Mid-Infrared Spectrum Analysis for Mapping Attributes of Cohesive Soils in Brazil
Autor(a) principal: | |
---|---|
Data de Publicação: | 2022 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1080/00103624.2022.2046027 http://hdl.handle.net/11449/234243 |
Resumo: | Diffuse reflectance spectroscopy is a promising technique for advances in soil studies. Thus, the objective of this work was to evaluate the efficiency of diffuse reflectance spectroscopy in the mid-infrared range to estimate the sand, silt, clay, pH, H+ Al, sum of bases, organic matter contents, phosphorus, and remaining phosphorus of Argissolo Amarelo distrocoeso típico (Typic Hapludult) in the state of Maranhão, Brazil. Two areas with different characteristics were selected for sampling: Area 1 and Area 2. A square sampling grid with 121 points was used for each area. Samples were collected from the 0.0–0.2 m soil layer. The spectra were recorded in the mid-infrared range (2500–25000 nm; 4000–400 cm−1) at 8 cm−1 resolution. The data of Area 1 were used for chemometric model calibrations by Partial Least Squares Regression analysis. The data of Area 2 were used for the geostatistical modeling. All attributes presented, in general, positive calibration parameters, with adjusted coefficient of determination (R2adj) for sand (0.76), silt (0.51), clay (0.77), pH (0.51), H+ Al (0.45), sum of bases (0.75), organic matter contents (0.71) and remaining phosphorus (0.6), and residual prediction deviation equal to or higher than 1.4, except for phosphorus. The lowest prediction errors were found for sand (17%) and silt (19%) contents, pH (15%), and remaining phosphorus (8%). The distribution of spatial attributes–measured and predicted–presented positive correlation, confirming the potential of diffuse reflectance spectroscopy as an alternative for prediction of soil attributes. |
id |
UNSP_aabd14e02077478d45525ecbcb084f0b |
---|---|
oai_identifier_str |
oai:repositorio.unesp.br:11449/234243 |
network_acronym_str |
UNSP |
network_name_str |
Repositório Institucional da UNESP |
repository_id_str |
2946 |
spelling |
Mid-Infrared Spectrum Analysis for Mapping Attributes of Cohesive Soils in Brazilcerrado biomechemometricsDiffuse reflectance spectroscopygeostatisticsmaranhão statepartial least squares regressionDiffuse reflectance spectroscopy is a promising technique for advances in soil studies. Thus, the objective of this work was to evaluate the efficiency of diffuse reflectance spectroscopy in the mid-infrared range to estimate the sand, silt, clay, pH, H+ Al, sum of bases, organic matter contents, phosphorus, and remaining phosphorus of Argissolo Amarelo distrocoeso típico (Typic Hapludult) in the state of Maranhão, Brazil. Two areas with different characteristics were selected for sampling: Area 1 and Area 2. A square sampling grid with 121 points was used for each area. Samples were collected from the 0.0–0.2 m soil layer. The spectra were recorded in the mid-infrared range (2500–25000 nm; 4000–400 cm−1) at 8 cm−1 resolution. The data of Area 1 were used for chemometric model calibrations by Partial Least Squares Regression analysis. The data of Area 2 were used for the geostatistical modeling. All attributes presented, in general, positive calibration parameters, with adjusted coefficient of determination (R2adj) for sand (0.76), silt (0.51), clay (0.77), pH (0.51), H+ Al (0.45), sum of bases (0.75), organic matter contents (0.71) and remaining phosphorus (0.6), and residual prediction deviation equal to or higher than 1.4, except for phosphorus. The lowest prediction errors were found for sand (17%) and silt (19%) contents, pH (15%), and remaining phosphorus (8%). The distribution of spatial attributes–measured and predicted–presented positive correlation, confirming the potential of diffuse reflectance spectroscopy as an alternative for prediction of soil attributes.Department of Agronomy Federal University of Piauí Professora Cinobelina Elvas Campus, PISão Paulo State University Faculty of Agricultural and Veterinary Sciences Department of Soils and Fertilizers, SPDepartment of Agronomy University of Córdoba, Rabanales CampusFederal University of Campina Grande Center for Science and Agri-Food Technology Academic Unit of Agrarian SciencesFederal University of Maranhão Center for Agricultural and Environmental SciencesSão Paulo State University Faculty of Agricultural and Veterinary Sciences Department of Soils and Fertilizers, SPProfessora Cinobelina Elvas CampusUniversidade Estadual Paulista (UNESP)University of CórdobaAcademic Unit of Agrarian SciencesCenter for Agricultural and Environmental SciencesPorto de Oliveira, RomárioBarbosa, Ronny SobreiraMarques Júnior, José [UNESP]Jacques Agra Bezerra da Silva, YuriBarrón, VidalSilva Dantas, JussaraMaria Do Amaral Resende, JoséVeniciús Santana Gualberto, Adriano2022-05-01T15:13:37Z2022-05-01T15:13:37Z2022-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1080/00103624.2022.2046027Communications in Soil Science and Plant Analysis.1532-24160010-3624http://hdl.handle.net/11449/23424310.1080/00103624.2022.20460272-s2.0-85125937003Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengCommunications in Soil Science and Plant Analysisinfo:eu-repo/semantics/openAccess2024-06-07T14:23:28Zoai:repositorio.unesp.br:11449/234243Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:45:25.389407Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Mid-Infrared Spectrum Analysis for Mapping Attributes of Cohesive Soils in Brazil |
title |
Mid-Infrared Spectrum Analysis for Mapping Attributes of Cohesive Soils in Brazil |
spellingShingle |
Mid-Infrared Spectrum Analysis for Mapping Attributes of Cohesive Soils in Brazil Porto de Oliveira, Romário cerrado biome chemometrics Diffuse reflectance spectroscopy geostatistics maranhão state partial least squares regression |
title_short |
Mid-Infrared Spectrum Analysis for Mapping Attributes of Cohesive Soils in Brazil |
title_full |
Mid-Infrared Spectrum Analysis for Mapping Attributes of Cohesive Soils in Brazil |
title_fullStr |
Mid-Infrared Spectrum Analysis for Mapping Attributes of Cohesive Soils in Brazil |
title_full_unstemmed |
Mid-Infrared Spectrum Analysis for Mapping Attributes of Cohesive Soils in Brazil |
title_sort |
Mid-Infrared Spectrum Analysis for Mapping Attributes of Cohesive Soils in Brazil |
author |
Porto de Oliveira, Romário |
author_facet |
Porto de Oliveira, Romário Barbosa, Ronny Sobreira Marques Júnior, José [UNESP] Jacques Agra Bezerra da Silva, Yuri Barrón, Vidal Silva Dantas, Jussara Maria Do Amaral Resende, José Veniciús Santana Gualberto, Adriano |
author_role |
author |
author2 |
Barbosa, Ronny Sobreira Marques Júnior, José [UNESP] Jacques Agra Bezerra da Silva, Yuri Barrón, Vidal Silva Dantas, Jussara Maria Do Amaral Resende, José Veniciús Santana Gualberto, Adriano |
author2_role |
author author author author author author author |
dc.contributor.none.fl_str_mv |
Professora Cinobelina Elvas Campus Universidade Estadual Paulista (UNESP) University of Córdoba Academic Unit of Agrarian Sciences Center for Agricultural and Environmental Sciences |
dc.contributor.author.fl_str_mv |
Porto de Oliveira, Romário Barbosa, Ronny Sobreira Marques Júnior, José [UNESP] Jacques Agra Bezerra da Silva, Yuri Barrón, Vidal Silva Dantas, Jussara Maria Do Amaral Resende, José Veniciús Santana Gualberto, Adriano |
dc.subject.por.fl_str_mv |
cerrado biome chemometrics Diffuse reflectance spectroscopy geostatistics maranhão state partial least squares regression |
topic |
cerrado biome chemometrics Diffuse reflectance spectroscopy geostatistics maranhão state partial least squares regression |
description |
Diffuse reflectance spectroscopy is a promising technique for advances in soil studies. Thus, the objective of this work was to evaluate the efficiency of diffuse reflectance spectroscopy in the mid-infrared range to estimate the sand, silt, clay, pH, H+ Al, sum of bases, organic matter contents, phosphorus, and remaining phosphorus of Argissolo Amarelo distrocoeso típico (Typic Hapludult) in the state of Maranhão, Brazil. Two areas with different characteristics were selected for sampling: Area 1 and Area 2. A square sampling grid with 121 points was used for each area. Samples were collected from the 0.0–0.2 m soil layer. The spectra were recorded in the mid-infrared range (2500–25000 nm; 4000–400 cm−1) at 8 cm−1 resolution. The data of Area 1 were used for chemometric model calibrations by Partial Least Squares Regression analysis. The data of Area 2 were used for the geostatistical modeling. All attributes presented, in general, positive calibration parameters, with adjusted coefficient of determination (R2adj) for sand (0.76), silt (0.51), clay (0.77), pH (0.51), H+ Al (0.45), sum of bases (0.75), organic matter contents (0.71) and remaining phosphorus (0.6), and residual prediction deviation equal to or higher than 1.4, except for phosphorus. The lowest prediction errors were found for sand (17%) and silt (19%) contents, pH (15%), and remaining phosphorus (8%). The distribution of spatial attributes–measured and predicted–presented positive correlation, confirming the potential of diffuse reflectance spectroscopy as an alternative for prediction of soil attributes. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-05-01T15:13:37Z 2022-05-01T15:13:37Z 2022-01-01 |
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/10.1080/00103624.2022.2046027 Communications in Soil Science and Plant Analysis. 1532-2416 0010-3624 http://hdl.handle.net/11449/234243 10.1080/00103624.2022.2046027 2-s2.0-85125937003 |
url |
http://dx.doi.org/10.1080/00103624.2022.2046027 http://hdl.handle.net/11449/234243 |
identifier_str_mv |
Communications in Soil Science and Plant Analysis. 1532-2416 0010-3624 10.1080/00103624.2022.2046027 2-s2.0-85125937003 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Communications in Soil Science and Plant Analysis |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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 |
|
_version_ |
1808128854042083328 |