Loading...
Research Project
New Exploration Tools for European Pegmatite Green-Tech Resources
Funder
Authors
Publications
The INOVMineral project’s contribution to mineral exploration - a WebGIS integration and visualization of spectral and geophysical properties of the aldeia lct pegmatite spodumene deposit
Publication . Cardoso-Fernandes, Joana; Santos, Douglas; Almeida, Cátia Rodrigues de; Vasques, Julia Tucker; Mendes, Ariane; Ribeiro, Ricardo; Azzalini, Antonio; Duarte, Lia; Moura, Rui; Lima, Alexandre; Teodoro, Ana Cláudia
Due to the current energetic transition, new geological exploration technologies are needed
to discover mineral deposits containing critical materials such as lithium (Li). The vast majority of
European Li deposits are related to Li–Cs–Ta (LCT) pegmatites. A review of the literature indicates
that conventional exploration campaigns are dominated by geochemical surveys and related exploration
tools. However, other exploration techniques must be evaluated, namely, remote sensing (RS)
and geophysics. This work presents the results of the INOVMINERAL4.0 project obtained through
alternative approaches to traditional geochemistry that were gathered and integrated into a webGIS
application. The specific objectives were to: (i) assess the potential of high-resolution elevation data;
(ii) evaluate geophysical methods, particularly radiometry; (iii) establish a methodology for spectral
data acquisition and build a spectral library; (iv) compare obtained spectra with Landsat 9 data for
pegmatite identification; and (v) implement a user-friendly webGIS platform for data integration and
visualization. Radiometric data acquisition using geophysical techniques effectively discriminated
pegmatites from host rocks. The developed spectral library provides valuable insights for spacebased
exploration. Landsat 9 data accurately identified known LCT pegmatite targets compared with
Landsat 8. The user-friendly webGIS platform facilitates data integration, visualization, and sharing,
supporting potential users in similar exploration approaches.
Spectral library of European pegmatites, pegmatite minerals and pegmatite host-rocks – the GREENPEG project database
Publication . Cardoso-Fernandes, Joana; Santos, Douglas; Almeida, Cátia Rodrigues de; Lima, Alexandre; Teodoro, Ana Cláudia
The New Exploration Tools for European Pegmatite Green-Tech Resources (GREENPEG) spectral
database contains the spectral signature, obtained through reflectance spectroscopy studies, of European
pegmatites and minerals as well as their host rocks. Samples include pegmatites of the Nb–Y–F (NYF) and
Li–Cs–Ta (LCT) chemical types and host rocks from pegmatite locations in Austria, Ireland, Norway, Portugal,
and Spain. The database contains the reflectance spectra (raw and continuum-removed spectra), sample photographs,
and main absorption features automatically extracted by a self-proposed Python routine. Whenever
possible, spectral mineralogy was interpreted based on the continuum-removed spectra. A detailed description
of the database, its content and structure, the measuring instrument, and interoperability with geographic information
system (GIS) tools is available in this database report. Moreover, examples of how the data can be
used and interpreted are also provided. The advantages and added value of the presented dataset reside in its
European scale, with representative samples from pegmatites with distinct genesis, mineralogy, structure, and
host rocks that can be used as a reference for pegmatite exploration at a global scale via, for example, satellite
image processing. The reported spectral mineral assemblages can also be of interest when considering resource
estimation or ore processing. Thus, it is expected that this open dataset, available on the Zenodo platform
https://doi.org/10.5281/zenodo.6518318 (Cardoso-Fernandes et al., 2022b), will be a reference for distinct types
of users, ranging from academia to industry.
Organizational Units
Description
Keywords
Contributors
Funders
Funding agency
European Commission
Funding programme
H2020
Funding Award Number
869274