Complete Soil Texture is Accurately Predicted by Visible Near-Infrared Spectroscopy

Cecilie Hermansen; Maria Knadel; Per Møldrup; Mogens H. Greve; Dan Karup Jensen; Lis W. de Jonge

doi:10.2136/sssaj2017.02.0066

Complete Soil Texture is Accurately Predicted by Visible Near-Infrared Spectroscopy

Cecilie Hermansen, Maria Knadel, Per Møldrup, Mogens H. Greve, Dan Karup Jensen, Lis W. de Jonge

Research output: Contribution to journal › Journal article › Research › peer-review

33 Citations (Scopus)

Abstract

Core Ideas:
Two PSC models are fitted to detailed measurements of clay, silt, and sand fractions.Both models well describe the PSCs of a broad soil data base.Within and between field variations in PSC and OM are well predicted by vis-NIRS.The Fredlund model performs slightly better in data-fitting and vis-NIRS predicted PSCs.New vis-NIRS concept enables soil type classification in any texture system worldwide.

Original language	English
Journal	Soil Science Society of America Journal
Volume	81
Issue number	4
Pages (from-to)	758-769
ISSN	0361-5995
DOIs	https://doi.org/10.2136/sssaj2017.02.0066
Publication status	Published - 2017

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title = "Complete Soil Texture is Accurately Predicted by Visible Near-Infrared Spectroscopy",

abstract = "Core Ideas: Two PSC models are fitted to detailed measurements of clay, silt, and sand fractions.Both models well describe the PSCs of a broad soil data base.Within and between field variations in PSC and OM are well predicted by vis-NIRS.The Fredlund model performs slightly better in data-fitting and vis-NIRS predicted PSCs.New vis-NIRS concept enables soil type classification in any texture system worldwide.",

author = "Cecilie Hermansen and Maria Knadel and Per M{\o}ldrup and Greve, {Mogens H.} and {Karup Jensen}, Dan and {de Jonge}, {Lis W.}",

year = "2017",

doi = "10.2136/sssaj2017.02.0066",

language = "English",

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pages = "758--769",

journal = "Soil Science Society of America Journal",

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T1 - Complete Soil Texture is Accurately Predicted by Visible Near-Infrared Spectroscopy

AU - Hermansen, Cecilie

AU - Knadel, Maria

AU - Møldrup, Per

AU - Greve, Mogens H.

AU - Karup Jensen, Dan

AU - de Jonge, Lis W.

PY - 2017

Y1 - 2017

N2 - Core Ideas: Two PSC models are fitted to detailed measurements of clay, silt, and sand fractions.Both models well describe the PSCs of a broad soil data base.Within and between field variations in PSC and OM are well predicted by vis-NIRS.The Fredlund model performs slightly better in data-fitting and vis-NIRS predicted PSCs.New vis-NIRS concept enables soil type classification in any texture system worldwide.

AB - Core Ideas: Two PSC models are fitted to detailed measurements of clay, silt, and sand fractions.Both models well describe the PSCs of a broad soil data base.Within and between field variations in PSC and OM are well predicted by vis-NIRS.The Fredlund model performs slightly better in data-fitting and vis-NIRS predicted PSCs.New vis-NIRS concept enables soil type classification in any texture system worldwide.

U2 - 10.2136/sssaj2017.02.0066

DO - 10.2136/sssaj2017.02.0066

M3 - Journal article

SN - 0361-5995

VL - 81

SP - 758

EP - 769

JO - Soil Science Society of America Journal

JF - Soil Science Society of America Journal

IS - 4

ER -

Complete Soil Texture is Accurately Predicted by Visible Near-Infrared Spectroscopy

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