Joint Inversion of Apparent Conductivity and Magnetic Susceptibility to Characterize Buried Targets (2017)
- Authors:
- USP affiliated authors: PORSANI, JORGE LUIS - IAG ; SANTOS, VINICIUS RAFAEL NERIS DOS - IAG ; BORTOLOZO, CASSIANO ANTONIO - IAG
- Unidade: IAG
- DOI: 10.1109/lgrs.2017.2683400
- Subjects: ELETROMAGNETISMO; GEOFÍSICA APLICADA
- Language: Inglês
- Imprenta:
- Source:
- Título: IEEE Geoscience and Remote Sensing Letters
- ISSN: 1545-598x
- Volume/Número/Paginação/Ano: v.14, n.6, p.846-850, 2017
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
SANTOS, Vinicius Rafael Neris dos e BORTOLOZO, Cassiano Antonio e PORSANI, Jorge Luís. Joint Inversion of Apparent Conductivity and Magnetic Susceptibility to Characterize Buried Targets. IEEE Geoscience and Remote Sensing Letters, v. 14, n. 6, p. 846-850, 2017Tradução . . Disponível em: https://doi.org/10.1109/lgrs.2017.2683400. Acesso em: 12 jan. 2026. -
APA
Santos, V. R. N. dos, Bortolozo, C. A., & Porsani, J. L. (2017). Joint Inversion of Apparent Conductivity and Magnetic Susceptibility to Characterize Buried Targets. IEEE Geoscience and Remote Sensing Letters, 14( 6), 846-850. doi:10.1109/lgrs.2017.2683400 -
NLM
Santos VRN dos, Bortolozo CA, Porsani JL. Joint Inversion of Apparent Conductivity and Magnetic Susceptibility to Characterize Buried Targets [Internet]. IEEE Geoscience and Remote Sensing Letters. 2017 ;14( 6): 846-850.[citado 2026 jan. 12 ] Available from: https://doi.org/10.1109/lgrs.2017.2683400 -
Vancouver
Santos VRN dos, Bortolozo CA, Porsani JL. Joint Inversion of Apparent Conductivity and Magnetic Susceptibility to Characterize Buried Targets [Internet]. IEEE Geoscience and Remote Sensing Letters. 2017 ;14( 6): 846-850.[citado 2026 jan. 12 ] Available from: https://doi.org/10.1109/lgrs.2017.2683400 - Joint inversion of DC and TEM data: preliminary results
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- 2D TEM modeling for a hydrogeological study in the Paraná sedimentary basin, Brazil
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Informações sobre o DOI: 10.1109/lgrs.2017.2683400 (Fonte: oaDOI API)
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