Sampling optimal calibration sets in soil infrared spectroscopy

Geoderma

Volumn 226-227, Issue 1, 2014, Pages 140-150

  Ramirez Lopez, Leonardo ^a,b,c   Schmidt, Karsten ^c   Behrens, Thorsten ^c   van Wesemael, Bas ^d   Demattê, Jose A M ^e   Scholten, Thomas ^c  

^a SWISS FEDERAL RESEARCH INSTITUTE WSL   (Switzerland)

^b ETH ZURICH   (Switzerland)

^c UNIVERSITY OF TÜBINGEN   (Germany)

^d UNIVERSITÉ CATHOLIQUE DE LOUVAIN   (Belgium)

^e UNIVERSITY OF SÃO PAULO   (Brazil)

Author keywords

Fuzzy c means; Kennard Stone sampling; Latin hypercube sampling; Sample size; Soil sensing

Indexed keywords

CALCIUM; FUZZY SYSTEMS; IMPORTANCE SAMPLING; INFRARED DEVICES; INFRARED SPECTROSCOPY; LEARNING ALGORITHMS; MEAN SQUARE ERROR; SOILS; ALGORITHMS;

DIGITAL SOIL MAPPINGS; FUZZY C MEAN; LATIN HYPERCUBE SAMPLING; OPTIMAL CALIBRATION; ROOT MEAN SQUARE ERRORS; SAMPLE SIZES; SOIL SENSING; SUPPORT VECTOR REGRESSION MACHINES;

CALIBRATION;

ACCURACY ASSESSMENT; ALGORITHM; CALIBRATION; CLAY; DATA SET; DIGITAL MAPPING; ERROR ANALYSIS; FUZZY MATHEMATICS; INFRARED SPECTROSCOPY; NUMERICAL MODEL; SAMPLING; CLAY SOIL; SENSITIVITY ANALYSIS; SOIL TEST; VECTOR AUTOREGRESSION;

EID: 84899091041     PISSN: 00167061     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.geoderma.2014.02.002     Document Type: Article

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