ENDMEMBER EXTRACTION FOR LCT PEGMATITE DETECTION IN BRAZIL - A NEW APPROACH FOR GREENFIELD PROSPECTION USING HYPERSPECTRAL DATA

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2024

Autores

Santos, D (Autor) Outra; Nogueira, A (Autor) Outra; Cardoso-Fernandes, J (Autor) FCUP; Alexandre Lima (Autor) FCUP; Ana Teodoro (Autor) FCUP

Ata de Conferência Internacional

Título: IGARSS 2024-2024 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, IGARSS 2024

Páginas: 7724-7728

IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

Athens, GREECE, JUL 07-12, 2024

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-016-WY1

DOI: 10.1109/igarss53475.2024.10641084

Abstract (EN): This study addresses the challenge of subpixel occurrence in identifying Lithium Cesium Tantalum (LCT) pegmatites, crucial sources of lithium for electric batteries. Previous spectral unmixing methods have been applied in brownfield sites with pre-existing large mines, facilitating pegmatite endmember acquisition. However, this work focuses on a method for greenfield exploration, presenting a knowledge transfer approach to transfer pre-extracted pegmatite endmembers to new areas using a spectral unmixing based method. Two study areas in Minas Gerais, Brazil, were chosen: Area 1 (A1) as a brownfield site for deriving a pegmatite endmember, and Area 2 (A2) simulates a greenfield area to test the efficacy of the pre-extracted endmember. The Mixture Tuned Matched Filtering (MTMF) classification method was employed, showcasing potential value in scenarios where no pegmatite occurrences are known.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 5