Comparison of field and laboratory wet soil spectra in the Vis-NIR range for soil organic carbon prediction in the absence of laboratory dry measurements

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F20%3A82034" target="_blank" >RIV/60460709:41210/20:82034 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/2072-4292/12/18/3082" target="_blank" >https://www.mdpi.com/2072-4292/12/18/3082</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/rs12183082" target="_blank" >10.3390/rs12183082</a>

Result language
angličtina
Original language name
Comparison of field and laboratory wet soil spectra in the Vis-NIR range for soil organic carbon prediction in the absence of laboratory dry measurements
Original language description
Spectroscopy has demonstrated the ability to predict specific soil properties. Consequently, it is a promising avenue to complement the traditional methods that are costly and time consuming. In the visible-near infrared region, spectroscopy has been widely used for the rapid determination of organic components, especially soil organic carbon using laboratory dry measurement. However, steps such as collecting, grinding, sieving and soil drying at ambient temperature and humidity for several days, which is a vital process, make the lab dry preparation a bit slow compared to the field or laboratory wet measurement. The use of soil spectra measured directly in the field or on a wet sample remains challenging due to uncontrolled soil moisture variations and other environmental conditions. However, for direct and timely prediction and mapping of soil properties, especially SOC, the field or lab wet measurement could be an option in place of the lab-dry measurement. This study focuses on comparison of fie
Czech name
—
Czech description
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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

Project
<a href="/en/project/GA17-27726S" target="_blank" >GA17-27726S: Spatial prediction of soil properties and classes based on the position in landscape and on other environmental covariates</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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