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European Journal of Remote Sensing Volume 55, 2022 - Issue 1
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Research Articles

A novel method for predicting the geochemical composition of tailings with laboratory field and hyperspectral airborne data using a regression and classification-based approach

Yaron Ogena Institute of Geosciences and Geography, Martin-Luther-University Halle-Wittenberg, Halle (Saale), GermanyCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-1974-7708View further author information
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Michael Denka Institute of Geosciences and Geography, Martin-Luther-University Halle-Wittenberg, Halle (Saale), GermanyORCID Iconhttps://orcid.org/0000-0003-1806-1242View further author information
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Cornelia Glaessera Institute of Geosciences and Geography, Martin-Luther-University Halle-Wittenberg, Halle (Saale), GermanyORCID Iconhttps://orcid.org/0000-0002-1176-6613View further author information
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Holger Eichstaedtb Dimap-Spectral GmbH, Freiberg, GermanyView further author information
Pages 453-470 | Received 20 Oct 2021, Accepted 17 Jul 2022, Published online: 01 Aug 2022

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