Go to:
Logótipo
Comuta visibilidade da coluna esquerda
Você está em: Start > Publications > View > MULTI-SCALE APPROACH USING REMOTE SENSING TECHNIQUES FOR LITHIUM PEGMATITE EXPLORATION: FIRST RESULTS
Publication

Publications

MULTI-SCALE APPROACH USING REMOTE SENSING TECHNIQUES FOR LITHIUM PEGMATITE EXPLORATION: FIRST RESULTS

Title
MULTI-SCALE APPROACH USING REMOTE SENSING TECHNIQUES FOR LITHIUM PEGMATITE EXPLORATION: FIRST RESULTS
Type
Article in International Conference Proceedings Book
Year
2020
Authors
Ana Teodoro
(Author)
FCUP
View Personal Page You do not have permissions to view the institutional email. Search for Participant Publications View Authenticus page View ORCID page
Mielke, C
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Korting, F
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Roda Robles, E
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Cauzid, J
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Other information
Authenticus ID: P-00T-FF2
Abstract (EN): Raw-materials like lithium (Li) are crucial to the current global decarbonization, but Li-exploration presents some technical challenges. Therefore, new solutions for Li-exploration are needed. Consequently, the aim of this study is to present a unique multi-scale remote sensing approach for Li-pegmatite exploration integrated within the LIGHTS project, considering as study area the Bajoca mine (Portugal). Satellite data allowed the identification of the spectral signatures of Li-pegmatites at a district scale, while drone-borne hyperspectral measurements provided data at the target scale. Handheld spectroscopy and in situ hyperspectral scans of the mine walls were carried out to validate the satellite and drone data. Hyperspectral field and laboratory scans also aim to collect information at the mineral scale, to distinguish different lithological materials, and to identify the Li-rich areas. In the future, machine learning algorithms will deliver an automated integration of all acquired data.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 4
Documents
We could not find any documents associated to the publication.
Recommend this page Top
Copyright 1996-2025 © Faculdade de Direito da Universidade do Porto  I Terms and Conditions  I Acessibility  I Index A-Z
Page created on: 2025-08-12 at 06:26:55 | Privacy Policy | Personal Data Protection Policy | Whistleblowing