Optimising the management of mining waste by means of Sentinel-2 imagery: A case study in the Joda West Iron and Manganese Mine (India)
| Autor: | Rosamaria Salvatori, Girolamo Belardi, Daniele Passeri, Daniela Guglietta, Stefano Ubaldini, Barbara Casentini, Francesca Trapasso |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Environmental Engineering
Renewable Energy Sustainability and the Environment mine management chemistry.chemical_element critical raw materials Geology Manganese Geotechnical Engineering and Engineering Geology Pollution mining waste remote sensing iron chemistry Remote sensing (archaeology) manganese Environmental science Water resource management |
| Zdroj: | Journal of Sustainable Mining (English ed., Online) 19 (2020): 22–32. doi:10.46873/2300-3960.1003 info:cnr-pdr/source/autori:Guglietta D.; Belardi G.; Passeri D.; Salvatori R.; Ubaldini S.; Casentini B.; Trapasso F./titolo:Optimising the management of mining waste by means of Sentinel-2 imagery: A case study in the Joda West Iron and Manganese Mine (India)/doi:10.46873%2F2300-3960.1003/rivista:Journal of Sustainable Mining (English ed., Online)/anno:2020/pagina_da:22/pagina_a:32/intervallo_pagine:22–32/volume:19 |
| DOI: | 10.46873/2300-3960.1003 |
| Popis: | A smart economy minimizes the production of waste from mining activities and reuses waste as a potential resource, with the goal of moving towards a near-zero waste society. This paper presents integrated multidisciplinary methodology in order to optimise the management of mining waste. The test site is the FeeMn mine in Odisha (India). The mining waste present in the mine has been collected and afterwards X-Ray Powder Diffraction, X-Ray Fluorescence and spectral signatures analysis have been performed for mineralogical, chemical and spectral characterization of the materials. Finally, the classification and mapping of the characterized mining waste was carried out by Sentinel-2A image. |
| Databáze: | OpenAIRE |
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