Detecting Lithium (Li) Mineralizations from Space: Current Research and Future Perspectives

Cardoso-Fernandes, Joana; Teodoro, Ana C.; Lima, Alexandre; Perrotta, Mônica; Roda-Robles, Encarnación

doi:10.3390/app10051785

Cited by 71Geochemistry and Geologic MappingRemote-Sensing Image ClassificationRemote Sensing and Land Use

Detecting Lithium (Li) Mineralizations from Space: Current Research and Future Perspectives

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Cardoso-Fernandes, Joana, Teodoro, Ana C., Lima, Alexandre, Perrotta, Mônica, Roda-Robles, Encarnación·2020·Applied Sciences

DOI 10.3390/app10051785

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Abstract

Optical and thermal remote sensing data have been an important tool in geological exploration for certain deposit types. However, the present economic and technological advances demand the adaptation of the remote sensing data and image processing techniques to the exploration of other raw materials like lithium (Li). A bibliometric analysis, using a systematic review approach, was made to understand the recent interest in the application of remote sensing methods in Li exploration. A review of the application studies and developments in this field was also made. Throughout the paper, the addressed topics include: (i) achievements made in Li exploration using remote sensing methods; (ii) the main weaknesses of the approaches; (iii) how to overcome these difficulties; and (iv) the expected research perspectives. We expect that the number of studies concerning this topic will increase in the near future and that remote sensing will become an integrated and fundamental tool in Li exploration.

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Accurate discrimination of Li-bearing pegmatites has several limitations, linked to the degree of weathering of the host rock, the vegetation covering, and the potential need for thermal bands.
“There are several limitations for an accurate discrimination, linked to the degree of weathering of the host rock, the vegetation covering, and the potential need for thermal bands [17].”
From Framework for remote sensing and modelling of lithium-brine deposit formation (2022) · cites this paper as [17]

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Authors: Cardoso-Fernandes, J., Teodoro, A. C., Lima, A., Perrotta, M., & Roda-Robles, E.
Affiliations: Universidade do Porto (PT)
Department of Geosciences, Environment and Land Planning, Faculty of Sciences, University of Porto, Rua Campo Alegre, 4169-007 Porto, Portugal
Serviço Geológico do Brasil - CPRM (BR)
University of the Basque Country (ES)
Corresponding author: Cardoso-Fernandes, Joana
ORCID: Cardoso-Fernandes, Joana
Teodoro, Ana C.
Lima, Alexandre
Perrotta, Mônica
Roda-Robles, Encarnación
Venue: Applied Sciences
Publisher: MDPI AG
Published: 2020-03-05
Volume: 10
Issue: 5
Pages: 1785
ISSN: 2076-3417 (ISSN-L)
DOI: 10.3390/app10051785
OpenAlex: W3009973698
Cited by: 71
References: 111
Citations by year: 2026: 4 · 2025: 12 · 2024: 19 · 2023: 12 · 2022: 12 · 2021: 7 · 2020: 5
FWCI: 3.54
Type: journal article
Language: en
Open access: gold
doi.org
Licence: cc-by
creativecommons.org/licenses/by/4.0/ (vor)
Locations: Applied Sciences (publishedVersion, cc-by)
LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, cc-by)
Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion, other-oa)
Communities in ADDI (Universidad del Pais Vasco) (submittedVersion, other-oa)
DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Hispana (submittedVersion, cc-by)
Funders: Fundação para a Ciência e a Tecnologia (ERA-MIN/0001/2017 – LIGHTS, POCI-01- 0145-FEDER-007690, SFRH/BD/136108/2018)
European Regional Development Fund (POCI-01- 0145-FEDER-007690)
European Social Fund (SFRH/BD/136108/2018)
Topics: Physical Sciences › Computer Science › Artificial Intelligence › Geochemistry and Geologic Mapping
Physical Sciences › Engineering › Media Technology › Remote-Sensing Image Classification
Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Remote Sensing and Land Use
Keywords: lithium mineralization, lithium exploration, remote sensing, thermal infrared imaging, optical remote sensing, mineral exploration, image processing

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