Pillars of Cloud-Based Earth Observation Science Education

Morgan A. Crowley, Michelle Stuhlmacher, Erin D. Trochim, Jamon Van Den Hoek, Valerie J. Pasquarella, Sabrina H. Szeto, Jeffrey T. Howarth, Rud Platt, Samapriya Roy, Beth Tellman, T. C. Chakraborty, Amber Ignatius, Emil Cherrington, Kel Markert, Qiusheng Wu, M. D. Madhusudan, Timothy Mayer, Jeffrey A. Cardille, Tyler Erickson, Rebecca MooreNicholas E. Clinton, David Saah

Research output: Contribution to journalComment/debatepeer-review


Earth observation (EO) is undergoing a paradigm shift with the development of cloud-based analytical platforms supporting EO data collection and access, parallel processing, easier communication of results, and expanded accessibility. As the global community of users and the diversity of applications grow, there is a clear need for expanded educational capacity to leverage these developments and increase the impact of EO research and teaching. Drawing upon extensive conversations between educators, practitioners, and researchers, we propose three pillars that must be prioritized to prepare students, researchers, and professionals to take full advantage of the cloud-based EO paradigm and guide future growth.

Original languageEnglish (US)
Article numbere2023AV000894
JournalAGU Advances
Issue number4
StatePublished - Aug 2023


  • Critical Remote Sensing
  • Earth observation
  • Google Earth Engine
  • cloud-based platforms
  • geospatial
  • remote sensing

ASJC Scopus subject areas

  • General Earth and Planetary Sciences


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