Ueckermann, M.P., Bieszczad, J., Entekhabi, D., Shapiro, M.L., Callendar, D.R., Sullivan, D. und Milloy, J. (2020) „PODPAC: open-source Python software for enabling harmonized, plug-and-play processing of disparate earth observation data sets and seamless transition onto the serverless cloud by earth scientists.“, Earth Science Informatics, 13(4), S. 1507-1521. doi:10.1007/s12145-020-00506-0.
Chicago Manual of Style 17th edition (full note)Ueckermann, Mattheus P., Jerry Bieszczad, Dara Entekhabi, Marc L. Shapiro, David R. Callendar, David Sullivan, und Jeffrey Milloy. „PODPAC: Open-Source Python Software for Enabling Harmonized, Plug-and-Play Processing of Disparate Earth Observation Data Sets and Seamless Transition onto the Serverless Cloud by Earth Scientists.“. Earth Science Informatics 13, Nr. 4 (1. Dezember 2020): 1507-21. https://doi.org/10.1007/s12145-020-00506-0.
American Psychological Association 7th editionUeckermann, M. P., Bieszczad, J., Entekhabi, D., Shapiro, M. L., Callendar, D. R., Sullivan, D., & Milloy, J. (2020). PODPAC: open-source Python software for enabling harmonized, plug-and-play processing of disparate earth observation data sets and seamless transition onto the serverless cloud by earth scientists. Earth Science Informatics, 13(4), 1507-1521. https://doi.org/10.1007/s12145-020-00506-0
Modern Language Association 9th editionUeckermann, M. P., J. Bieszczad, D. Entekhabi, M. L. Shapiro, D. R. Callendar, D. Sullivan, und J. Milloy. „PODPAC: Open-Source Python Software for Enabling Harmonized, Plug-and-Play Processing of Disparate Earth Observation Data Sets and Seamless Transition onto the Serverless Cloud by Earth Scientists.“. Earth Science Informatics, Bd. 13, Nr. 4, Dezember 2020, S. 1507-21, https://doi.org/10.1007/s12145-020-00506-0.
ISO-690 (author-date, Deutsch)UECKERMANN, Mattheus P., Jerry BIESZCZAD, Dara ENTEKHABI, Marc L. SHAPIRO, David R. CALLENDAR, David SULLIVAN und Jeffrey MILLOY, 2020. PODPAC: open-source Python software for enabling harmonized, plug-and-play processing of disparate earth observation data sets and seamless transition onto the serverless cloud by earth scientists. Earth Science Informatics. 1 Dezember 2020. Bd. 13, Nr. 4, S. 1507-1521. DOI 10.1007/s12145-020-00506-0