Using VNIR-DRS and magnetic susceptibility to predict soil organic carbon content

0445304 - GFÚ 2016 RIV BG eng C - Konferenční příspěvek (zahraniční konf.)
Klement, A. - Kapička, Aleš - Jakšík, O. - Kodešová, R. - Grison, Hana
Using VNIR-DRS and magnetic susceptibility to predict soil organic carbon content.
Water resources, forest, marine and ocean ecosystems. Conference proceedings. Vol. 2. Sofia: STEF92 Technology, 2015, s. 425-430. ISBN 978-619-7105-37-7. ISSN 1314-2704.
[International multidisciplinary scientific geoconference SGEM 2015 /15./. Albena (BG), 18.06.2015-24.06.2015]
Grant CEP: GA MZe QJ1230319
Institucionální podpora: RVO:67985530
Klíčová slova: visible and near infrared diffuse reflectance spectroscopy * magnetic susceptibility * soil organic carbon
Kód oboru RIV: DF - Pedologie

In this study we attempt to apply two techniques (reflective spectroscopy in the visible and near infrared part of electromagnetic spectrum, VNIR DRS, and mass-specific magnetic susceptibility, MS) to estimate oxidable organic carbon content (Cox). Tested soil type was Haplic Chernozem. Samples were taken from the entire soil profile (depths of 0 to 13 cm), which consisted of two layers: organic matter horizon and soil substrate (loess). In total, 59 samples were collected. The soil spectra curves (of air dry soil) were measured in the laboratory using spectrometer FieldSpecR3 (400-2500 nm). Partial least squares regression (PLSR) and support vector machines (SVM) were used for modelling of the relationships between soil spectra and measured oxidable organic carbon content. The magnetic susceptibility measurements were carried out using Bartington MS2B for low and high frequency. Simple regression was carried out to relate MS and Cox values.
Trvalý link: http://hdl.handle.net/11104/0247650