
dc.date.issued.fl_str_mv |
2010-11-29 |
dc.date.available.fl_str_mv |
2011-09-13 2015-03-26T12:49:14Z |
dc.date.accessioned.fl_str_mv |
2015-03-26T12:49:14Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/doctoralThesis |
format |
doctoralThesis |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
DELGADO, Rafael Coll. Time-space evolution analysis of Minas Gerais crops. 2010. 152 f. Tese (Doutorado em Agrometeorologia; Climatologia; Micrometeorologia) - Universidade Federal de Viçosa, Viçosa, 2010. |
dc.identifier.uri.fl_str_mv |
http://locus.ufv.br/handle/123456789/1501 |
identifier_str_mv |
DELGADO, Rafael Coll. Time-space evolution analysis of Minas Gerais crops. 2010. 152 f. Tese (Doutorado em Agrometeorologia; Climatologia; Micrometeorologia) - Universidade Federal de Viçosa, Viçosa, 2010. |
url |
http://locus.ufv.br/handle/123456789/1501 |
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por |
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por |
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Universidade Federal de Viçosa |
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Doutorado em Meteorologia Agrícola |
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UFV |
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BR |
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Agrometeorologia; Climatologia; Micrometeorologia |
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Universidade Federal de Viçosa |
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