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Soil organic carbon content monitoring and mapping using airborne and Sentinel-2 spectral imaging.

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12520%2F18%3A43897289" target="_blank" >RIV/60076658:12520/18:43897289 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1117/12.2323820" target="_blank" >http://dx.doi.org/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>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Soil organic carbon content monitoring and mapping using airborne and Sentinel-2 spectral imaging.

  • Original language description

    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 uperspectral 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 atboth 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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20705 - Remote sensing

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Sixth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2018)

  • ISBN

    978-1-5106-2117-6

  • ISSN

    0277-786X

  • e-ISSN

    neuvedeno

  • Number of pages

    7

  • Pages from-to

    "1077319-1"-"1077319-7"

  • Publisher name

    SPIE

  • Place of publication

    neuveden

  • Event location

    Paphos; Cyprus

  • Event date

    Mar 26, 2018

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article