Soil organic carbon and texture retrieving and mapping using proximal, ariborne and Sentinel-2 spectral imaging

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F18%3A77387" target="_blank" >RIV/60460709:41210/18:77387 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.rse.2018.09.015" target="_blank" >http://dx.doi.org/10.1016/j.rse.2018.09.015</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.rse.2018.09.015" target="_blank" >10.1016/j.rse.2018.09.015</a>

Result language
angličtina
Original language name
Soil organic carbon and texture retrieving and mapping using proximal, ariborne and Sentinel-2 spectral imaging
Original language description
Soil Organic Carbon is a useful representative of soil fertility and an essential parameter in controlling thedynamics of various agrochemicals in soil. Soil texture is also used to calculate soils ability to retain water for plant growth. SOC andsoil texture are thus important parameters of agricultral soils and need to be regularly the recently operated Sentinel 2 missions provide free imagery. This study compared the capabilities on Sentinel 2 for monitoring and mapping of SOC and soil texture with those obtained from airborne hyperspectral and lab ASD FieldSpec spectroradiometer measurements at four agricultural sites in the Czech Republic. Combination of 10 extracted bands of the Sentinel-2 and 18 spectral indices, as independent variables, were used to train prediction models and then produce spatial distribution maps of the selected attributes. Results showed that the prediction accuracy based on lab spectroscopy, airborne and Sentinel-2 in the majority of the sites was adequate for SOC and fa
Czech name
—
Czech description
—

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)

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)