Seeking Abstracts for AGU 2023 Open Science and High Resolution Imagery Sessions
Three IMPACT-led teams are convening sessions that resonate with the American Geophysical Union’s (AGU) 2023 fall meeting theme: Wide. Open. Science. These sessions will be accepting abstracts until August 2, 2023 at 10:59 CST. See below for detailed information about each session and abstract submission links.
Kaylin Bugbee, team lead for the Science Discovery Engine (SDE), and Ashish Acharya, the technical team lead for SDE, are co-convening “Advancing Open Science: Emerging Techniques in Knowledge Management and Discovery” with Alberto Accomazzi, a researcher at the Harvard-Smithsonian Center for Astrophysics, and Jordan Padams, a developer at NASA’s Jet Propulsion Laboratory. They are seeking presentations that focus on data and information discovery, emerging informatics technologies, data and information governance, and natural language processing in the context of science data stewardship. Abstracts can be submitted here for this session.
IMPACT research scientist Deborah Smith is co-convening “New Approaches for Opening Airborne and Field Data to a Wider User Community” with Michele Thornton of the NASA ORNL DAAC and John Adler from NSF NEON. Deborah’s data rescue work with the Airborne Data Management Group (ADMG) at IMPACT is just one reason she encourages opening up airborne and field data to greater (re)use. The session will focus on highlighting ways to increase airborne and field data re(use), advance cloud-based analysis of heterogeneous data, and implement FAIR (Findability, Accessibility, Interoperability, and Reuse) data principles throughout the various communities collecting and using airborne and field data. Share your approach! Please submit your abstract to this session.
Recent advances in multi-source remote sensing have enabled near-daily Earth observation at a high spatial resolution (<10 m). The observations offered by high spatial resolution imagery add a wealth of information to our current understanding of global environmental changes and can aid in decision making across broad areas. Extensive spatial and temporal coverage is crucial in land mapping and management, disaster response, water resource management, and protecting natural resources.
IMPACT team member Madhu Sridhar is chairing a session with a focus on novel solutions and approaches that utilize high resolution satellite imagery to advance science through data-driven analysis techniques that adopt machine learning and cloud computing technologies to leverage high resolution satellite imagery for Earth observation research. Also in the scope of this session are applications that leverage new solutions using multi-platform fusion for monitoring environmental changes. Share your approach! Please submit your abstract to this session.