Satellite imagery for monitoring and mapping soil chromium pollution in a mine waste dump
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F21%3A85319" target="_blank" >RIV/60460709:41210/21:85319 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/2072-4292/13/7/1277" target="_blank" >https://www.mdpi.com/2072-4292/13/7/1277</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/rs13071277" target="_blank" >10.3390/rs13071277</a>
Alternative languages
Result language
angličtina
Original language name
Satellite imagery for monitoring and mapping soil chromium pollution in a mine waste dump
Original language description
Weathering and oxidation of sulphide minerals in mine wastes release toxic elements in surrounding environments. As an alternative to traditional sampling and chemical analysis methods, the capability of proximal and remote sensing techniques was investigated in this study to predict Chromium (Cr) concentration in 120 soil samples collected from a dumpsite in Sarcheshmeh copper mine, Iran. The samples mineralogy and Cr concentration were determined and were then subjected to laboratory reflectance spectroscopy in the range of Visible Near Infrared Shortwave Infrared (VNIR SWIR: 350 to 2500 nm). The raw spectra were preprocessed using Savitzky Golay First Derivative (SG FD) and Savitzky Golay Second-Derivative (SG SD) algorithms. The important wavelengths were determined using Partial Least Squares Regression (PLSR) coefficients and Genetic Algorithm (GA). Artificial Neural Networks (ANN), Stepwise Multiple Linear Regression (SMLR) and PLSR data mining methods were applied to the selected spectral var
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
<a href="/en/project/GJ18-28126Y" target="_blank" >GJ18-28126Y: Soil contamination assessment using hyperspectral orbital data</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Remote Sensing
ISSN
2072-4292
e-ISSN
2072-4292
Volume of the periodical
13
Issue of the periodical within the volume
7
Country of publishing house
CH - SWITZERLAND
Number of pages
20
Pages from-to
0-20
UT code for WoS article
000638790600001
EID of the result in the Scopus database
2-s2.0-85103828575