Lithium Potential Mapping Using Artificial Neural Networks: A Case Study from Central Portugal.
Auteurs : Köhler, M.; Hanelli, D.; Schaefer, S.; Barth, A.; Knobloch, A.; Hielscher, P.; Cardoso-Fernandes, J.; Lima, A.; Teodoro, A.C.
Revue : Minerals 2021
https://doi.org/10.3390/min11101046
Interpretation of the Reflectance Spectra of Lithium (Li) Minerals and Pegmatites: A Case Study for Mineralogical and Lithological Identification in the Fregeneda-Almendra Area
Auteurs : Cardoso-Fernandes J., Silva J., Perrotta M. M., Lima A., Teodoro A. C., Ribeiro M. A., Dias F., Barrès O., Cauzid J., Roda-Robles E.
Revue : Remote Sensing
https://doi.org/10.3390/rs13183688
Mineral reflectance spectra and chemistry of 32 Li-bearing surface samples from Bajoca mine, Almendra, Portugal
Koerting, Friederike; Kaestner, Friederike; Koellner, Nicole; Hildebrand, Constantin
https://doi.org/10.5880/GFZ.1.4.2021.002
Analyses of Li‐Rich Minerals Using Handheld LIBS Tool
We are pleased to make LIBS instrumental results by C. Fabre et al. available for the community. The collaborative work including the LIGHTS partners from FCUP, GFZ and GeoRessources is accessible at https://doi.org/10.3390/data6060068, and the instrumental data at https://doi.org/10.24396/ORDAR-65
