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
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DOI - Digital Object Identifier
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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 "hot spots" 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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10511 - Environmental sciences (social aspects to be 5.7)
Result continuities
Project
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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
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e-ISSN
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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