Soil moisture assessed by digital mapping techniques and its field validation

Detalhes bibliográficos
Autor(a) principal: Silva, Bruno Montoani
Data de Publicação: 2014
Outros Autores: Silva, Sérgio Henrique Godinho, Oliveira, Geraldo César de, Peters, Petrus Hubertus Caspar Rosa, Santos, Walbert Júnior Reis dos, Curi, Nilton
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/13088
Resumo: Digital techniques and tools can assist not only in the prediction of soil properties, such as soil moisture, but also in planning the use and management of areas for agriculture and, or, environmental purposes. In this sense, this work aimed to study wetness indexes methods, defining the spatial resolution and selecting the estimation method that best correlates with water content data measured in the field, evaluating even moisture at different soil depths and seasons. This study was developed in a landscape with strongly undulated relief and covered with Nitosols at the summit and upper middle third, and Argisols at the low middle third, ranging in altitude from 845 to 890 m, located in the southern state of Minas Gerais, Brazil. It were performed analyses of Pearson linear correlation between soil moisture determined in the field, at depths of 10, 20, 30, 40, 60 and 100 cm and the water storage in 0-100 cm depth, and the topographic and SAGA wetness indexes, TWI and SWI, respectively, obtained from digital elevation models at different spatial resolutions. In most studied conditions, the TWI with resolution of 10 m provided better results, particularly for the dry season. In this study, only the depth of 100 cm resulted in a significant and positive correlation, suggesting that the moisture levels are suitable for water dynamic studies in the subsurface, assisting in studies of hydrological dynamics and planning the soil use and management, especially for perennial plants with deeper root systems.
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spelling Soil moisture assessed by digital mapping techniques and its field validationUmidade do solo obtida por técnicas de mapeamento digital e sua validação de campoTerrain attributesSoil water content determinationReliefWater dynamicsDigital mapping techniquesAtributos de terrenoDeterminação do conteúdo de água no soloRelevoDinâmica da águaTécnicas de mapeamento digitalDigital techniques and tools can assist not only in the prediction of soil properties, such as soil moisture, but also in planning the use and management of areas for agriculture and, or, environmental purposes. In this sense, this work aimed to study wetness indexes methods, defining the spatial resolution and selecting the estimation method that best correlates with water content data measured in the field, evaluating even moisture at different soil depths and seasons. This study was developed in a landscape with strongly undulated relief and covered with Nitosols at the summit and upper middle third, and Argisols at the low middle third, ranging in altitude from 845 to 890 m, located in the southern state of Minas Gerais, Brazil. It were performed analyses of Pearson linear correlation between soil moisture determined in the field, at depths of 10, 20, 30, 40, 60 and 100 cm and the water storage in 0-100 cm depth, and the topographic and SAGA wetness indexes, TWI and SWI, respectively, obtained from digital elevation models at different spatial resolutions. In most studied conditions, the TWI with resolution of 10 m provided better results, particularly for the dry season. In this study, only the depth of 100 cm resulted in a significant and positive correlation, suggesting that the moisture levels are suitable for water dynamic studies in the subsurface, assisting in studies of hydrological dynamics and planning the soil use and management, especially for perennial plants with deeper root systems.Técnicas e ferramentas digitais podem auxiliar na predição de propriedades do solo, a exemplo da umidade do solo, auxiliando no planejamento do uso e manejo de áreas com fins agrícolas e/ou ambientais. Nesse sentido, objetivou-se estudar índices de umidade, definir a resolução espacial e selecionar o método de estimativa que melhor se correlaciona com dados de teor de água medidos em campo, avaliando-se, ainda, a umidade em diferentes profundidades do solo e épocas do ano. Este estudo foi desenvolvido em uma paisagem com relevo forte ondulado e recoberta por Nitossolo no topo e no terço médio superior, e Argissolo no terço médio inferior, em altitude variando de 845 a 890 m, no sul do Estado de Minas Gerais, Brasil. Foram realizadas análises de correlação linear de Pearson entre a umidade do solo determinada em campo, nas profundidades de 10, 20, 30, 40, 60 e 100 cm além do armazenamento de água na camada 0-100 cm, e os índices de umidade TWI (índice topográfico de umidade) e SWI (índice de umidade SAGA) obtidos a partir de modelos digitais de elevação em diferentes resoluções espaciais. Na maioria das situações estudadas, o índice TWI com resolução de 10 m condicionou melhores resultados, particularmente no período seco do ano. Neste estudo, apenas para a profundidade de 100 cm houve correlação positiva e significativa, sugerindo que os índices de umidade são indicados para estudos de dinâmica da água em subsuperfície, auxiliando nos estudos de dinâmica hidrológica e no planejamento de uso e manejo do solo, especialmente no caso de plantas perenes com sistema radicular mais profundo.Universidade Federal de Lavras2017-05-31T18:54:31Z2017-05-31T18:54:31Z2014-03info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfSILVA, B. M. et al. Soil moisture assessed by digital mapping techniques and its field validation. Ciência e Agrotecnologia, Lavras, v. 38, n. 2, p.140-148, mar./abr. 2014.http://repositorio.ufla.br/jspui/handle/1/13088Ciência e Agrotecnologiareponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLASilva, Bruno MontoaniSilva, Sérgio Henrique GodinhoOliveira, Geraldo César dePeters, Petrus Hubertus Caspar RosaSantos, Walbert Júnior Reis dosCuri, Niltoninfo:eu-repo/semantics/openAccesseng2017-05-31T18:54:31Zoai:localhost:1/13088Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2017-05-31T18:54:31Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Soil moisture assessed by digital mapping techniques and its field validation
Umidade do solo obtida por técnicas de mapeamento digital e sua validação de campo
title Soil moisture assessed by digital mapping techniques and its field validation
spellingShingle Soil moisture assessed by digital mapping techniques and its field validation
Silva, Bruno Montoani
Terrain attributes
Soil water content determination
Relief
Water dynamics
Digital mapping techniques
Atributos de terreno
Determinação do conteúdo de água no solo
Relevo
Dinâmica da água
Técnicas de mapeamento digital
title_short Soil moisture assessed by digital mapping techniques and its field validation
title_full Soil moisture assessed by digital mapping techniques and its field validation
title_fullStr Soil moisture assessed by digital mapping techniques and its field validation
title_full_unstemmed Soil moisture assessed by digital mapping techniques and its field validation
title_sort Soil moisture assessed by digital mapping techniques and its field validation
author Silva, Bruno Montoani
author_facet Silva, Bruno Montoani
Silva, Sérgio Henrique Godinho
Oliveira, Geraldo César de
Peters, Petrus Hubertus Caspar Rosa
Santos, Walbert Júnior Reis dos
Curi, Nilton
author_role author
author2 Silva, Sérgio Henrique Godinho
Oliveira, Geraldo César de
Peters, Petrus Hubertus Caspar Rosa
Santos, Walbert Júnior Reis dos
Curi, Nilton
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Silva, Bruno Montoani
Silva, Sérgio Henrique Godinho
Oliveira, Geraldo César de
Peters, Petrus Hubertus Caspar Rosa
Santos, Walbert Júnior Reis dos
Curi, Nilton
dc.subject.por.fl_str_mv Terrain attributes
Soil water content determination
Relief
Water dynamics
Digital mapping techniques
Atributos de terreno
Determinação do conteúdo de água no solo
Relevo
Dinâmica da água
Técnicas de mapeamento digital
topic Terrain attributes
Soil water content determination
Relief
Water dynamics
Digital mapping techniques
Atributos de terreno
Determinação do conteúdo de água no solo
Relevo
Dinâmica da água
Técnicas de mapeamento digital
description Digital techniques and tools can assist not only in the prediction of soil properties, such as soil moisture, but also in planning the use and management of areas for agriculture and, or, environmental purposes. In this sense, this work aimed to study wetness indexes methods, defining the spatial resolution and selecting the estimation method that best correlates with water content data measured in the field, evaluating even moisture at different soil depths and seasons. This study was developed in a landscape with strongly undulated relief and covered with Nitosols at the summit and upper middle third, and Argisols at the low middle third, ranging in altitude from 845 to 890 m, located in the southern state of Minas Gerais, Brazil. It were performed analyses of Pearson linear correlation between soil moisture determined in the field, at depths of 10, 20, 30, 40, 60 and 100 cm and the water storage in 0-100 cm depth, and the topographic and SAGA wetness indexes, TWI and SWI, respectively, obtained from digital elevation models at different spatial resolutions. In most studied conditions, the TWI with resolution of 10 m provided better results, particularly for the dry season. In this study, only the depth of 100 cm resulted in a significant and positive correlation, suggesting that the moisture levels are suitable for water dynamic studies in the subsurface, assisting in studies of hydrological dynamics and planning the soil use and management, especially for perennial plants with deeper root systems.
publishDate 2014
dc.date.none.fl_str_mv 2014-03
2017-05-31T18:54:31Z
2017-05-31T18:54:31Z
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 SILVA, B. M. et al. Soil moisture assessed by digital mapping techniques and its field validation. Ciência e Agrotecnologia, Lavras, v. 38, n. 2, p.140-148, mar./abr. 2014.
http://repositorio.ufla.br/jspui/handle/1/13088
identifier_str_mv SILVA, B. M. et al. Soil moisture assessed by digital mapping techniques and its field validation. Ciência e Agrotecnologia, Lavras, v. 38, n. 2, p.140-148, mar./abr. 2014.
url http://repositorio.ufla.br/jspui/handle/1/13088
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Lavras
publisher.none.fl_str_mv Universidade Federal de Lavras
dc.source.none.fl_str_mv Ciência e Agrotecnologia
reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv nivaldo@ufla.br || repositorio.biblioteca@ufla.br
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