TVDI estimate to assess water conditions in sugarcane production areas in the Brazilian semiarid region.
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.26848/rbgf.v15.5.p2301-2312 http://hdl.handle.net/11449/240743 |
Resumo: | Sugarcane is one of the most important agricultural crops for the Brazilian market. Monitoring its water demand is essential for proper management, and from this, it is possible to evaluate and measure the morphophysiological development of plants, following their growth throughout the cycle. There are several biophysical parameters that estimate the water conditions of the crop, including the Temperature Vegetation Dryness Index – TVDI. The objective of this work was used TVDI to evaluate water conditions in sugarcane production areas in Brazil semiarid through the relationship of biophysical parameters using geoprocessing and remote sensing techniques. The highest average of 0.64 TVDI was found on the dates 2014/09/22 and 2016/08/10 both with 64.0% of dry area. The lowest TVDI average, 0.41, occurred on 2013/30/05. Elevated TVDI is related to the initial stages and after harvest, periods when the soil is most exposed to high global radiation and dryness. The lowest values of TVDI were found in the advanced development stages when the crop showed high density, covering the soil and decreasing the level of dryness. TVDI proved to be able to characterize the complexity of the dryness of the surface conditioned to the different differences and levels of sugar cane biomass that covered the soil, helping in the irrigation management, leading to more effective and accurate actions. |
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spelling |
TVDI estimate to assess water conditions in sugarcane production areas in the Brazilian semiarid region.Estimativa do TVDI para avaliação das condições hídricas em áreas de produção de cana-de-açúcar no semiárido brasileiro.drynessgeotechnologyirrigationtriangle methodSugarcane is one of the most important agricultural crops for the Brazilian market. Monitoring its water demand is essential for proper management, and from this, it is possible to evaluate and measure the morphophysiological development of plants, following their growth throughout the cycle. There are several biophysical parameters that estimate the water conditions of the crop, including the Temperature Vegetation Dryness Index – TVDI. The objective of this work was used TVDI to evaluate water conditions in sugarcane production areas in Brazil semiarid through the relationship of biophysical parameters using geoprocessing and remote sensing techniques. The highest average of 0.64 TVDI was found on the dates 2014/09/22 and 2016/08/10 both with 64.0% of dry area. The lowest TVDI average, 0.41, occurred on 2013/30/05. Elevated TVDI is related to the initial stages and after harvest, periods when the soil is most exposed to high global radiation and dryness. The lowest values of TVDI were found in the advanced development stages when the crop showed high density, covering the soil and decreasing the level of dryness. TVDI proved to be able to characterize the complexity of the dryness of the surface conditioned to the different differences and levels of sugar cane biomass that covered the soil, helping in the irrigation management, leading to more effective and accurate actions.Fundação de Amparo à Ciência e Tecnologia do Estado de PernambucoUniversidade Estadual Paulista Júlio de Mesquita Filho(UNESP) departamento de Engenharia AmbientalUniversidade Federal Rural de Pernambuco (UFRPE)Universidade Estadual Paulista Júlio de Mesquita Filho(UNESP) departamento de Engenharia AmbientalUniversidade Estadual Paulista (UNESP)Universidade Federal Rural de Pernambuco (UFRPE)Martins, Caick M. R. [UNESP]Lopes, Pabrício Marcos OliveiraMartins, Antonio Cesar Germano [UNESP]2023-03-01T20:30:50Z2023-03-01T20:30:50Z2022-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article2301-2312http://dx.doi.org/10.26848/rbgf.v15.5.p2301-2312Revista Brasileira de Geografia Fisica, v. 15, n. 5, p. 2301-2312, 2022.1984-2295http://hdl.handle.net/11449/24074310.26848/rbgf.v15.5.p2301-23122-s2.0-85137053687Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporRevista Brasileira de Geografia Fisicainfo:eu-repo/semantics/openAccess2023-03-01T20:30:50Zoai:repositorio.unesp.br:11449/240743Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T15:15:30.823481Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
TVDI estimate to assess water conditions in sugarcane production areas in the Brazilian semiarid region. Estimativa do TVDI para avaliação das condições hídricas em áreas de produção de cana-de-açúcar no semiárido brasileiro. |
title |
TVDI estimate to assess water conditions in sugarcane production areas in the Brazilian semiarid region. |
spellingShingle |
TVDI estimate to assess water conditions in sugarcane production areas in the Brazilian semiarid region. Martins, Caick M. R. [UNESP] dryness geotechnology irrigation triangle method |
title_short |
TVDI estimate to assess water conditions in sugarcane production areas in the Brazilian semiarid region. |
title_full |
TVDI estimate to assess water conditions in sugarcane production areas in the Brazilian semiarid region. |
title_fullStr |
TVDI estimate to assess water conditions in sugarcane production areas in the Brazilian semiarid region. |
title_full_unstemmed |
TVDI estimate to assess water conditions in sugarcane production areas in the Brazilian semiarid region. |
title_sort |
TVDI estimate to assess water conditions in sugarcane production areas in the Brazilian semiarid region. |
author |
Martins, Caick M. R. [UNESP] |
author_facet |
Martins, Caick M. R. [UNESP] Lopes, Pabrício Marcos Oliveira Martins, Antonio Cesar Germano [UNESP] |
author_role |
author |
author2 |
Lopes, Pabrício Marcos Oliveira Martins, Antonio Cesar Germano [UNESP] |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) Universidade Federal Rural de Pernambuco (UFRPE) |
dc.contributor.author.fl_str_mv |
Martins, Caick M. R. [UNESP] Lopes, Pabrício Marcos Oliveira Martins, Antonio Cesar Germano [UNESP] |
dc.subject.por.fl_str_mv |
dryness geotechnology irrigation triangle method |
topic |
dryness geotechnology irrigation triangle method |
description |
Sugarcane is one of the most important agricultural crops for the Brazilian market. Monitoring its water demand is essential for proper management, and from this, it is possible to evaluate and measure the morphophysiological development of plants, following their growth throughout the cycle. There are several biophysical parameters that estimate the water conditions of the crop, including the Temperature Vegetation Dryness Index – TVDI. The objective of this work was used TVDI to evaluate water conditions in sugarcane production areas in Brazil semiarid through the relationship of biophysical parameters using geoprocessing and remote sensing techniques. The highest average of 0.64 TVDI was found on the dates 2014/09/22 and 2016/08/10 both with 64.0% of dry area. The lowest TVDI average, 0.41, occurred on 2013/30/05. Elevated TVDI is related to the initial stages and after harvest, periods when the soil is most exposed to high global radiation and dryness. The lowest values of TVDI were found in the advanced development stages when the crop showed high density, covering the soil and decreasing the level of dryness. TVDI proved to be able to characterize the complexity of the dryness of the surface conditioned to the different differences and levels of sugar cane biomass that covered the soil, helping in the irrigation management, leading to more effective and accurate actions. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01 2023-03-01T20:30:50Z 2023-03-01T20:30:50Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.26848/rbgf.v15.5.p2301-2312 Revista Brasileira de Geografia Fisica, v. 15, n. 5, p. 2301-2312, 2022. 1984-2295 http://hdl.handle.net/11449/240743 10.26848/rbgf.v15.5.p2301-2312 2-s2.0-85137053687 |
url |
http://dx.doi.org/10.26848/rbgf.v15.5.p2301-2312 http://hdl.handle.net/11449/240743 |
identifier_str_mv |
Revista Brasileira de Geografia Fisica, v. 15, n. 5, p. 2301-2312, 2022. 1984-2295 10.26848/rbgf.v15.5.p2301-2312 2-s2.0-85137053687 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
Revista Brasileira de Geografia Fisica |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
2301-2312 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
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1808128489669263360 |