O and A soil horizons' boundaries detection using GPR under variable soil moisture conditions
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F22%3A00559011" target="_blank" >RIV/86652079:_____/22:00559011 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0016706122002415?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0016706122002415?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.geoderma.2022.115934" target="_blank" >10.1016/j.geoderma.2022.115934</a>
Alternative languages
Result language
angličtina
Original language name
O and A soil horizons' boundaries detection using GPR under variable soil moisture conditions
Original language description
The thicknesses of organic (O) and organomineral (A) horizons are essential parameters for estimating the soil organic carbon stock. They are usually measured at sampling points distributed randomly or regularly over a site, but due to high spatial variability of the soil horizons' thicknesses, the sampling should be dense enough to estimate the carbon stock precisely. Dense soil sampling is cost, time, and labour demanding. Therefore, some studies suggest that geophysical methods such as ground-penetrating radar (GPR) can assist with a more precise estimation of the organic and organomineral horizons thicknesses without digging soil pits. This study evaluates the accuracy of the organic and the organomineral horizons thicknesses repeatedly measured under different soil moisture conditions on two contrasting soil types: Dystric Cambisol and Arenic Podzosol, using GPR with 800 MHz antenna. The results proved this method to be promising, however, we could not distinguish the boundary between organic and organomineral horizons but only the O + A horizon/subsoil boundary. The thickness of O + A horizons was estimated with an error between 25 and 35% in the Dystric Cambisol site and 18 24% in the Arenic Podzol site. The results were more accurate under moister conditions for both soil types, but under drier conditions, deeper parts of irregular horizon boundaries were better distinguishable.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
40101 - Agriculture
Result continuities
Project
<a href="/en/project/LM2018123" target="_blank" >LM2018123: CzeCOS</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
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
422
Issue of the periodical within the volume
SEP
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
13
Pages from-to
115934
UT code for WoS article
000812224500004
EID of the result in the Scopus database
2-s2.0-85133901046