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

Kód výsledku v 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>

Výsledek na webu

<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>

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 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.

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 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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20705 - Remote sensing

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)

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

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

ISBN

978-1-5106-2117-6

ISSN

0277-786X

e-ISSN

neuvedeno

Počet stran výsledku

7

Strana od-do

"1077319-1"-"1077319-7"

Název nakladatele

SPIE

Místo vydání

neuveden

Místo konání akce

Paphos; Cyprus

Datum konání akce

26. 3. 2018

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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