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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