Spatio-temporal variability of biophysical parameters of irrigated maize using orbital remote sensing

Detalhes bibliográficos
Autor(a) principal: Costa, Taiara Souza
Data de Publicação: 2021
Outros Autores: Santos, Robson Argolo dos, Santos, Rosângela Leal, Filgueiras, Roberto, Cunha, Fernando França da, Pereira, Anderson de Jesus, Salles, Rodrigo Amaro de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Semina. Ciências Agrárias (Online)
Texto Completo: https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/41948
Resumo: This study proposes to estimate the actual crop evapotranspiration, using the SAFER model, as well as calculate the crop coefficient (Kc) as a function of the normalized difference vegetation index (NDVI) and determine the biomass of an irrigated maize crop using images from the Operational Land Imager (OLI) and Thermal Infrared (TIRS) sensors of the Landsat-8 satellite. Pivots 21 to 26 of a commercial farm located in the municipalities of Bom Jesus da Lapa and Serra do Ramalho, west of Bahia State, Brazil, were selected. Sowing dates for each pivot were arranged as North and South or East and West, with cultivation starting firstly in one of the orientations and subsequently in the other. The relationship between NDVI and the Kc values obtained in the FAO-56 report (KcFAO) revealed a high coefficient of determination (R2 = 0.7921), showing that the variance of KcFAO can be explained by NDVI in the maize crop. Considering the center pivots with different planting dates, the crop evapotranspiration (ETc) pixel values ranged from 0.0 to 6.0 mm d-1 during the phenological cycle. The highest values were found at 199 days of the year (DOY), corresponding to around 100 days after sowing (DAS). The lowest BIO values occur at 135 DOY, at around 20 DAS. There is a relationship between ETc and BIO, where the DOY with the highest BIO are equivalent to the days with the highest ETc values. In addition to this relationship, BIO is strongly influenced by soil water availability.
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spelling Spatio-temporal variability of biophysical parameters of irrigated maize using orbital remote sensingVariabilidade espaço-temporal de parâmetros biofisícos do milho irrigado utilizando sensoriamento remoto orbitalAgrometeorological models.Irrigation managementPhenological cycle.Ciclo fenológicoManejo da irrigaçãoModelos agrometeorológicos.This study proposes to estimate the actual crop evapotranspiration, using the SAFER model, as well as calculate the crop coefficient (Kc) as a function of the normalized difference vegetation index (NDVI) and determine the biomass of an irrigated maize crop using images from the Operational Land Imager (OLI) and Thermal Infrared (TIRS) sensors of the Landsat-8 satellite. Pivots 21 to 26 of a commercial farm located in the municipalities of Bom Jesus da Lapa and Serra do Ramalho, west of Bahia State, Brazil, were selected. Sowing dates for each pivot were arranged as North and South or East and West, with cultivation starting firstly in one of the orientations and subsequently in the other. The relationship between NDVI and the Kc values obtained in the FAO-56 report (KcFAO) revealed a high coefficient of determination (R2 = 0.7921), showing that the variance of KcFAO can be explained by NDVI in the maize crop. Considering the center pivots with different planting dates, the crop evapotranspiration (ETc) pixel values ranged from 0.0 to 6.0 mm d-1 during the phenological cycle. The highest values were found at 199 days of the year (DOY), corresponding to around 100 days after sowing (DAS). The lowest BIO values occur at 135 DOY, at around 20 DAS. There is a relationship between ETc and BIO, where the DOY with the highest BIO are equivalent to the days with the highest ETc values. In addition to this relationship, BIO is strongly influenced by soil water availability.Objetivou-se com o presente estudo estimar a evapotranspiração real da cultura por meio do modelo SAFER, calcular o Kc em função do NDVI e a biomassa da cultura do milho irrigado, utilizando para isso imagens dos sensores Operacional Land Imager (OLI) e Thermal Infrared Sensor (TIRS) do satélite Landsat-8. Foram selecionados os pivôs 21 ao 26 de uma fazenda comercial localizada nos municípios de Bom Jesus da Lapa e Serra do Ramalho, situadas no oeste do estado da Bahia, Brasil. As épocas de semeadura dentro dos pivôs são ordenadas em Norte e Sul ou Leste e Oeste, iniciando o cultivo primeiro em uma das orientações e posteriormente na outra. Verifica-se com base na relação entre NDVI e KcFAO, um alto valor do coeficiente de determinação (R2=0,7921), evidenciando que a variância do KcFAO pode ser explicada pelo NDVI na cultura do milho. Considerando-se os pivôs centrais com diferentes datas de plantio, os valores dos pixels da ETc variaram de 0,0 a 6,0 mm d-1 durante o ciclo fenológico. Os maiores valores foram encontrados para o DOY 199, correspondendo ao DAS em torno de 100 dias. Os valores mais baixos da BIO ocorrem aos 135 DOY em torno de 20 DAS. É observado que existe uma relação entre a ETc e BIO, os DOY mais elevados da BIO são equivalentes com os maiores valores de ETc. Além desta relação, a BIO é fortemente influenciada pela disponibilidade hídrica no solo.UEL2021-05-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/4194810.5433/1679-0359.2021v42n4p2181Semina: Ciências Agrárias; Vol. 42 No. 4 (2021); 2181-2202Semina: Ciências Agrárias; v. 42 n. 4 (2021); 2181-22021679-03591676-546Xreponame:Semina. Ciências Agrárias (Online)instname:Universidade Estadual de Londrina (UEL)instacron:UELenghttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/41948/29653Copyright (c) 2021 Semina: Ciências Agráriashttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessCosta, Taiara SouzaSantos, Robson Argolo dosSantos, Rosângela LealFilgueiras, RobertoCunha, Fernando França daPereira, Anderson de JesusSalles, Rodrigo Amaro de2022-09-30T13:59:17Zoai:ojs.pkp.sfu.ca:article/41948Revistahttp://www.uel.br/revistas/uel/index.php/semagrariasPUBhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/oaisemina.agrarias@uel.br1679-03591676-546Xopendoar:2022-09-30T13:59:17Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)false
dc.title.none.fl_str_mv Spatio-temporal variability of biophysical parameters of irrigated maize using orbital remote sensing
Variabilidade espaço-temporal de parâmetros biofisícos do milho irrigado utilizando sensoriamento remoto orbital
title Spatio-temporal variability of biophysical parameters of irrigated maize using orbital remote sensing
spellingShingle Spatio-temporal variability of biophysical parameters of irrigated maize using orbital remote sensing
Costa, Taiara Souza
Agrometeorological models.
Irrigation management
Phenological cycle.
Ciclo fenológico
Manejo da irrigação
Modelos agrometeorológicos.
title_short Spatio-temporal variability of biophysical parameters of irrigated maize using orbital remote sensing
title_full Spatio-temporal variability of biophysical parameters of irrigated maize using orbital remote sensing
title_fullStr Spatio-temporal variability of biophysical parameters of irrigated maize using orbital remote sensing
title_full_unstemmed Spatio-temporal variability of biophysical parameters of irrigated maize using orbital remote sensing
title_sort Spatio-temporal variability of biophysical parameters of irrigated maize using orbital remote sensing
author Costa, Taiara Souza
author_facet Costa, Taiara Souza
Santos, Robson Argolo dos
Santos, Rosângela Leal
Filgueiras, Roberto
Cunha, Fernando França da
Pereira, Anderson de Jesus
Salles, Rodrigo Amaro de
author_role author
author2 Santos, Robson Argolo dos
Santos, Rosângela Leal
Filgueiras, Roberto
Cunha, Fernando França da
Pereira, Anderson de Jesus
Salles, Rodrigo Amaro de
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Costa, Taiara Souza
Santos, Robson Argolo dos
Santos, Rosângela Leal
Filgueiras, Roberto
Cunha, Fernando França da
Pereira, Anderson de Jesus
Salles, Rodrigo Amaro de
dc.subject.por.fl_str_mv Agrometeorological models.
Irrigation management
Phenological cycle.
Ciclo fenológico
Manejo da irrigação
Modelos agrometeorológicos.
topic Agrometeorological models.
Irrigation management
Phenological cycle.
Ciclo fenológico
Manejo da irrigação
Modelos agrometeorológicos.
description This study proposes to estimate the actual crop evapotranspiration, using the SAFER model, as well as calculate the crop coefficient (Kc) as a function of the normalized difference vegetation index (NDVI) and determine the biomass of an irrigated maize crop using images from the Operational Land Imager (OLI) and Thermal Infrared (TIRS) sensors of the Landsat-8 satellite. Pivots 21 to 26 of a commercial farm located in the municipalities of Bom Jesus da Lapa and Serra do Ramalho, west of Bahia State, Brazil, were selected. Sowing dates for each pivot were arranged as North and South or East and West, with cultivation starting firstly in one of the orientations and subsequently in the other. The relationship between NDVI and the Kc values obtained in the FAO-56 report (KcFAO) revealed a high coefficient of determination (R2 = 0.7921), showing that the variance of KcFAO can be explained by NDVI in the maize crop. Considering the center pivots with different planting dates, the crop evapotranspiration (ETc) pixel values ranged from 0.0 to 6.0 mm d-1 during the phenological cycle. The highest values were found at 199 days of the year (DOY), corresponding to around 100 days after sowing (DAS). The lowest BIO values occur at 135 DOY, at around 20 DAS. There is a relationship between ETc and BIO, where the DOY with the highest BIO are equivalent to the days with the highest ETc values. In addition to this relationship, BIO is strongly influenced by soil water availability.
publishDate 2021
dc.date.none.fl_str_mv 2021-05-20
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/41948
10.5433/1679-0359.2021v42n4p2181
url https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/41948
identifier_str_mv 10.5433/1679-0359.2021v42n4p2181
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/41948/29653
dc.rights.driver.fl_str_mv Copyright (c) 2021 Semina: Ciências Agrárias
http://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 Semina: Ciências Agrárias
http://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv UEL
publisher.none.fl_str_mv UEL
dc.source.none.fl_str_mv Semina: Ciências Agrárias; Vol. 42 No. 4 (2021); 2181-2202
Semina: Ciências Agrárias; v. 42 n. 4 (2021); 2181-2202
1679-0359
1676-546X
reponame:Semina. Ciências Agrárias (Online)
instname:Universidade Estadual de Londrina (UEL)
instacron:UEL
instname_str Universidade Estadual de Londrina (UEL)
instacron_str UEL
institution UEL
reponame_str Semina. Ciências Agrárias (Online)
collection Semina. Ciências Agrárias (Online)
repository.name.fl_str_mv Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)
repository.mail.fl_str_mv semina.agrarias@uel.br
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