Institution: University of Évora
Contact: marcelogs (at) uevora.pt
Biography:Concluded the Master's in Economic Geology in 2017 by the Faculdade de Ciências of Universidade de Lisboa. Member of Instituto de Ciêncicas da Terra (ICT) since 2020. Currently, it integrates the GIS team in the Moprevis project (DSAIPA/DS/0090/2018) and is enrolled in the Ciências da Terra e do Espaço PhD, in Universidade de Évora. The PhD thesis focuses on the combined use of hyperspectral and multispectral imagery obtained from satellites and unmanned air vehicles (UAV) to identify and characterize soil contamination using artificial intelligence, such as machine learning.
Keywords: satellites, UAV, multispectral, soil contamination, geology
Expertise Sought: Looking for like-minded colleagues to debate the best uses of band combination ratios, allied with machine learning algorithms, to identify and characterize soil contamination.