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Detalhes Referência

Tipo
Artigos em Revista

Tipo de Documento
Artigo Completo

Título
X-ray tomography applied to tsunami deposits: Optimized image processing and quantitative analysis of particle size, particle shape, and sedimentary fabric in 3D

Participantes na publicação
Saptarshee Mitra (Author)
Raphaël Paris (Author)
Laurent Bernard (Author)
Rémi Abbal (Author)
Pascal Charrier (Author)
Simon Falvard (Author)
Pedro Costa (Author)
IDL
César Andrade (Author)
Dep. Geologia
IDL

Data de Publicação
2024-04

Suporte
Marine Geology

Identificadores da Publicação
ISSN - 0025-3227

Editora
Elsevier BV

Volume
470

Página Inicial
107247

Identificadores do Documento
DOI - https://doi.org/10.1016/j.margeo.2024.107247
URL - https://doi.org/10.1016/j.margeo.2024.107247

Identificadores de Qualidade
Web Of Science Q2 (2023) - 2.6 - GEOSCIENCES, MULTIDISCIPLINARY
SCOPUS Q1 (2023) - 6.1 - Geology
SCIMAGO Q1 (2023) - 0.956 - Geology


Exportar referência

APA
Saptarshee Mitra, Raphaël Paris, Laurent Bernard, Rémi Abbal, Pascal Charrier, Simon Falvard, Pedro Costa, César Andrade, (2024). X-ray tomography applied to tsunami deposits: Optimized image processing and quantitative analysis of particle size, particle shape, and sedimentary fabric in 3D. Marine Geology, 470, ISSN 0025-3227. eISSN . https://doi.org/10.1016/j.margeo.2024.107247

IEEE
Saptarshee Mitra, Raphaël Paris, Laurent Bernard, Rémi Abbal, Pascal Charrier, Simon Falvard, Pedro Costa, César Andrade, "X-ray tomography applied to tsunami deposits: Optimized image processing and quantitative analysis of particle size, particle shape, and sedimentary fabric in 3D" in Marine Geology, vol. 470, 2024. 10.1016/j.margeo.2024.107247

BIBTEX
@article{64703, author = {Saptarshee Mitra and Raphaël Paris and Laurent Bernard and Rémi Abbal and Pascal Charrier and Simon Falvard and Pedro Costa and César Andrade}, title = {X-ray tomography applied to tsunami deposits: Optimized image processing and quantitative analysis of particle size, particle shape, and sedimentary fabric in 3D}, journal = {Marine Geology}, year = 2024, volume = 470 }