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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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