
The Multi-source and Multi-scale Earth observation and Novel Machine Learning Methods for Mineral Exploration and Mine Site Monitoring (MultiMiner) project develops novel data processing algorithms for cost-effective utilization of Earth Observation (EO) technologies for mineral exploration and mine site monitoring. The project focuses on new EO-based exploration technologies for critical raw materials (CRM) to increase the probability of finding new sources within EU thereby strengthening the EUautonomy in the area of raw materials. In this document, the field work and laboratory work protocols of the MultiMiner project are described. This relates to the actual materials and parameters measured and includes protocols for geological mapping, geochemical analysis, vegetation mapping, water analyses, spectral analyses, ground moisture measurements, dust monitoring, as well as dam stability and open pit stability monitoring. In terms of laboratory measurements spectral data acquisition protocols, X-Ray Fluorescence (XRF), X-RayDiffraction (XRD), inductively coupled plasma mass spectrometry (ICP-MS), petrographic description of rock samples in thin section, scanning electron microscope-energy dispersive X-ray spectroscopy (SEMEDS) and electron probe microanalysis (EMPA) are described. Furthermore, Appendix 1, describes the structure of the metadata database of the project. The regional geology of the Hochfilzen test site and the Kallyntiri test site are presented in Appendices 2 and 3, respectively. In Appendices 4 and 5, the hyperspectral field and laboratory protocols are documented.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
