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| Demattê,José A. M.; Alves,Marcelo Rodrigo; Gallo,Bruna Cristina; Fongaro,Caio T.; Souza,Arnaldo Barros e; Romero,Danilo Jefferson; Sato,Marcus Vinicius. |
| Minimizing environmental impacts and increasing crop productivity depend mainly on the knowledge of chemical, physical and mineralogical characteristics of the soil attributes. However, traditional methods are timeconsuming and costly. The objective of this study was to determine and validate a method to quantify soil attributes using UV-Vis-NIR Spectroscopy as an alternative to conventional methods of soil analyses. The work comprised two main phases: (1) creation and calibration of statistical models to determine the soil attributes derived from spectral data extracted from soil samples collected in area 1, (2) validation of statistical models in area 2 and correlations between the estimated and observed values (conventional method) for each soil... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Reflectance; Soil analysis; Remote Sensing. |
| Ano: 2015 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902015000200223 |
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| Arruda,Gustavo Pais de; Demattê,José A. M.; Chagas,César da Silva; Fiorio,Peterson Ricardo; Souza,Arnaldo Barros e; Fongaro,Caio Troula. |
| ABSTRACT Digital soil mapping is an alternative for the recognition of soil classes in areas where pedological surveys are not available. The main aim of this study was to obtain a digital soil map using artificial neural networks (ANN) and environmental variables that express soil-landscape relationships. This study was carried out in an area of 11,072 ha located in the Barra Bonita municipality, state of São Paulo, Brazil. A soil survey was obtained from a reference area of approximately 500 ha located in the center of the area studied. With the mapping units identified together with the environmental variables elevation, slope, slope plan, slope profile, convergence index, geology and geomorphic surfaces, a supervised classification by ANN was... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Map extrapolation; Pedological survey; Landscape attributes; Pedological classes; Data mining. |
| Ano: 2016 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162016000300266 |
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