American Psychological Association 6th edition

Ueckermann, 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

ISO-690 (author-date, English)

UECKERMANN, Mattheus P., BIESZCZAD, Jerry, ENTEKHABI, Dara, SHAPIRO, Marc L., CALLENDAR, David R., SULLIVAN, David and MILLOY, Jeffrey, 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 December 2020. Vol. 13, no. 4, p. 1507-1521. DOI 10.1007/s12145-020-00506-0.

Modern Language Association 9th edition

Ueckermann, M. P., J. Bieszczad, D. Entekhabi, M. L. Shapiro, D. R. Callendar, D. Sullivan, and 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, vol. 13, no. 4, Dec. 2020, pp. 1507-21, https://doi.org/10.1007/s12145-020-00506-0.

Mohr Siebeck - Recht (Deutsch - Österreich)

Ueckermann, Mattheus P./Bieszczad, Jerry/Entekhabi, Dara/Shapiro, Marc L./Callendar, David R./Sullivan, David et al.: 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 2020, 1507-1521.

Emerald - Harvard

Ueckermann, M.P., Bieszczad, J., Entekhabi, D., Shapiro, M.L., Callendar, D.R., Sullivan, D. and 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, Vol. 13 No. 4, pp. 1507-1521.

Warning: These citations may not always be 100% accurate.