Ueckermann, M. P., Bieszczad, J., Entekhabi, D., Shapiro, M. L., Callendar, D. R., Sullivan, D., Milloy, J., & Massachusetts Institute of Technology. Department of Civil and Environmental Engineering. (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. Springer Berlin Heidelberg.
ISO-690 (author-date, English)UECKERMANN, Mattheus P, BIESZCZAD, Jerry, ENTEKHABI, Dara, SHAPIRO, Marc L, CALLENDAR, David R, SULLIVAN, David, MILLOY, Jeffrey und MASSACHUSETTS INSTITUTE OF TECHNOLOGY. DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING, 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. Springer Berlin Heidelberg. 1 Januar 2020.
Modern Language Association 9th editionUeckermann, M. P., J. Bieszczad, D. Entekhabi, M. L. Shapiro, D. R. Callendar, D. Sullivan, J. Milloy, und Massachusetts Institute of Technology. Department of Civil and Environmental Engineering. „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“. Springer Berlin Heidelberg, Januar 2020.
Mohr Siebeck - Recht (Deutsch - Österreich)Ueckermann, Mattheus P/Bieszczad, Jerry/Entekhabi, Dara/Shapiro, Marc L/Callendar, David R/Sullivan, David u. a.: 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, Springer Berlin Heidelberg 2020,
Emerald - HarvardUeckermann, M.P., Bieszczad, J., Entekhabi, D., Shapiro, M.L., Callendar, D.R., Sullivan, D., Milloy, J. und Massachusetts Institute of Technology. Department of Civil and Environmental Engineering. (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“, Springer Berlin Heidelberg.