Geomorphometric tool associated with soil types and properties spatial variability at watersheds under tropical conditions

Detalhes bibliográficos
Autor(a) principal: Silva, Sérgio Henrique Godinho
Data de Publicação: 2016
Outros Autores: Menezes, Michele Duarte de, Mello, Carlos Rogério de, Góes, Helen Thaís Pereira de, Owens, Phillip Ray, Curi, Nilton
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Scientia Agrícola (Online)
Texto Completo: https://www.revistas.usp.br/sa/article/view/117315
Resumo: The application of quantitative methods to digital soil and geomorphological mapping is becoming an increasing trend. One of these methods, Geomorphons, was developed to identify the ten most common landforms based on digital elevation models. This study aimed to make a quantitative assessment of the relationships between Geomorphons units, determined at three spatial resolutions and nine radii, and soil types and properties of two watersheds with different soil-landscape relationships in Brazil to help soil surveying and mapping under tropical conditions. The study was conducted at Lavrinha Creek (LCW) and Marcela Creek (MCW) watersheds, located in the state of Minas Gerais, Brazil. Spatial resolutions of 10, 20 and 30 m were the basis for generating Geomorphons at 9 radii of calculation for the watersheds. They were overlapped to detailed soil maps of the watersheds and a chi-square test was carried out to assess their relationship with soil types. Observation points were compared with the most highly correlated Geomorphons to also assess relationships with soil properties. Geomorphons with resolution of 30-m and radii of 20 and 50 cells, respectively for LCW and MCW, were more highly correlated with the variability of soil types, in accordance with the terrain features of these watersheds. The majority of observation points for each soil type was located in the same Geomorphon unit that was dominant when analyzing soil maps. There was less variability in soil properties between Geomorphon units, which was probably due to the highly weathered-leached stage of soils. Geomorphons can help to improve soil maps in tropical conditions when assessing soil variability due to its high correlation with tropical soil types variability.
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spelling Geomorphometric tool associated with soil types and properties spatial variability at watersheds under tropical conditions The application of quantitative methods to digital soil and geomorphological mapping is becoming an increasing trend. One of these methods, Geomorphons, was developed to identify the ten most common landforms based on digital elevation models. This study aimed to make a quantitative assessment of the relationships between Geomorphons units, determined at three spatial resolutions and nine radii, and soil types and properties of two watersheds with different soil-landscape relationships in Brazil to help soil surveying and mapping under tropical conditions. The study was conducted at Lavrinha Creek (LCW) and Marcela Creek (MCW) watersheds, located in the state of Minas Gerais, Brazil. Spatial resolutions of 10, 20 and 30 m were the basis for generating Geomorphons at 9 radii of calculation for the watersheds. They were overlapped to detailed soil maps of the watersheds and a chi-square test was carried out to assess their relationship with soil types. Observation points were compared with the most highly correlated Geomorphons to also assess relationships with soil properties. Geomorphons with resolution of 30-m and radii of 20 and 50 cells, respectively for LCW and MCW, were more highly correlated with the variability of soil types, in accordance with the terrain features of these watersheds. The majority of observation points for each soil type was located in the same Geomorphon unit that was dominant when analyzing soil maps. There was less variability in soil properties between Geomorphon units, which was probably due to the highly weathered-leached stage of soils. Geomorphons can help to improve soil maps in tropical conditions when assessing soil variability due to its high correlation with tropical soil types variability. Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz2016-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/sa/article/view/11731510.1590/0103-9016-2015-0293Scientia Agricola; v. 73 n. 4 (2016); 363-370Scientia Agricola; Vol. 73 Núm. 4 (2016); 363-370Scientia Agricola; Vol. 73 No. 4 (2016); 363-3701678-992X0103-9016reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/sa/article/view/117315/114955Copyright (c) 2016 Scientia Agricolainfo:eu-repo/semantics/openAccessSilva, Sérgio Henrique GodinhoMenezes, Michele Duarte deMello, Carlos Rogério deGóes, Helen Thaís Pereira deOwens, Phillip RayCuri, Nilton2016-07-05T13:48:55Zoai:revistas.usp.br:article/117315Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2016-07-05T13:48:55Scientia Agrícola (Online) - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Geomorphometric tool associated with soil types and properties spatial variability at watersheds under tropical conditions
title Geomorphometric tool associated with soil types and properties spatial variability at watersheds under tropical conditions
spellingShingle Geomorphometric tool associated with soil types and properties spatial variability at watersheds under tropical conditions
Silva, Sérgio Henrique Godinho
title_short Geomorphometric tool associated with soil types and properties spatial variability at watersheds under tropical conditions
title_full Geomorphometric tool associated with soil types and properties spatial variability at watersheds under tropical conditions
title_fullStr Geomorphometric tool associated with soil types and properties spatial variability at watersheds under tropical conditions
title_full_unstemmed Geomorphometric tool associated with soil types and properties spatial variability at watersheds under tropical conditions
title_sort Geomorphometric tool associated with soil types and properties spatial variability at watersheds under tropical conditions
author Silva, Sérgio Henrique Godinho
author_facet Silva, Sérgio Henrique Godinho
Menezes, Michele Duarte de
Mello, Carlos Rogério de
Góes, Helen Thaís Pereira de
Owens, Phillip Ray
Curi, Nilton
author_role author
author2 Menezes, Michele Duarte de
Mello, Carlos Rogério de
Góes, Helen Thaís Pereira de
Owens, Phillip Ray
Curi, Nilton
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Silva, Sérgio Henrique Godinho
Menezes, Michele Duarte de
Mello, Carlos Rogério de
Góes, Helen Thaís Pereira de
Owens, Phillip Ray
Curi, Nilton
description The application of quantitative methods to digital soil and geomorphological mapping is becoming an increasing trend. One of these methods, Geomorphons, was developed to identify the ten most common landforms based on digital elevation models. This study aimed to make a quantitative assessment of the relationships between Geomorphons units, determined at three spatial resolutions and nine radii, and soil types and properties of two watersheds with different soil-landscape relationships in Brazil to help soil surveying and mapping under tropical conditions. The study was conducted at Lavrinha Creek (LCW) and Marcela Creek (MCW) watersheds, located in the state of Minas Gerais, Brazil. Spatial resolutions of 10, 20 and 30 m were the basis for generating Geomorphons at 9 radii of calculation for the watersheds. They were overlapped to detailed soil maps of the watersheds and a chi-square test was carried out to assess their relationship with soil types. Observation points were compared with the most highly correlated Geomorphons to also assess relationships with soil properties. Geomorphons with resolution of 30-m and radii of 20 and 50 cells, respectively for LCW and MCW, were more highly correlated with the variability of soil types, in accordance with the terrain features of these watersheds. The majority of observation points for each soil type was located in the same Geomorphon unit that was dominant when analyzing soil maps. There was less variability in soil properties between Geomorphon units, which was probably due to the highly weathered-leached stage of soils. Geomorphons can help to improve soil maps in tropical conditions when assessing soil variability due to its high correlation with tropical soil types variability.
publishDate 2016
dc.date.none.fl_str_mv 2016-08-01
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://www.revistas.usp.br/sa/article/view/117315
10.1590/0103-9016-2015-0293
url https://www.revistas.usp.br/sa/article/view/117315
identifier_str_mv 10.1590/0103-9016-2015-0293
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.revistas.usp.br/sa/article/view/117315/114955
dc.rights.driver.fl_str_mv Copyright (c) 2016 Scientia Agricola
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2016 Scientia Agricola
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz
publisher.none.fl_str_mv Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz
dc.source.none.fl_str_mv Scientia Agricola; v. 73 n. 4 (2016); 363-370
Scientia Agricola; Vol. 73 Núm. 4 (2016); 363-370
Scientia Agricola; Vol. 73 No. 4 (2016); 363-370
1678-992X
0103-9016
reponame:Scientia Agrícola (Online)
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Scientia Agrícola (Online)
collection Scientia Agrícola (Online)
repository.name.fl_str_mv Scientia Agrícola (Online) - Universidade de São Paulo (USP)
repository.mail.fl_str_mv scientia@usp.br||alleoni@usp.br
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