TY - GEN
T1 - Deliverable No 4.1. Part 1: Field Guidebook.
AU - Paulick, Holger
AU - Laakso, Kati
AU - Molinier, Matthieu
AU - Frei, Michaela
AU - Kopačková-Strnadová, Veronika
AU - Lipiarski, Piotr
AU - Liwata-Kenttälä, Pauliina
AU - Anastasatou, Marianthi
AU - Mavrogonatos, Constantinos
AU - Liakopoulos, Alexandros
AU - Schuberth-Hlavac, Gerald
AU - Heino, Neea
AU - Schodlok, Martin
AU - Middleton, Maarit
AU - Hamedianfar, Alireza
AU - Antropov, Oleg
AU - Miradije, Rama
AU - Kýhos, Martin
AU - Jelének, Jan
AU - Reschke, Patrick
AU - Hahne, Kai
AU - Daoultzis, Panagiotis
PY - 2024/6/30
Y1 - 2024/6/30
N2 - 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.
AB - 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.
U2 - 10.5281/zenodo.13284968
DO - 10.5281/zenodo.13284968
M3 - Other contribution
PB - Zenodo
ER -