Detecting Lithium (Li) Mineralizations from Space: Current Research and Future Perspectives
dc.contributor.author | Cardoso Fernandes, Joana | |
dc.contributor.author | Teodoro, Ana Claudia | |
dc.contributor.author | Lima, Alexandre | |
dc.contributor.author | Perrotta, Mônica | |
dc.contributor.author | Roda Robles, María Encarnación | |
dc.date.accessioned | 2020-03-17T17:47:54Z | |
dc.date.available | 2020-03-17T17:47:54Z | |
dc.date.issued | 2020-04-05 | |
dc.identifier.citation | Applied Sciences 10(5) : (2020) // Article ID 1785 | es_ES |
dc.identifier.issn | 2076-3417 | |
dc.identifier.uri | http://hdl.handle.net/10810/42216 | |
dc.description.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. | es_ES |
dc.description.sponsorship | The authors would like to thank the financial support provided by FCT—Fundação para a Ciência e a Tecnologia with the ERA-MIN/0001/2017—LIGHTS project, FEDER through operation POCI-01-0145-FEDER-007690 funded by the Programa Operacional Competitividade e Internacionalização—COMPETE2020 and by National Funds through FCT within the ICT, R and D Unit (reference UIDB/04683/2020). The University of the Basque Country (UPV/EHU) contributed economically with grant GIU18/084. Joana Cardoso-Fernandes is financially supported within the compass of a Ph.D. Thesis, ref. SFRH/BD/136108/2018, by national funds from MCTES through FCT, and co-financed by the European Social Fund (ESF) through POCH—Programa Operacional Capital Humano. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | |
dc.subject | satellite data | es_ES |
dc.subject | image processing algorithms | es_ES |
dc.subject | pegmatite | es_ES |
dc.subject | brine | es_ES |
dc.subject | lithological mapping | es_ES |
dc.subject | mineral alteration mapping | es_ES |
dc.title | Detecting Lithium (Li) Mineralizations from Space: Current Research and Future Perspectives | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.date.updated | 2020-03-13T13:09:31Z | |
dc.rights.holder | © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). | es_ES |
dc.relation.publisherversion | https://www.mdpi.com/2076-3417/10/5/1785 | es_ES |
dc.identifier.doi | 10.3390/app10051785 | |
dc.departamentoes | Mineralogía y petrología | |
dc.departamentoeu | Mineralogia eta petrologia |
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Except where otherwise noted, this item's license is described as © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).