Uso do sensoriamento remoto para a estimativa da evapotranspiração atual e diagnóstico do manejo da irrigação da cultura do tomate industrial em Goiás

Detalhes bibliográficos
Ano de defesa: 2021
Autor(a) principal: Sena, Carolina Carvalho Rocha lattes
Orientador(a): Alves Júnior, José lattes
Banca de defesa: Alves Júnior, José, Casaroli, Derblai, Heinemann, Alexandre Bryan, Giongo, Pedro Rogério, Bezerra, Ricardo de Souza
Tipo de documento: Tese
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de Goiás
Programa de Pós-Graduação: Programa de Pós-graduação em Agronomia (EA)
Departamento: Escola de Agronomia - EA (RG)
País: Brasil
Palavras-chave em Português:
Palavras-chave em Inglês:
Área do conhecimento CNPq:
Link de acesso: http://repositorio.bc.ufg.br/tede/handle/tede/11361
Resumo: The cultivation of processing tomatoes in Goiás is carried out during the dry season, making irrigation necessary, however, usually its management is carried out empirically, which can lead to errors due to excess or water deficit. Thus, monitoring current irrigation management, as well as improving knowledge about crop evapotranspiration, are fundamental practices to improve the sizing of new irrigation projects, the management of water resources and the management of irrigation. Thus, this study aimed to evaluate the performance of the Simple Algorithm For Evapotranspiration Retrieving (SAFER) and Mapping Evapotranspiration at high Resolution using Internalized Calibration (METRIC) algorithms to estimate the current evapotranspiration (ETa) of processing tomatoes and to analyze the use of tomatoes of irrigation water for this crop in south-central Goiás. Both studies were carried out in nine areas where processing tomatoes irrigated by a central pivot, in Goiás, during 2018 and 2019. The study was divided into two stages: in the first stage, using images from the Landsat 8 OLI/TIRS, for estimation of ETa by SAFER and METRIC models comparing with ET obtained by FAO, Embrapa and soil water balance based on statistical indexes. The ETa of the processing tomato estimated by the algorithms throughout the cycle varied between 0.85 and 5.20 mm day-1, in general average. The SAFER model provided a better correlation with standard methods when compared to METRIC, with a correlation coefficient ranging from 0.64 to 0.99. The algorithms showed good statistical performance in the estimation of ETa in phases II and III of the processing tomato. The diagnosis of irrigation management indicated that in all the evaluated areas there were errors in irrigation management, when considering the total water applied in the cycle. The results showed that the water demands varied from 280.3 to 436.8 mm, in 109 to 129 days of cycle. The average error for excess water applied was 83.4 mm, representing 77.8% of the analyzed areas, and the deficit error was 39.3 mm, corresponding to 22.2% of the analyzed areas. The study also revealed that in all areas the irrigation was carried out at the wrong frequency, which may have caused the runoff of water on the soil surface. These results point to an incorrect management of irrigation in the production of processing tomatoes in Goiás.
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spelling Alves Júnior, Joséhttp://lattes.cnpq.br/3418524049655817Souza, João Maurício Fernandeshttp://lattes.cnpq.br/3353704329752144Battisti, Rafaelhttp://lattes.cnpq.br/9350992609794419Alves Júnior, JoséCasaroli, DerblaiHeinemann, Alexandre BryanGiongo, Pedro RogérioBezerra, Ricardo de Souzahttp://lattes.cnpq.br/3547725424172689Sena, Carolina Carvalho Rocha2021-05-11T10:46:43Z2021-05-11T10:46:43Z2021-02-26SENA, C. C. R. Uso do sensoriamento remoto para a estimativa da evapotranspiração atual e diagnóstico do manejo da irrigação da cultura do tomate industrial em Goiás. 2021. 135 f. Tese (Doutorado em Agronomia) - Universidade Federal de Goiás, Goiânia, 2021.http://repositorio.bc.ufg.br/tede/handle/tede/11361The cultivation of processing tomatoes in Goiás is carried out during the dry season, making irrigation necessary, however, usually its management is carried out empirically, which can lead to errors due to excess or water deficit. Thus, monitoring current irrigation management, as well as improving knowledge about crop evapotranspiration, are fundamental practices to improve the sizing of new irrigation projects, the management of water resources and the management of irrigation. Thus, this study aimed to evaluate the performance of the Simple Algorithm For Evapotranspiration Retrieving (SAFER) and Mapping Evapotranspiration at high Resolution using Internalized Calibration (METRIC) algorithms to estimate the current evapotranspiration (ETa) of processing tomatoes and to analyze the use of tomatoes of irrigation water for this crop in south-central Goiás. Both studies were carried out in nine areas where processing tomatoes irrigated by a central pivot, in Goiás, during 2018 and 2019. The study was divided into two stages: in the first stage, using images from the Landsat 8 OLI/TIRS, for estimation of ETa by SAFER and METRIC models comparing with ET obtained by FAO, Embrapa and soil water balance based on statistical indexes. The ETa of the processing tomato estimated by the algorithms throughout the cycle varied between 0.85 and 5.20 mm day-1, in general average. The SAFER model provided a better correlation with standard methods when compared to METRIC, with a correlation coefficient ranging from 0.64 to 0.99. The algorithms showed good statistical performance in the estimation of ETa in phases II and III of the processing tomato. The diagnosis of irrigation management indicated that in all the evaluated areas there were errors in irrigation management, when considering the total water applied in the cycle. The results showed that the water demands varied from 280.3 to 436.8 mm, in 109 to 129 days of cycle. The average error for excess water applied was 83.4 mm, representing 77.8% of the analyzed areas, and the deficit error was 39.3 mm, corresponding to 22.2% of the analyzed areas. The study also revealed that in all areas the irrigation was carried out at the wrong frequency, which may have caused the runoff of water on the soil surface. These results point to an incorrect management of irrigation in the production of processing tomatoes in Goiás.O cultivo do tomate para processamento industrial em Goiás é realizado no período de estiagem, fazendo-se necessário o uso da irrigação, entretanto, usualmente o seu manejo é realizado de forma empírica, o que pode acarretar erros por excesso ou déficit hídrico. Dessa maneira, monitorar o manejo atual da irrigação, assim como, aprimorar os conhecimentos sobre a evapotranspiração da cultura, são práticas fundamentais para melhorar os dimensionamentos de novos projetos de irrigação, a gestão dos recursos hídricos e o manejo da irrigação. Assim, o presente trabalho teve como objetivo avaliar o desempenho dos algoritmos Simple Algorithm For Evapotranspiration Retrieving (SAFER) e Mapping Evapotranspiration at high Resolution using Internalized Calibration (METRIC) na estimativa da evapotranspiração atual (ETa) do tomate para processamento industrial e analisar o uso da água de irrigação desta cultura no centro-sul de Goiás. Ambos estudos foram realizados em nove áreas em que se produz tomate para processamento industrial irrigadas por pivô central, em Goiás, durante o ano de 2018 e 2019. O estudo foi dividido em duas etapas: na primeira etapa, utilizando imagens do satélite Landsat 8 OLI/TIRS, para estimativa da ETa pelos modelos SAFER e METRIC comparando com a ET obtida pelos métodos da FAO, Embrapa e balanço hídrico do solo a partir de índices estatísticos. Na segunda etapa, para o monitoramento da irrigação do tomate para processamento industrial, as lâminas de irrigações foram registradas com o uso de pluviômetros instalados nas áreas de cultivo e as demandas hídricas foram estimadas de acordo com as recomendações da FAO, utilizando o Kc da Embrapa. A ETa do tomateiro para processamento industrial estimada pelos algoritmos durante todo o ciclo variou entre 0,85 e 5,20 mm dia-1, em média geral. O modelo SAFER proporcionou melhor correlação com os métodos padrões quando comparado com o METRIC, com coeficiente de correlação variando de 0,64 a 0,99. Os algoritmos apresentaram bons desempenho estatísticos na estimativa da ETa nas fases II e III do tomate para processamento industrial. Já o diagnóstico do manejo da irrigação indicou que em todas as áreas avaliadas ocorreram erros nos manejos de irrigação, ao considerar o total de água aplicado no ciclo. Os resultados mostraram que as demandas hídricas variaram de 280,3 a 436,8 mm, em 109 a 129 dias de ciclo. O erro médio por excesso de água aplicada foi de 83,4 mm, representando 77,8% das áreas analisadas, e o erro por déficit foi de 39,3 mm, correspondendo a 22,2% das áreas analisadas. O estudo ainda revelou que em todas as áreas as irrigações foram realizadas na frequência errada o que pode ter ocasionado o escoamento de água na superfície do solo. Estes resultados apontam para um manejo incorreto da irrigação na produção de tomate para processamento industrial em Goiás.Submitted by Marlene Santos (marlene.bc.ufg@gmail.com) on 2021-05-10T15:33:27Z No. of bitstreams: 2 license_rdf: 805 bytes, checksum: 4460e5956bc1d1639be9ae6146a50347 (MD5) Tese - Carolina Carvalho Rocha Sena - 2021.pdf: 4500359 bytes, checksum: 7290744fc735be15731b2ba399544281 (MD5)Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2021-05-11T10:46:43Z (GMT) No. of bitstreams: 2 license_rdf: 805 bytes, checksum: 4460e5956bc1d1639be9ae6146a50347 (MD5) Tese - Carolina Carvalho Rocha Sena - 2021.pdf: 4500359 bytes, checksum: 7290744fc735be15731b2ba399544281 (MD5)Made available in DSpace on 2021-05-11T10:46:43Z (GMT). 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dc.title.pt_BR.fl_str_mv Uso do sensoriamento remoto para a estimativa da evapotranspiração atual e diagnóstico do manejo da irrigação da cultura do tomate industrial em Goiás
dc.title.alternative.eng.fl_str_mv Use of remote sensing to estimate current evapotranspiration and diagnosis of irrigation management for industrial tomato crops in Goiás
title Uso do sensoriamento remoto para a estimativa da evapotranspiração atual e diagnóstico do manejo da irrigação da cultura do tomate industrial em Goiás
spellingShingle Uso do sensoriamento remoto para a estimativa da evapotranspiração atual e diagnóstico do manejo da irrigação da cultura do tomate industrial em Goiás
Sena, Carolina Carvalho Rocha
Solanum lycopersicum L.
Manejo da irrigação
Geoprocessamento
Landsat 8
Pivô central
Water management
Geoprocessing
Center pivot
CIENCIAS AGRARIAS::AGRONOMIA::CIENCIA DO SOLO
title_short Uso do sensoriamento remoto para a estimativa da evapotranspiração atual e diagnóstico do manejo da irrigação da cultura do tomate industrial em Goiás
title_full Uso do sensoriamento remoto para a estimativa da evapotranspiração atual e diagnóstico do manejo da irrigação da cultura do tomate industrial em Goiás
title_fullStr Uso do sensoriamento remoto para a estimativa da evapotranspiração atual e diagnóstico do manejo da irrigação da cultura do tomate industrial em Goiás
title_full_unstemmed Uso do sensoriamento remoto para a estimativa da evapotranspiração atual e diagnóstico do manejo da irrigação da cultura do tomate industrial em Goiás
title_sort Uso do sensoriamento remoto para a estimativa da evapotranspiração atual e diagnóstico do manejo da irrigação da cultura do tomate industrial em Goiás
author Sena, Carolina Carvalho Rocha
author_facet Sena, Carolina Carvalho Rocha
author_role author
dc.contributor.advisor1.fl_str_mv Alves Júnior, José
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/3418524049655817
dc.contributor.advisor-co1.fl_str_mv Souza, João Maurício Fernandes
dc.contributor.advisor-co1Lattes.fl_str_mv http://lattes.cnpq.br/3353704329752144
dc.contributor.advisor-co2.fl_str_mv Battisti, Rafael
dc.contributor.advisor-co2Lattes.fl_str_mv http://lattes.cnpq.br/9350992609794419
dc.contributor.referee1.fl_str_mv Alves Júnior, José
dc.contributor.referee2.fl_str_mv Casaroli, Derblai
dc.contributor.referee3.fl_str_mv Heinemann, Alexandre Bryan
dc.contributor.referee4.fl_str_mv Giongo, Pedro Rogério
dc.contributor.referee5.fl_str_mv Bezerra, Ricardo de Souza
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/3547725424172689
dc.contributor.author.fl_str_mv Sena, Carolina Carvalho Rocha
contributor_str_mv Alves Júnior, José
Souza, João Maurício Fernandes
Battisti, Rafael
Alves Júnior, José
Casaroli, Derblai
Heinemann, Alexandre Bryan
Giongo, Pedro Rogério
Bezerra, Ricardo de Souza
dc.subject.por.fl_str_mv Solanum lycopersicum L.
Manejo da irrigação
Geoprocessamento
Landsat 8
Pivô central
topic Solanum lycopersicum L.
Manejo da irrigação
Geoprocessamento
Landsat 8
Pivô central
Water management
Geoprocessing
Center pivot
CIENCIAS AGRARIAS::AGRONOMIA::CIENCIA DO SOLO
dc.subject.eng.fl_str_mv Water management
Geoprocessing
Center pivot
dc.subject.cnpq.fl_str_mv CIENCIAS AGRARIAS::AGRONOMIA::CIENCIA DO SOLO
description The cultivation of processing tomatoes in Goiás is carried out during the dry season, making irrigation necessary, however, usually its management is carried out empirically, which can lead to errors due to excess or water deficit. Thus, monitoring current irrigation management, as well as improving knowledge about crop evapotranspiration, are fundamental practices to improve the sizing of new irrigation projects, the management of water resources and the management of irrigation. Thus, this study aimed to evaluate the performance of the Simple Algorithm For Evapotranspiration Retrieving (SAFER) and Mapping Evapotranspiration at high Resolution using Internalized Calibration (METRIC) algorithms to estimate the current evapotranspiration (ETa) of processing tomatoes and to analyze the use of tomatoes of irrigation water for this crop in south-central Goiás. Both studies were carried out in nine areas where processing tomatoes irrigated by a central pivot, in Goiás, during 2018 and 2019. The study was divided into two stages: in the first stage, using images from the Landsat 8 OLI/TIRS, for estimation of ETa by SAFER and METRIC models comparing with ET obtained by FAO, Embrapa and soil water balance based on statistical indexes. The ETa of the processing tomato estimated by the algorithms throughout the cycle varied between 0.85 and 5.20 mm day-1, in general average. The SAFER model provided a better correlation with standard methods when compared to METRIC, with a correlation coefficient ranging from 0.64 to 0.99. The algorithms showed good statistical performance in the estimation of ETa in phases II and III of the processing tomato. The diagnosis of irrigation management indicated that in all the evaluated areas there were errors in irrigation management, when considering the total water applied in the cycle. The results showed that the water demands varied from 280.3 to 436.8 mm, in 109 to 129 days of cycle. The average error for excess water applied was 83.4 mm, representing 77.8% of the analyzed areas, and the deficit error was 39.3 mm, corresponding to 22.2% of the analyzed areas. The study also revealed that in all areas the irrigation was carried out at the wrong frequency, which may have caused the runoff of water on the soil surface. These results point to an incorrect management of irrigation in the production of processing tomatoes in Goiás.
publishDate 2021
dc.date.accessioned.fl_str_mv 2021-05-11T10:46:43Z
dc.date.available.fl_str_mv 2021-05-11T10:46:43Z
dc.date.issued.fl_str_mv 2021-02-26
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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dc.identifier.citation.fl_str_mv SENA, C. C. R. Uso do sensoriamento remoto para a estimativa da evapotranspiração atual e diagnóstico do manejo da irrigação da cultura do tomate industrial em Goiás. 2021. 135 f. Tese (Doutorado em Agronomia) - Universidade Federal de Goiás, Goiânia, 2021.
dc.identifier.uri.fl_str_mv http://repositorio.bc.ufg.br/tede/handle/tede/11361
identifier_str_mv SENA, C. C. R. Uso do sensoriamento remoto para a estimativa da evapotranspiração atual e diagnóstico do manejo da irrigação da cultura do tomate industrial em Goiás. 2021. 135 f. Tese (Doutorado em Agronomia) - Universidade Federal de Goiás, Goiânia, 2021.
url http://repositorio.bc.ufg.br/tede/handle/tede/11361
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language por
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dc.relation.confidence.fl_str_mv 500
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dc.relation.department.fl_str_mv 2
dc.relation.cnpq.fl_str_mv 20
dc.relation.sponsorship.fl_str_mv 1
dc.rights.driver.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Universidade Federal de Goiás
dc.publisher.program.fl_str_mv Programa de Pós-graduação em Agronomia (EA)
dc.publisher.initials.fl_str_mv UFG
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv Escola de Agronomia - EA (RG)
publisher.none.fl_str_mv Universidade Federal de Goiás
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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
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