Índice de área foliar e estresse hídrico da cana-de-açúcar em função de variáveis climáticas e dados orbitais
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFG |
Texto Completo: | http://repositorio.bc.ufg.br/tede/handle/tede/5288 |
Resumo: | Spectral information obtained by satellite imagery is well related to agronomic variables and can be used to monitor sugarcane growth and their responses to changes in environmental conditions of cultivation in large areas. This study is aimed to establish relationships between orbital data in the spectral ranges of the thermal and active photosynthetic radiation of Landsat-8 satellite with data observed with the leaf area index field (LAI), plant height, number of green leaves, and leaf temperature in plots planted with sugarcane, CTC-04 genotype, in a production cycle in sugarcane plant stage in Santo Antônio de Goiás-GO in the 2013/14 crop year. The first study aimed to calibrate a model to measure the temporal variation of the sugarcane LAI from the Normalized Difference Vegetation Index (NDVI) obtained from satellite Landsat 8’s surface reflectance images. It was conducted and the correlation between the LAI collected in the field and the NDVI with and without application of atmospheric correction. The corrected model showed the best relationship with field data. The application of the spectral model was efficient to monitor LAI over a sugarcane plant cycle. The results suggest that the NDVI-LAI relationship may vary during the production cycle of sugarcane due to variations in growth, development, and environmental conditions. Spectral variable NDVI with atmospheric correction was highly correlated (R² = 0,83) with LAI but the relationship proved to be affected by the NDVI saturation point at high values of LAI observed in the field. The second study aimed to evaluate the applicability of surface temperature (LST) obtained from the thermal bands of the Landsat-8 in correlation with the leaf temperature of sugarcane, to establish relationships able to detect water stress remotely through the images, in the occurrence period of drought throughout the year production in rain fed crop in the Cerrado region. The results showed that LST, despite having low direct association with the leaf temperature, has the potential of monitoring water stress in sugarcane within the Cerrado region, since the simulation of the difference between LST and the air temperature accompanies the spread between the leaf temperature and the air, the dynamics of soil water balance and changes in crop growth rates that occur in response to water stress. |
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Casaroli, Derblaihttp://lattes.cnpq.br/1054839770814863Vellame, Lucas Melohttp://lattes.cnpq.br/8702210588870644Casaroli, DerblaiTeixeira, Marconi BatistaAlves Júnior, Joséhttp://lattes.cnpq.br/9605050027901882Pereira, Rodrigo Moura2016-03-03T15:32:24Z2015-06-03PEREIRA, R. M. Índice de área foliar e estresse hídrico da cana-de-açúcar em função de variáveis climáticas e dados orbitais. 2015. 94 f. Dissertação (Mestrado em Agronomia) - Universidade Federal de Goiás, Goiânia, 2015.http://repositorio.bc.ufg.br/tede/handle/tede/5288ark:/38995/0013000007jdqSpectral information obtained by satellite imagery is well related to agronomic variables and can be used to monitor sugarcane growth and their responses to changes in environmental conditions of cultivation in large areas. This study is aimed to establish relationships between orbital data in the spectral ranges of the thermal and active photosynthetic radiation of Landsat-8 satellite with data observed with the leaf area index field (LAI), plant height, number of green leaves, and leaf temperature in plots planted with sugarcane, CTC-04 genotype, in a production cycle in sugarcane plant stage in Santo Antônio de Goiás-GO in the 2013/14 crop year. The first study aimed to calibrate a model to measure the temporal variation of the sugarcane LAI from the Normalized Difference Vegetation Index (NDVI) obtained from satellite Landsat 8’s surface reflectance images. It was conducted and the correlation between the LAI collected in the field and the NDVI with and without application of atmospheric correction. The corrected model showed the best relationship with field data. The application of the spectral model was efficient to monitor LAI over a sugarcane plant cycle. The results suggest that the NDVI-LAI relationship may vary during the production cycle of sugarcane due to variations in growth, development, and environmental conditions. Spectral variable NDVI with atmospheric correction was highly correlated (R² = 0,83) with LAI but the relationship proved to be affected by the NDVI saturation point at high values of LAI observed in the field. The second study aimed to evaluate the applicability of surface temperature (LST) obtained from the thermal bands of the Landsat-8 in correlation with the leaf temperature of sugarcane, to establish relationships able to detect water stress remotely through the images, in the occurrence period of drought throughout the year production in rain fed crop in the Cerrado region. The results showed that LST, despite having low direct association with the leaf temperature, has the potential of monitoring water stress in sugarcane within the Cerrado region, since the simulation of the difference between LST and the air temperature accompanies the spread between the leaf temperature and the air, the dynamics of soil water balance and changes in crop growth rates that occur in response to water stress.A informação espectral obtida a partir de imagens de satélite possui boa relação com variáveis agronômicas e pode contribuir com informações para o monitoramento do crescimento e de suas respostas em relação a variações das condições ambientais de cultivo em grandes áreas. Dessa forma objetivou-se estabelecer relações entre os dados orbitais nas faixas espectrais da radiação fotossinteticamente ativa e termal do satélite Landsat-8 com dados observados em campo de índice de área foliar (IAF), altura de plantas, número de folhas verdes e temperatura foliar em talhões cultivados com cana-de-açúcar, variedade CTC-04, em um ciclo de produção no estágio de cana-planta no município de Santo Antônio de Goiás-GO na safra 2013/14. O primeiro estudo teve como objetivo calibrar um modelo para medir a variação temporal do IAF da cana-de-açúcar a partir do Índice de Vegetação por Diferença Normalizada (NDVI) obtido a partir de imagens de reflectância de superfície do satélite Landsat 8. Foi realizada a correlação entre o IAF coletado em campo e o NDVI com e sem aplicação de correção atmosférica. O modelo corrigido apresentou a melhor relação com os dados de campo. A aplicação do modelo IAF espectral foi eficiente no acompanhamento do IAF ao longo de um ciclo de cana-planta. Os resultados sugerem que a relação NDVI-IAF pode variar durante o ciclo de produção da cana-de-açúcar em função das variações de crescimento e desenvolvimento, e condições ambientais. As relações lineares se mostraram fortes durante a fase de produção e senescência das folhas (R² = 0,83), entretanto a relação mostrou-se afetada pelo ponto de saturação do NDVI em valores altos de IAF observados em campo. O segundo estudo teve como objetivo avaliar a aplicabilidade da temperatura de superfície (LST) obtida a partir das bandas termais do Landsat-8 na correlação com a temperatura foliar da cultura, com o intuito de estabelecer relações capazes de detectar remotamente por meio de imagens, o estresse hídrico no período de ocorrência do déficit hídrico ao longo do ano de produção em cultivo de sequeiro na região do Cerrado. Os resultados mostraram que a LST, apesar de ter apresentado baixa associação direta com a temperatura foliar, possui potencial no monitoramento do eventual estresse hídrico na cana-de-açúcar na região do Cerrado, uma vez que a simulação do diferencial entre a LST e a temperatura do ar acompanha o diferencial entre a temperatura foliar e a do ar, a dinâmica do balanço de água do solo e as alterações nas taxas de crescimento da cultura que ocorrem em resposta à deficiência hídrica.Submitted by Cláudia Bueno (claudiamoura18@gmail.com) on 2016-03-03T14:31:40Z No. of bitstreams: 2 Dissertação - Rodrigo Moura Pereira - 2015.pdf: 1322504 bytes, checksum: 556731a5041f0e932f32f21043aecae6 (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5)Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2016-03-03T15:32:24Z (GMT) No. of bitstreams: 2 Dissertação - Rodrigo Moura Pereira - 2015.pdf: 1322504 bytes, checksum: 556731a5041f0e932f32f21043aecae6 (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5)Made available in DSpace on 2016-03-03T15:32:24Z (GMT). No. of bitstreams: 2 Dissertação - Rodrigo Moura Pereira - 2015.pdf: 1322504 bytes, checksum: 556731a5041f0e932f32f21043aecae6 (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) Previous issue date: 2015-06-03Conselho Nacional de Pesquisa e Desenvolvimento Científico e Tecnológico - CNPqapplication/pdfporUniversidade Federal de GoiásPrograma de Pós-graduação em Agronomia (EAEA)UFGBrasilEscola de Agronomia e Engenharia de Alimentos - EAEA (RG)http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessSaccharum spp. crescimentoDeficiência hídricaLandsat 8Índice de vegetaçãoTemperatura de superfícieSaccharum spp. growthWater deficitLandsat 8Vegetation indexSurface temperatureCIENCIAS AGRARIAS::AGRONOMIAÍndice de área foliar e estresse hídrico da cana-de-açúcar em função de variáveis climáticas e dados orbitaisLeaf area index and water stress in sugarcane obtained by climatic and orbital datainfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesis8421195611339883816006006006004500684695727928426-3091138714907603907-2555911436985713659reponame:Repositório Institucional da UFGinstname:Universidade Federal de Goiás (UFG)instacron:UFGORIGINALDissertação - Rodrigo Moura Pereira - 2015.pdfDissertação - Rodrigo Moura Pereira - 2015.pdfapplication/pdf1322504http://repositorio.bc.ufg.br/tede/bitstreams/d4568b95-9893-4f82-9672-97369d897306/download556731a5041f0e932f32f21043aecae6MD55LICENSElicense.txtlicense.txttext/plain; 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dc.title.por.fl_str_mv |
Índice de área foliar e estresse hídrico da cana-de-açúcar em função de variáveis climáticas e dados orbitais |
dc.title.alternative.eng.fl_str_mv |
Leaf area index and water stress in sugarcane obtained by climatic and orbital data |
title |
Índice de área foliar e estresse hídrico da cana-de-açúcar em função de variáveis climáticas e dados orbitais |
spellingShingle |
Índice de área foliar e estresse hídrico da cana-de-açúcar em função de variáveis climáticas e dados orbitais Pereira, Rodrigo Moura Saccharum spp. crescimento Deficiência hídrica Landsat 8 Índice de vegetação Temperatura de superfície Saccharum spp. growth Water deficit Landsat 8 Vegetation index Surface temperature CIENCIAS AGRARIAS::AGRONOMIA |
title_short |
Índice de área foliar e estresse hídrico da cana-de-açúcar em função de variáveis climáticas e dados orbitais |
title_full |
Índice de área foliar e estresse hídrico da cana-de-açúcar em função de variáveis climáticas e dados orbitais |
title_fullStr |
Índice de área foliar e estresse hídrico da cana-de-açúcar em função de variáveis climáticas e dados orbitais |
title_full_unstemmed |
Índice de área foliar e estresse hídrico da cana-de-açúcar em função de variáveis climáticas e dados orbitais |
title_sort |
Índice de área foliar e estresse hídrico da cana-de-açúcar em função de variáveis climáticas e dados orbitais |
author |
Pereira, Rodrigo Moura |
author_facet |
Pereira, Rodrigo Moura |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
Casaroli, Derblai |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/1054839770814863 |
dc.contributor.advisor-co1.fl_str_mv |
Vellame, Lucas Melo |
dc.contributor.advisor-co1Lattes.fl_str_mv |
http://lattes.cnpq.br/8702210588870644 |
dc.contributor.referee1.fl_str_mv |
Casaroli, Derblai |
dc.contributor.referee2.fl_str_mv |
Teixeira, Marconi Batista |
dc.contributor.referee3.fl_str_mv |
Alves Júnior, José |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/9605050027901882 |
dc.contributor.author.fl_str_mv |
Pereira, Rodrigo Moura |
contributor_str_mv |
Casaroli, Derblai Vellame, Lucas Melo Casaroli, Derblai Teixeira, Marconi Batista Alves Júnior, José |
dc.subject.por.fl_str_mv |
Saccharum spp. crescimento Deficiência hídrica Landsat 8 Índice de vegetação Temperatura de superfície |
topic |
Saccharum spp. crescimento Deficiência hídrica Landsat 8 Índice de vegetação Temperatura de superfície Saccharum spp. growth Water deficit Landsat 8 Vegetation index Surface temperature CIENCIAS AGRARIAS::AGRONOMIA |
dc.subject.eng.fl_str_mv |
Saccharum spp. growth Water deficit Landsat 8 Vegetation index Surface temperature |
dc.subject.cnpq.fl_str_mv |
CIENCIAS AGRARIAS::AGRONOMIA |
description |
Spectral information obtained by satellite imagery is well related to agronomic variables and can be used to monitor sugarcane growth and their responses to changes in environmental conditions of cultivation in large areas. This study is aimed to establish relationships between orbital data in the spectral ranges of the thermal and active photosynthetic radiation of Landsat-8 satellite with data observed with the leaf area index field (LAI), plant height, number of green leaves, and leaf temperature in plots planted with sugarcane, CTC-04 genotype, in a production cycle in sugarcane plant stage in Santo Antônio de Goiás-GO in the 2013/14 crop year. The first study aimed to calibrate a model to measure the temporal variation of the sugarcane LAI from the Normalized Difference Vegetation Index (NDVI) obtained from satellite Landsat 8’s surface reflectance images. It was conducted and the correlation between the LAI collected in the field and the NDVI with and without application of atmospheric correction. The corrected model showed the best relationship with field data. The application of the spectral model was efficient to monitor LAI over a sugarcane plant cycle. The results suggest that the NDVI-LAI relationship may vary during the production cycle of sugarcane due to variations in growth, development, and environmental conditions. Spectral variable NDVI with atmospheric correction was highly correlated (R² = 0,83) with LAI but the relationship proved to be affected by the NDVI saturation point at high values of LAI observed in the field. The second study aimed to evaluate the applicability of surface temperature (LST) obtained from the thermal bands of the Landsat-8 in correlation with the leaf temperature of sugarcane, to establish relationships able to detect water stress remotely through the images, in the occurrence period of drought throughout the year production in rain fed crop in the Cerrado region. The results showed that LST, despite having low direct association with the leaf temperature, has the potential of monitoring water stress in sugarcane within the Cerrado region, since the simulation of the difference between LST and the air temperature accompanies the spread between the leaf temperature and the air, the dynamics of soil water balance and changes in crop growth rates that occur in response to water stress. |
publishDate |
2015 |
dc.date.issued.fl_str_mv |
2015-06-03 |
dc.date.accessioned.fl_str_mv |
2016-03-03T15:32:24Z |
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 |
PEREIRA, R. M. Índice de área foliar e estresse hídrico da cana-de-açúcar em função de variáveis climáticas e dados orbitais. 2015. 94 f. Dissertação (Mestrado em Agronomia) - Universidade Federal de Goiás, Goiânia, 2015. |
dc.identifier.uri.fl_str_mv |
http://repositorio.bc.ufg.br/tede/handle/tede/5288 |
dc.identifier.dark.fl_str_mv |
ark:/38995/0013000007jdq |
identifier_str_mv |
PEREIRA, R. M. Índice de área foliar e estresse hídrico da cana-de-açúcar em função de variáveis climáticas e dados orbitais. 2015. 94 f. Dissertação (Mestrado em Agronomia) - Universidade Federal de Goiás, Goiânia, 2015. ark:/38995/0013000007jdq |
url |
http://repositorio.bc.ufg.br/tede/handle/tede/5288 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.program.fl_str_mv |
842119561133988381 |
dc.relation.confidence.fl_str_mv |
600 600 600 600 |
dc.relation.department.fl_str_mv |
4500684695727928426 |
dc.relation.cnpq.fl_str_mv |
-3091138714907603907 |
dc.relation.sponsorship.fl_str_mv |
-2555911436985713659 |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Goiás |
dc.publisher.program.fl_str_mv |
Programa de Pós-graduação em Agronomia (EAEA) |
dc.publisher.initials.fl_str_mv |
UFG |
dc.publisher.country.fl_str_mv |
Brasil |
dc.publisher.department.fl_str_mv |
Escola de Agronomia e Engenharia de Alimentos - EAEA (RG) |
publisher.none.fl_str_mv |
Universidade Federal de Goiás |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFG instname:Universidade Federal de Goiás (UFG) instacron:UFG |
instname_str |
Universidade Federal de Goiás (UFG) |
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UFG |
institution |
UFG |
reponame_str |
Repositório Institucional da UFG |
collection |
Repositório Institucional da UFG |
bitstream.url.fl_str_mv |
http://repositorio.bc.ufg.br/tede/bitstreams/d4568b95-9893-4f82-9672-97369d897306/download http://repositorio.bc.ufg.br/tede/bitstreams/84a645e7-a371-4a0c-8e42-6e5425c1543b/download http://repositorio.bc.ufg.br/tede/bitstreams/fa42307d-c64e-417e-9628-ed0abdf136b7/download http://repositorio.bc.ufg.br/tede/bitstreams/c40822a1-474a-4e7e-9751-3739cd728f58/download http://repositorio.bc.ufg.br/tede/bitstreams/8c7cd665-7d8e-4e59-a178-ff01925bebea/download |
bitstream.checksum.fl_str_mv |
556731a5041f0e932f32f21043aecae6 bd3efa91386c1718a7f26a329fdcb468 4afdbb8c545fd630ea7db775da747b2f ef48816a10f2d45f2e2fee2f478e2faf 9da0b6dfac957114c6a7714714b86306 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 MD5 |
repository.name.fl_str_mv |
Repositório Institucional da UFG - Universidade Federal de Goiás (UFG) |
repository.mail.fl_str_mv |
tasesdissertacoes.bc@ufg.br |
_version_ |
1811721435492646912 |