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Estimating Atterberg limits of soils from reflectance spectroscopy and pedotransfer functions

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F21%3A85572" target="_blank" >RIV/60460709:41210/21:85572 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S0016706121003803" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0016706121003803</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.geoderma.2021.115300" target="_blank" >10.1016/j.geoderma.2021.115300</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Estimating Atterberg limits of soils from reflectance spectroscopy and pedotransfer functions

  • Original language description

    Attenberg limits are broadly used for engineering and geology purposes as well as in agricultural and environmental applications. Laboratory methods used for their determination are, however, laborious, destructive and tool dependent. The aim of this study was to test the feasibility of using visible near infrared spectroscopy as a fast and accurate alternative to the conventional measurement of Atterberg limits and the PI for 229 geographically diverse soil samples originating from 24 countries. Three types of calibration techniques including Partial Least Squares (PLS) regression, Artificial Neural Networks (ANN) and Support Vector Machines (SVM) were applied to the spectral data. The performance of the best visNIRS models was validated using 45 independent samples and compared with two existing and one newly developed pedotransfer functions (PTF). The application of SVM yielded marginally better predictive ability than PLS and ANN for all modelled properties. The SVM models estimated LL, PL, and

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    40104 - Soil science

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Geoderma

  • ISSN

    0016-7061

  • e-ISSN

    1872-6259

  • Volume of the periodical

    402

  • Issue of the periodical within the volume

    nov

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    10

  • Pages from-to

    0-0

  • UT code for WoS article

    000688581600001

  • EID of the result in the Scopus database

    2-s2.0-85112433450