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    Developing the Australian mid-infrared spectroscopic database using data from the Australian Soil Resource Information System

    Access Status
    Fulltext not available
    Authors
    Hicks, W.
    Viscarra Rossel, Raphael
    Tuomi, S.
    Date
    2015
    Type
    Journal Article
    
    Metadata
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    Citation
    Hicks, W. and Viscarra Rossel, R. and Tuomi, S. 2015. Developing the Australian mid-infrared spectroscopic database using data from the Australian Soil Resource Information System. Soil Research. 53 (8): pp. 922-931.
    Source Title
    Soil Research
    DOI
    10.1071/SR15171
    ISSN
    1838-675X
    School
    School of Molecular and Life Sciences (MLS)
    URI
    http://hdl.handle.net/20.500.11937/74438
    Collection
    • Curtin Research Publications
    Abstract

    We developed and tested spectroscopic models derived by partial least squares regression (PLSR) using data from the Commonwealth Scientific and Industrial Research Organisation's (CSIRO) national soil database (NatSoil) and soil samples from the Australian National Soil Archive. Models were constructed for 21 soil attributes, and their predictability assessed using the R2, ranged from 0.57 for bicarbonate extractable available phosphorus to 0.92 for the sum of the exchangeable bases. Investigating the spectral library coverage with a suite of 1484 unknown samples from a geochemical survey of Australian catchments, we found that the models could be used to predict many soil attributes in a geographically diverse set of samples.

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