Prediction of soil organic carbon content by diffuse reflectance spectroscopy using a local partial least square regression approach

Soil Biology and Biochemistry

Volumn 68, Issue , 2014, Pages 337-347

  Nocita, Marco ^a,b   Stevens, Antoine ^b   Toth, Gergely ^a   Panagos, Panos ^a   van Wesemael, Bas ^b   Montanarella, Luca ^a  

^a JOINT RESEARCH CENTRE   (Italy)

^b UNIVERSITÉ CATHOLIQUE DE LOUVAIN   (Belgium)

Author keywords

Europe; Local approach; Sand content; Soil organic carbon; Spectral library; Vis NIR spectroscopy

Indexed keywords

EUROPE; LOCAL APPROACHES; SAND CONTENT; SOIL ORGANIC CARBON; SPECTRAL LIBRARIES; VIS-NIR SPECTROSCOPY;

CALCIUM CARBONATE; FORECASTING; INFRARED DEVICES; LIBRARIES; MINERALS; NEAR INFRARED SPECTROSCOPY; REGRESSION ANALYSIS; TEXTURES; TOOLS;

SOILS;

ACCURACY ASSESSMENT; CHEMICAL COMPOSITION; COST-BENEFIT ANALYSIS; COVARIANCE ANALYSIS; DATA SET; DATABASE; ESTIMATION METHOD; LEAST SQUARES METHOD; LIGHT EFFECT; MULTIVARIATE ANALYSIS; NUMERICAL MODEL; REFLECTANCE; REGRESSION ANALYSIS; SOIL ORGANIC MATTER;

EUROPE;

EID: 84887164680     PISSN: 00380717     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.soilbio.2013.10.022     Document Type: Article

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