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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985530%3A_____%2F15%3A00445304" target="_blank" >RIV/67985530:_____/15:00445304 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/60460709:41210/15:67712

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

DF - Pedologie

OECD FORD obor

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Projekt

<a href="/cs/project/QJ1230319" target="_blank" >QJ1230319: Vodní režim půd na svažitém zemědělsky využívaném území</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

Water resources, forest, marine and ocean ecosystems. Conference proceedings. Vol. 2

ISBN

978-619-7105-37-7

ISSN

1314-2704

e-ISSN

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Počet stran výsledku

6

Strana od-do

425-430

Název nakladatele

STEF92 Technology

Místo vydání

Sofia

Místo konání akce

Albena

Datum konání akce

18. 6. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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