Comparing different multivariate calibration methods for the determination of soil organic carbon pools with visible to near infrared spectroscopy

Geoderma

Volumn 166, Issue 1, 2011, Pages 198-205

  Vohland, Michael ^a   Besold, Joachim ^a   Hill, Joachim ^a   Fründ, Heinz Christian ^b  

^a UNIVERSITY OF TRIER   (Germany)

^b UNIVERSITY OF APPLIED SCIENCES OSNABRÜCK   (Germany)

Author keywords

Genetic algorithm; Partial least squares regression; Soil organic carbon; Spectral noise; Support vector machine regression; VIS NIR spectroscopy

Indexed keywords

PARTIAL LEAST SQUARES REGRESSION; SOIL ORGANIC CARBON; SPECTRAL NOISE; SUPPORT VECTOR MACHINE REGRESSION; VIS-NIR SPECTROSCOPY;

CALIBRATION; CARBON; FEATURE EXTRACTION; FORECASTING; GENETIC ALGORITHMS; INFRARED DEVICES; LAKES; LEAST SQUARES APPROXIMATIONS; MULTIVARIABLE SYSTEMS; NEAR INFRARED SPECTROSCOPY; REGRESSION ANALYSIS; SOILS; SUPPORT VECTOR MACHINES; WHITE NOISE;

ORGANIC CARBON;

CALIBRATION; COMPARATIVE STUDY; ERROR ANALYSIS; FLOODPLAIN; GENETIC ALGORITHM; INFRARED SPECTROSCOPY; LEAST SQUARES METHOD; MULTIVARIATE ANALYSIS; NEAR INFRARED; REGRESSION ANALYSIS; SAMPLING; SIGNAL-TO-NOISE RATIO; SOIL CARBON; SOIL ORGANIC MATTER; SPECTRAL ANALYSIS;

GERMANY; LOWER SAXONY; OSNABRUCK;

EID: 80053054108     PISSN: 00167061     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.geoderma.2011.08.001     Document Type: Article

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