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

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>

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

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

20705 - Remote sensing

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)

Publication year

2018

Confidentiality

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

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

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