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 Cesár de, Peters,Petrus Hubertus Caspar Rosa, Santos,Walbert Júnior Reis dos, Curi,Nilton
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Ciência e Agrotecnologia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542014000200005
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 validationTerrain attributessoil water content determinationreliefwater dynamicsDigital 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.Editora da UFLA2014-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542014000200005Ciência e Agrotecnologia v.38 n.2 2014reponame:Ciência e Agrotecnologia (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLA10.1590/S1413-70542014000200005info:eu-repo/semantics/openAccessSilva,Bruno MontoaniSilva,Sérgio Henrique GodinhoOliveira,Geraldo Cesár dePeters,Petrus Hubertus Caspar RosaSantos,Walbert Júnior Reis dosCuri,Niltoneng2014-10-07T00:00:00Zoai:scielo:S1413-70542014000200005Revistahttp://www.scielo.br/cagroPUBhttps://old.scielo.br/oai/scielo-oai.php||renpaiva@dbi.ufla.br|| editora@editora.ufla.br1981-18291413-7054opendoar:2022-11-22T16:31:19.659934Ciência e Agrotecnologia (Online) - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv Soil moisture assessed by digital mapping techniques and its field validation
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
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 Cesár de
Peters,Petrus Hubertus Caspar Rosa
Santos,Walbert Júnior Reis dos
Curi,Nilton
author_role author
author2 Silva,Sérgio Henrique Godinho
Oliveira,Geraldo Cesár 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 Cesár 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
topic Terrain attributes
soil water content determination
relief
water dynamics
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 2014-04-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542014000200005
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542014000200005
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1413-70542014000200005
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Editora da UFLA
publisher.none.fl_str_mv Editora da UFLA
dc.source.none.fl_str_mv Ciência e Agrotecnologia v.38 n.2 2014
reponame:Ciência e Agrotecnologia (Online)
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Ciência e Agrotecnologia (Online)
collection Ciência e Agrotecnologia (Online)
repository.name.fl_str_mv Ciência e Agrotecnologia (Online) - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv ||renpaiva@dbi.ufla.br|| editora@editora.ufla.br
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