Soil organic carbon content monitoring and mapping using airborne and Sentinel-2 spectral imaging
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00027049%3A_____%2F18%3AN0000068" target="_blank" >RIV/00027049:_____/18:N0000068 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/60460709:41210/18:78519
Výsledek na webu
<a href="http://spie.org/Publications/Proceedings/Paper/10.1117/12.2323820" target="_blank" >http://spie.org/Publications/Proceedings/Paper/10.1117/12.2323820</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1117/12.2323820" target="_blank" >10.1117/12.2323820</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Soil organic carbon content monitoring and mapping using airborne and Sentinel-2 spectral imaging
Popis výsledku v původním jazyce
In this study, the performances of hyperspectral airborne and superspectral spaceborne spectral imaging to derive selected Soil Organic Carbon (SOC) were analyzed and compared in agricultural sites of the Czech Republic. The main aim was to assess the potential of superspectral Sentinel-2 satellite for the prediction and mapping of the attribute. The prediction accuracy based on airborne and spaceborne techniques in majority of the sites was adequate for SOC. Comparing the spatial distribution maps of SOC derived from the airborne and spaceborne data showed a similar trend at both platforms. The SOC maps also confirmed that in areas with a high level of SOC, Sentinel-2 was able to detect SOC even more precisely than the airborne sensors. Although a decrease in the model and map performances was obvious in the case of parameters with low contents. The findings of the current research showed that superspectral Sentinel-2 allows for the estimation and mapping of SOC. The study also emphasized the importance of the superspectral Sentinel-2 data in soil characteristics assessment with a frequent revisit-time over larger areas than it currently is with laboratory and airborne instruments. Certainly, the repeatability of the Sentinel-2 products is still a work in progress and with the Sentinel-2B, a revisit-time of five-day and the temporal frequency of cloud-free acquisitions will be further increased. Accordingly, much more data will be freely available in the near future, which will have a significant influence on the obtaining of high-quality soil data.
Název v anglickém jazyce
Soil organic carbon content monitoring and mapping using airborne and Sentinel-2 spectral imaging
Popis výsledku anglicky
In this study, the performances of hyperspectral airborne and superspectral spaceborne spectral imaging to derive selected Soil Organic Carbon (SOC) were analyzed and compared in agricultural sites of the Czech Republic. The main aim was to assess the potential of superspectral Sentinel-2 satellite for the prediction and mapping of the attribute. The prediction accuracy based on airborne and spaceborne techniques in majority of the sites was adequate for SOC. Comparing the spatial distribution maps of SOC derived from the airborne and spaceborne data showed a similar trend at both platforms. The SOC maps also confirmed that in areas with a high level of SOC, Sentinel-2 was able to detect SOC even more precisely than the airborne sensors. Although a decrease in the model and map performances was obvious in the case of parameters with low contents. The findings of the current research showed that superspectral Sentinel-2 allows for the estimation and mapping of SOC. The study also emphasized the importance of the superspectral Sentinel-2 data in soil characteristics assessment with a frequent revisit-time over larger areas than it currently is with laboratory and airborne instruments. Certainly, the repeatability of the Sentinel-2 products is still a work in progress and with the Sentinel-2B, a revisit-time of five-day and the temporal frequency of cloud-free acquisitions will be further increased. Accordingly, much more data will be freely available in the near future, which will have a significant influence on the obtaining of high-quality soil data.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
40104 - Soil science
Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Proc. SPIE 10773, Sixth International Conference on Remote Sensing and Geoinformation of the Environment
ISBN
978-1-5106-2118-3
ISSN
0277-786X
e-ISSN
1996-756X
Počet stran výsledku
7
Strana od-do
1-7
Název nakladatele
SPIE, the international society for optics and photonics
Místo vydání
Paphos, Cyprus
Místo konání akce
Paphos, Cyprus
Datum konání akce
6. 8. 2018
Typ akce podle státní příslušnosti
CST - Celostátní akce
Kód UT WoS článku
000452662200044