Soil toxic elements determination using integration of Sentinel-2 and Landsat-8 images: Effect of fusion techniques on model performance
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F22%3A91316" target="_blank" >RIV/60460709:41210/22:91316 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0269749122010429" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0269749122010429</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.envpol.2022.119828" target="_blank" >10.1016/j.envpol.2022.119828</a>
Alternative languages
Result language
angličtina
Original language name
Soil toxic elements determination using integration of Sentinel-2 and Landsat-8 images: Effect of fusion techniques on model performance
Original language description
Finding an appropriate satellite image as simultaneous as possible with the sampling time campaigns is challenging. Fusion can be considered as a method of integrating images and obtaining more pixels with higher spatial, spectral and temporal resolutions. This paper investigated the impact of Landsat 8 OLI and Sentinel 2A data fusion on prediction of several toxic elements at a mine waste dump. In case of the individual sensors, except for As, Sentinel 2A provided more robust prediction models than Landsat 8 OLI. However, the best performances were obtained using the fused images, highlighting the potential of data fusion to enhance the toxic elements prediction models.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
40104 - Soil science
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Environmental Pollution
ISSN
0269-7491
e-ISSN
1873-6424
Volume of the periodical
310
Issue of the periodical within the volume
Oct
Country of publishing house
GB - UNITED KINGDOM
Number of pages
10
Pages from-to
0-0
UT code for WoS article
000892459200008
EID of the result in the Scopus database
2-s2.0-85135829086