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Diffuse reflectance spectroscopy and magnetic susceptibility in prediction and mapping attributes of soil in different of landscape compartments.

Grant number: 13/17552-6
Support type:Scholarships in Brazil - Doctorate
Effective date (Start): November 01, 2013
Effective date (End): October 31, 2016
Field of knowledge:Agronomical Sciences - Agronomy - Soil Science
Principal researcher:José Marques Júnior
Grantee:Angélica Santos Rabelo de Souza Bahia
Home Institution: Faculdade de Ciências Agrárias e Veterinárias (FCAV). Universidade Estadual Paulista (UNESP). Campus de Jaboticabal. Jaboticabal , SP, Brazil

Abstract

The present project aims to: a) assess the potential of using indirect techniques (diffuse reflectance spectroscopy and magnetic susceptibility) in the prediction of iron oxides hematite and goethite, physical and chemical properties of soil in different of landscape compartments, b) the mapping of specific areas of management in commercial areas of cane sugar from pedotransfer functions using iron oxides, c) use the diffuse reflectance spectroscopy in the study of quantification and spatial variability of carbon and soil CO2 emission in areas of cane sugar tillage system. Will be sampled an area of approximately 1000 hectares located in the northeast of the state of São Paulo, in the municipality of Guatapará. In area will be enclosed a transect and a sampling grid. To study the soil carbon and soil CO2 emission will used an area of 90 ha cultivated with sugar cane handled with straw. Physical, chemical and mineralogical analysis will be conducted. Indirect methods to be used are: diffuse reflectance spectroscopy and magnetic susceptibility. All attributes will be submitted to the statistical and geostatistical analyzes to assess dependence and spatial variability. The geostatistical analysis will be performed by calculating the semivariance as a function of separation distance (experimental semivariogram). The estimated values of properties in locations not sampled will be performed by means of ordinary kriging. The multivariate structure of the original set of data will be evaluated by principal component analysis. Pedotransfer functions will be calibrated and validated for prediction of soil attributes using mostly iron oxides as predictors. Maps will be constructed of soil attributes using the values predicted areas and validated for accuracy.

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Scientific publications (4)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
DA SILVA JUNIOR, JOAO FERNANDES; SIQUEIRA, DIEGO SILVA; TEIXEIRA, DANIEL DE BORTOLI; PANOSSO, ALAN RODRIGO; MARQUES JUNIOR, JOSE; PEREIRA, GENER TADEU. Multivariate split moving windows and magnetic susceptibility for locating soil boundaries of Sa similar to o Paulo, Brazil. GEODERMA REGIONAL, v. 26, . (13/17552-6)
RABELO DE SOUZA BAHIA, ANGELICA SANTOS; MARQUES JUNIOR, JOSE; LA SCALA JUNIOR, NEWTON; PELLEGRINO CERRI, CARLOS EDUARDO; CAMARGO, LIVIA ARANTES. Prediction and Mapping of Soil Attributes using Diffuse Reflectance Spectroscopy and Magnetic Susceptibility. Soil Science Society of America Journal, v. 81, n. 6, p. 1450-1462, . (13/17552-6)
DE ALMEIDA, GABRIELA MOURAO; PEREIRA, GENER TADEU; RABELO DE SOUZA BAHIA, ANGELICA SANTOS; FERNANDES, KATHLEEN; MARQUES JUNIOR, JOSE. Machine learning in the prediction of sugarcane production environments. COMPUTERS AND ELECTRONICS IN AGRICULTURE, v. 190, . (13/17552-6, 17/05477-0)
FILLA, VINICIUS AUGUSTO; COELHO, ANDERSON PRATES; FERRONI, ADRIEN DORVALINO; RABELO DE SOUZA BAHIA, ANGELICA SANTOS; MARQUES, JR., JOSE. Estimation of clay content by magnetic susceptibility in tropical soils using linear and nonlinear models. Geoderma, v. 403, . (13/17552-6, 13/13978-9)
Academic Publications
(References retrieved automatically from State of São Paulo Research Institutions)
BAHIA, Angélica Santos Rabelo de Souza. Estimation of soil attributes by diffuse reflectance spectroscopy and magnetic susceptibility in the landscape context. 2016. Doctoral Thesis - Universidade Estadual Paulista (Unesp). Faculdade de Ciências Agrárias e Veterinárias. Jaboticabal Jaboticabal.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.