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	Provedor de dados Rev. Ciênc. Agron. (1) Scientia Agricola (1) Rev. Bras. Ciênc. Solo (1) Autor Bellinaso,Henrique (3) Demattê,José Alexandre Melo (2) Araújo,Suzana Romeiro (1) Demattê,José A. M. (1) Fongaro,Caio Troula (1) Rizzo,Rodnei (1) Romeiro,Suzana Araújo (1) Romero,Danilo Jefferson (1) Souza,Arnaldo Barros (1) Mais... Palavra-chave Remote sensing (2) Databank (1) Principal component analysis (1) Soil analysis (1) Soil classification (1) Soil mapping (1) Spectral description (1) Spectral library (1) Spectroradiometry (1) Spectroscopy (1) Spectrum classification (1) Visible and near infrared (1) Mais... Tipo do documento Info:eu-repo/semantics/article (3) Ano 2016 (1) 2014 (1) 2010 (1) País Brazil (3) Idioma Inglês (3)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 3 Primeira ... 1 ... Última Soil spectral library and its use in soil classification Rev. Bras. Ciênc. Solo Bellinaso,Henrique; Demattê,José Alexandre Melo; Romeiro,Suzana Araújo. Soil science has sought to develop better techniques for the classification of soils, one of which is the use of remote sensing applications. The use of ground sensors to obtain soil spectral data has enabled the characterization of these data and the advancement of techniques for the quantification of soil attributes. In order to do this, the creation of a soil spectral library is necessary. A spectral library should be representative of the variability of the soils in a region. The objective of this study was to create a spectral library of distinct soils from several agricultural regions of Brazil. Spectral data were collected (using a Fieldspec sensor, 350-2,500 nm) for the horizons of 223 soil profiles from the regions of Matão, Paraguaçu Paulista,... Tipo: Info:eu-repo/semantics/article Palavras-chave: Remote sensing; Principal component analysis; Soil classification. Ano: 2010 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832010000300027 Spectral regionalization of tropical soils in the estimation of soil attributes Rev. Ciênc. Agron. Demattê,José A. M.; Bellinaso,Henrique; Araújo,Suzana Romeiro; Rizzo,Rodnei; Souza,Arnaldo Barros. ABSTRACT Conventional soil analysis produces large amount of residues and demand resources and time consuming. The construction of soil spectral database for estimating soil attributes is the newest alternative on soil mapping. The objective in this study was to build spectral libraries and study the quality of the generated prediction models for soil attributes. It was obtained 7185 soil spectral (400-2500 nm) in laboratory with respective soil analysis. The spectral libraries "general", "regional", and "local" were generated from these spectral readings. The general spectral library contained the full range of data and several states, the regional libraries contained data from geographically close municipalities, and the local libraries contained soil... Tipo: Info:eu-repo/semantics/article Palavras-chave: Spectroradiometry; Soil analysis; Spectral library; Soil mapping; Databank. Ano: 2016 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902016000400589 Morphological Interpretation of Reflectance Spectrum (MIRS) using libraries looking towards soil classification Scientia Agricola Demattê,José Alexandre Melo; Bellinaso,Henrique; Romero,Danilo Jefferson; Fongaro,Caio Troula. The search for tools to perform soil surveying faster and cheaper has led to the development of technological innovations such as remote sensing (RS) and the so-called spectral libraries in recent years. However, there are no studies which collate all the RS background to demonstrate how to use this technology for soil classification. The present study aims to describe a simple method of how to classify soils by the morphology of spectra associated with a quantitative view (400-2,500 nm). For this, we constructed three spectral libraries: (i) one for quantitative model performance; (ii) a second to function as the spectral patterns; and (iii) a third to serve as a validation stage. All samples had their chemical and granulometric attributes determined by... Tipo: Info:eu-repo/semantics/article Palavras-chave: Remote sensing; Visible and near infrared; Spectroscopy; Spectral description; Spectrum classification. Ano: 2014 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162014000600010 Registros recuperados: 3 Primeira ... 1 ... Última

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