Exploring the suitability of UAS-based multispectral images for estimating soil organic carbon: Comparison with proximal soil sensing and spaceborne imagery

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F21%3A85039" target="_blank" >RIV/60460709:41210/21:85039 - isvavai.cz</a>
Alternative codes found
RIV/00027073:_____/21:N0000091
Result on the web
<a href="https://www.mdpi.com/2072-4292/13/2/308" target="_blank" >https://www.mdpi.com/2072-4292/13/2/308</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/rs13020308" target="_blank" >10.3390/rs13020308</a>

Result language
angličtina
Original language name
Exploring the suitability of UAS-based multispectral images for estimating soil organic carbon: Comparison with proximal soil sensing and spaceborne imagery
Original language description
Soil organic carbon SOC is a variable of vital environmental significance in terms of soil quality and function, global food security, and climate change mitigation. Estimation of its content and prediction accuracy on a broader scale remain crucial. Although, spectroscopy under proximal sensing remains one of the best approaches to accurately predict SOC, however, spectroscopy limitation to estimate SOC on a larger spatial scale remains a concern. Therefore, for an efficient quantification of SOC content, faster and less costly techniques are needed, recent studies have suggested the use of remote sensing approaches. The primary aim of this research was to evaluate and compare the capabilities of small Unmanned Aircraft Systems UAS for monitoring and estimation of SOC with those obtained from spaceborne Sentinel 2) and proximal soil sensing field spectroscopy measurements on an agricultural field low in SOC content. Nine calculated spectral indices were added to the remote sensing approaches UAS a
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
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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