A Summer School Session on Mastering Geospatial Artificial Intelligence: From Data Production to Artificial Intelligence Foundation Model Development and Downstream Applications
In collaboration with IBM Research, the NASA Interagency Implementation and Advanced Concepts Team (IMPACT) organized a specialized one-day summer school session focused on exploring the topic of data science at scale (see Figure 1). This session was a part of the “High Performance and Disruptive Computing in Remote Sensing” summer school hosted by the University of Iceland from 29 May to 1 June 2023 in Reykjavik, Iceland. This marked the third edition of the school organized by the High Performance and Disruptive Computing in Remote Sensing (HDCRS) Working Group of the IEEE Geoscience and Remote Sensing Society’s (GRSS’s) Earth Science Informatics (ESI) Technical Committee (TC). The school aimed to provide participants with a comprehensive understanding of contemporary advancements in high-performance computing (HPC), machine learning (ML), and quantum computing methodologies applied to remote sensing (RS). Additionally, it created a networking platform for students and young professionals to interact with leading researchers and professors in RS, thereby promoting collaboration in HDCRS interdisciplinary research. The session, organized by IBM Research and NASA IMPACT, was a crucial component of the four-day summer school program, according to the HDCRS chairs. This article offers a succinct overview of the session.