vis–NIR and XRF data fusion and feature selection to estimate potentially toxic elements in soil

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F21%3A85320" target="_blank" >RIV/60460709:41210/21:85320 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.mdpi.com/1424-8220/21/7/2386" target="_blank" >https://www.mdpi.com/1424-8220/21/7/2386</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/s21072386" target="_blank" >10.3390/s21072386</a>

Jazyk výsledku

angličtina

Název v původním jazyce

vis–NIR and XRF data fusion and feature selection to estimate potentially toxic elements in soil

Popis výsledku v původním jazyce

Soil contamination by potentially toxic elements PTEs is intensifying under increasing industrialization. Thus, the ability to efficiently delineate contaminated sites is crucial. Visible near infrared visNIR and X ray fluorescence XRF spectroscopic techniques have attracted tremendous attention for the assessment of PTEs. Recently, the application of fused vis NIR and XRF spectroscopy, which is based on the complementary effect of data fusion, is also increasing. Moreover, different data manipulation methods, including feature selection approaches, affect the prediction performance. This study investigated the feasibility of using single and fused vis NIR and XRF spectra while exploring feature selection algorithms for the assessment of key soil PTEs. The soil samples were collected from one of the most heavily polluted areas of the Czech Republic and scanned using laboratory vis NIR and XRF spectrometers. Univariate filter and genetic algorithm were used to select the bands of greater importance f

Název v anglickém jazyce

vis–NIR and XRF data fusion and feature selection to estimate potentially toxic elements in soil

Popis výsledku anglicky

Soil contamination by potentially toxic elements PTEs is intensifying under increasing industrialization. Thus, the ability to efficiently delineate contaminated sites is crucial. Visible near infrared visNIR and X ray fluorescence XRF spectroscopic techniques have attracted tremendous attention for the assessment of PTEs. Recently, the application of fused vis NIR and XRF spectroscopy, which is based on the complementary effect of data fusion, is also increasing. Moreover, different data manipulation methods, including feature selection approaches, affect the prediction performance. This study investigated the feasibility of using single and fused vis NIR and XRF spectra while exploring feature selection algorithms for the assessment of key soil PTEs. The soil samples were collected from one of the most heavily polluted areas of the Czech Republic and scanned using laboratory vis NIR and XRF spectrometers. Univariate filter and genetic algorithm were used to select the bands of greater importance f

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

40104 - Soil science

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

2021

Kód důvěrnosti údajů

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

Název periodika

SENSORS

ISSN

1424-8220

e-ISSN

1424-8220

Svazek periodika

21

Číslo periodika v rámci svazku

7

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

18

Strana od-do

0-0

Kód UT WoS článku

000638853900001

EID výsledku v databázi Scopus

2-s2.0-85103248196