ZICKEL, Mirijam, GRÖBNER, Marie, RÖPKE, Astrid und KEHL, Martin, 2024. Mi GIS: micromorphological soil and sediment thin section analysis using an open-source GIS and machine learning approach. E&G Quaternary Science Journal. 1 Januar 2024. Vol. 73, no. 1, p. 69-93. DOI 10.5194/egqsj-73-69-2024.
Elsevier - Harvard (with titles)Zickel, M., Gröbner, M., Röpke, A., Kehl, M., 2024. Mi GIS: micromorphological soil and sediment thin section analysis using an open-source GIS and machine learning approach. E&G Quaternary Science Journal 73, 69-93. https://doi.org/10.5194/egqsj-73-69-2024
American Psychological Association 7th editionZickel, M., Gröbner, M., Röpke, A., & Kehl, M. (2024). Mi GIS: micromorphological soil and sediment thin section analysis using an open-source GIS and machine learning approach. E&G Quaternary Science Journal, 73(1), 69-93. https://doi.org/10.5194/egqsj-73-69-2024
Springer - Basic (author-date)Zickel M, Gröbner M, Röpke A, Kehl M (2024) Mi GIS: micromorphological soil and sediment thin section analysis using an open-source GIS and machine learning approach.. E&G Quaternary Science Journal 73:69-93. https://doi.org/10.5194/egqsj-73-69-2024
Juristische Zitierweise (Stüber) (Deutsch)Zickel, Mirijam/ Gröbner, Marie/ Röpke, Astrid/ Kehl, Martin, Mi GIS: micromorphological soil and sediment thin section analysis using an open-source GIS and machine learning approach., E&G Quaternary Science Journal 2024, 69-93.