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Efficient Earth Observation System for Acid Mine Drainage

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00025798%3A_____%2F25%3A10169986" target="_blank" >RIV/00025798:_____/25:10169986 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Efficient Earth Observation System for Acid Mine Drainage

  • Original language description

    Acid Mine Drainage (AMD),a significant water pollutant from sulfide mineral oxidation in mining areas, generates sulfuric acid and harmful substances. Effective AMD management involves careful material handling, treatment, and water management. Imaging spectroscopy provides a practical alternative to traditional chemical analysis, identifying pyrite oxidation &quot;hot spots&quot; and sulfate mineral formation. This research develops robust AMD monitoring systems using machine learning techniques on optical multi- and hyperspectral data. We use hyperspectral (PIKA L camera, UAV) and multispectral (Sentinel-2, orbital) datasets at the Litov post-mine dump (Sokolov lignite basin, Czech Republic). Validated against XRD mineralogy and Google Earth-identified hotspots, Radial Basis Function Support Vector Machine (RBF SVM) outperforms other ML methods in identifying AMD hot spots and class separation. RBF SVM effectively detects AMD discharge and distinguishes mineral mixtures (oxy-hydroxides and oxides) using both Pika L and Sentinel-2 data.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10511 - Environmental sciences (social aspects to be 5.7)

Result continuities

  • Project

  • Continuities

    R - Projekt Ramcoveho programu EK

Others

  • Publication year

    2025

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    PROCEEDINGS OF THE INTERNATIONAL MINE WATER ASSOCIATION CONFERENCE, IMWA 2025

  • ISBN

    978-3-9825293-3-2

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    502-507

  • Publisher name

    INT MINE WATER ASSOC

  • Place of publication

    WENDELSTEIN

  • Event location

    Universidade do Minho Departamento de Filosofia

  • Event date

    Jun 11, 2025

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    001667479500082