Application of machine learning to proximal gamma-ray and magnetic susceptibility surveys in the Maritime Antarctic: assessing the influence of periglacial processes and landforms.

Autor: Mello, Danilo César de1 (AUTHOR) daniloc.demello@gmail.com, Baldi, Clara Glória Oliveira1 (AUTHOR) clara.baldi@ufv.br, Moquedace, Cássio Marques1 (AUTHOR) cassio.moquedace@ufv.br, Oliveira, Isabelle de Angeli1 (AUTHOR) isabelle.angeli@ufv.br, Veloso, Gustavo Vieira1 (AUTHOR) gustavo.v.veloso@gmail.com, Gomes, Lucas Carvalho2 (AUTHOR) lucas.gomes@agro.au.dk, Francelino, Márcio Rocha1 (AUTHOR) marcio.francelino@ufv.br, Schaefer, Carlos Ernesto Gonçalves Reynaud1 (AUTHOR) carlos.schaefer@ufv.br, Fernandes-Filho, Elpídio Inácio1 (AUTHOR) elpidio@ufv.br, Júnior, Edgar Batista de Medeiros1 (AUTHOR) edgar.junior@ufv.br, Oliveira, Fabio Soares de3 (AUTHOR) fabiosolos@gmail.com, Souza, José João Lelis Leal de Souza1 (AUTHOR) jjlelis@ufv.br, Ferreira, Tiago4 (AUTHOR) toferreira@usp.br, Demattê, José A. M.4 (AUTHOR) jamdemat@usp.br
Zdroj: Geoscientific Model Development Discussions. 4/15/2024, p1-40. 40p.
Databáze: Academic Search Ultimate