Predicting Scottish topsoil organic matter content from colour and environmental factors.

M.J. Aitkenhead; D. Donnelly; L.A. Sutherland; D.G. Miller; M.C. Coull; H.I.J. Black

doi:10.1111/ejss.12199

Predicting Scottish topsoil organic matter content from colour and environmental factors.

M.J. Aitkenhead
, D. Donnelly
, L.A. Sutherland
, D.G. Miller
, M.C. Coull
, H.I.J. Black

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	112-120
Journal	European Journal of Soil Science
Volume	66
Issue number	1
DOIs	https://doi.org/10.1111/ejss.12199
Publication status	Published - 1 Feb 2015

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 13 Climate Action

Keywords

Agricultural soils
Board Jan 2015
Carbon content
Climate change
Ecosystem services
Neural networks
Soil monitoring networks

Access to Document

10.1111/ejss.12199Licence: Unspecified licence

Cite this

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title = "Predicting Scottish topsoil organic matter content from colour and environmental factors.",

keywords = "Agricultural soils, Board Jan 2015, Carbon content, Climate change, Ecosystem services, Neural networks, Soil monitoring networks",

author = "M.J. Aitkenhead and D. Donnelly and L.A. Sutherland and D.G. Miller and M.C. Coull and H.I.J. Black",

year = "2015",

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doi = "10.1111/ejss.12199",

language = "English",

volume = "66",

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AU - Aitkenhead, M.J.

AU - Donnelly, D.

AU - Sutherland, L.A.

AU - Miller, D.G.

AU - Coull, M.C.

AU - Black, H.I.J.

PY - 2015/2/1

Y1 - 2015/2/1

KW - Agricultural soils

KW - Board Jan 2015

KW - Carbon content

KW - Climate change

KW - Ecosystem services

KW - Neural networks

KW - Soil monitoring networks

U2 - 10.1111/ejss.12199

DO - 10.1111/ejss.12199

M3 - Article

VL - 66

SP - 112

EP - 120

JO - European Journal of Soil Science

JF - European Journal of Soil Science

IS - 1

ER -