dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorDemattê, José Alexandre M.
dc.creatorGarcia, Gilberto J.
dc.date2014-05-27T11:19:43Z
dc.date2016-10-25T18:15:37Z
dc.date2014-05-27T11:19:43Z
dc.date2016-10-25T18:15:37Z
dc.date1999-03-01
dc.date.accessioned2017-04-06T00:53:56Z
dc.date.available2017-04-06T00:53:56Z
dc.identifierSoil Science Society of America Journal, v. 63, n. 2, p. 327-342, 1999.
dc.identifier0361-5995
dc.identifierhttp://hdl.handle.net/11449/65735
dc.identifierhttp://acervodigital.unesp.br/handle/11449/65735
dc.identifier10.2136/sssaj1999.03615995006300020010x
dc.identifier2-s2.0-0344759182
dc.identifierhttp://dx.doi.org/10.2136/sssaj1999.03615995006300020010x
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/887419
dc.descriptionIn the study of physical, chemical, and mineralogical data related to the weathering of soils and the quantification of their properties, remote sensing constitutes an important technique that, in addition to conventional analyses, can contribute to soil survey. The objectives of this research were to characterize and differentiate soils developed from basaltic rocks that occur in the Parana state, Brazil and to quantify soil properties based on their spectral reflectance. These observations were used to verify the relationship between the soils and reflectance with regard to weathering, organic matter (OM), and forms of Fe. From the least to the most weathered soil, we used a Typic Argiudoll (Reddish Brunizem), Rhodudalf (Terra Roxa Estruturada), and Rhodic Hapludox (Very Dark Red Latosol). The spectral reflectances between 400 and 2500 nm were obtained in the laboratory from soil samples collected at two depth increments, 0- to 20- and 40- to 60-cm, using an Infra Red Intelligent Spectroradiometer (IRIS). Correlation, regression, and discriminant estimates were used in analyzing the soil and spectral data. Results of this study indicated that soils could be separated at the soil-type level based on reflectance intensity in various absorption bands. Soil collected in the 40- to 60-cm depth appeared to have higher reflectance intensities than those from the 0- to 20-cm depth. Removal of OM from soil samples promoted higher reflectance intensity in the entire spectrum. Amorphous and crystalline Fe influenced reflectance differently. Weathering of basaltic soils was correlated with alterations in the reflectance intensities and absorption features of the spectral curves. Multivariate analysis demonstrated that this technique was efficient in the estimation of clay, silt, kaolinite, crystalline Fe, amorphous Fe, and Mg through the use of reflected energy of the soils.
dc.descriptionIn the study of physical, chemical, and mineralogical data related to the weathering of soils and the quantification of their properties, remote sensing constitutes an important technique that, in addition to conventional analyses, can contribute to soil survey. The objectives of this research were to characterize and differentiate soils developed from basaltic rocks that occur in the Parana state, Brazil and to quantify soil properties based on their spectral reflectance. These observations were used to verify the relationship between the soils and reflectance with regard to weathering, organic matter (OM), and forms of Fe. From the least to the most weathered soil, we used a Typic Argiudoll (Reddish Brunizem), Rhodudalf (Terra Roxa Estruturada), and Rhodic Hapludox (Very Dark Red Latosol). The spectral reflectances between 400 and 2500 nm were obtained in the laboratory from soil samples collected at two depth increments, 0- to 20- and 40- to 60-cm, using an Infra Red Intelligent Spectroradiometer (IRIS). Correlation, regression, and discriminant estimates were used in analyzing the soil and spectral data. Results of this study indicated that soils could be separated at the soil-type level based on reflectance intensity in various absorption bands. Soil collected in the 40- to 60-cm depth appeared to have higher reflectance intensities than those from the 0- to 20-cm depth. Removal of OM from soil samples promoted higher reflectance intensity in the entire spectrum. Amorphous and crystalline Fe influence reflectance differently. Weathering of basaltic soils was correlated with alterations in the reflectance intensities and absorption features of the spectral curves. Multivariate analysis demonstrated that this technique was efficient in the estimation of clay, silt, kaolinite, crystalline Fe, amorphous Fe, and Mg through the use of reflected energy of the soils.
dc.languageeng
dc.relationSoil Science Society of America Journal
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectCharacterization
dc.subjectCorrelation methods
dc.subjectEstimation
dc.subjectIron
dc.subjectLight absorption
dc.subjectOrganic compounds
dc.subjectPhysical properties
dc.subjectRegression analysis
dc.subjectRemote sensing
dc.subjectRocks
dc.subjectSpectrum analysis
dc.subjectWeathering
dc.subjectBasaltic soils
dc.subjectInfrared intelligent spectroradiometer
dc.subjectSoil properties
dc.subjectSpectral reflectance
dc.subjectSoils
dc.subjectmultivariate analysis
dc.subjectremote sensing
dc.subjectsoil property
dc.subjectspectral reflectance
dc.subjectweathering profile
dc.subjectBrazil
dc.titleAlteration of soil properties through a weathering sequence as evaluated by spectral reflectance
dc.typeOtro


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