Multivariate split moving windows and magnetic susceptibility for locating soil boundaries of São Paulo, Brazil

dc.contributor.authorSilva Júnior, João Fernandes da
dc.contributor.authorSiqueira, Diego Silva [UNESP]
dc.contributor.authorTeixeira, Daniel De Bortoli
dc.contributor.authorPanosso, Alan Rodrigo [UNESP]
dc.contributor.authorMarques Júnior, José [UNESP]
dc.contributor.authorPereira, Gener Tadeu [UNESP]
dc.contributor.institutionResearch Group GEOP — Geotechnologies and Pedometrics
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniversity of Marília (UNIMAR)
dc.date.accessioned2022-05-01T08:15:18Z
dc.date.available2022-05-01T08:15:18Z
dc.date.issued2021-09-01
dc.description.abstractMultivariate split moving window (MSMW) is a tool to automate soil mapping and to assess uncertainty in soil boundaries. In this paper, we propose a new approach to locate soil boundaries. We investigated the potential of (i) MSMW associated with Mahalanobis D2 and (ii) split moving window (SMW) associated with magnetic susceptibility (MS) as tools for validation of soil boundaries. A transect was lined in Guatapará city (Sao Paulo state, Brazil), and 172 soil samples were collected from 86 locations, at a depth of 0–25 and 25–50 cm, for physical and chemical analyses. Additionally, categorical properties – geology, land use, and altitude – were assessed at the same sampling points. All the data were organized into four groups of properties (G1, G2, G3, and G4) and analyzed by principal component analysis, MSMW analysis – to delineate map units using D2 –, and SMW analysis using MS. MSMW and SMW were compared regarding their potential to locate soil boundaries along the transect. The MS peaks in SMW presented a correlation with peaks of t-statistics and D2 in MSMW: (r = 0.56; p < 0.01 – r = 0.69; p < 0.01) and (r = 0.55; p < 0.01 – r = 0.64; p < 0.01) for both depth intervals (0–25 cm and 25–50 cm), respectively. MSMW was more sensitive than SMW in the detection of soil boundaries in areas with lower clay content. Compared to conventional soil surveys, MSMW considerably improved the prediction of boundaries in mapping units. We concluded that the proposed method is a promising strategy for soil surveyors and can be used to assist pedological cartography.en
dc.description.affiliationCampus of Capanema Federal Rural University of Amazon (UFRA) Research Group GEOP — Geotechnologies and Pedometrics
dc.description.affiliationDepartment of Agricultural Sciences São Paulo State University (Unesp) Research Group CSME — Soil Characterization for Specific Management
dc.description.affiliationCenter of Agrarian Sciences University of Marília (UNIMAR)
dc.description.affiliationDepartment of Engineering and Exact Sciences São Paulo State University (Unesp) Research Group CSME — Soil Characterization for Specific Management
dc.description.affiliationUnespDepartment of Agricultural Sciences São Paulo State University (Unesp) Research Group CSME — Soil Characterization for Specific Management
dc.description.affiliationUnespDepartment of Engineering and Exact Sciences São Paulo State University (Unesp) Research Group CSME — Soil Characterization for Specific Management
dc.identifierhttp://dx.doi.org/10.1016/j.geodrs.2021.e00418
dc.identifier.citationGeoderma Regional, v. 26.
dc.identifier.doi10.1016/j.geodrs.2021.e00418
dc.identifier.issn2352-0094
dc.identifier.scopus2-s2.0-85112609475
dc.identifier.urihttp://hdl.handle.net/11449/233401
dc.language.isoeng
dc.relation.ispartofGeoderma Regional
dc.sourceScopus
dc.subjectDigital soil mapping
dc.subjectGeomorphology
dc.subjectMahalanobis distance
dc.subjectPedological cartography
dc.subjectPedology
dc.subjectPedometrics
dc.subjectSoil survey
dc.subjectTropical soils
dc.titleMultivariate split moving windows and magnetic susceptibility for locating soil boundaries of São Paulo, Brazilen
dc.typeArtigo

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