Have an Abstract on AI and Earth Observations?
If you are planning on attending the American Geophysical Union (AGU) fall meeting and conduct research into AI and Earth observation data, we are interested in hearing from you. We are calling abstracts for the session described below.
With more Earth Observation (EO) data catalogs and artificial intelligence (AI) technologies available at a massive scale, data-driven insights can be rapidly discovered to support global policymaking and intervention for a healthy and safer society. Such data insight-based discovery can be streamlined through standardized open data and AI approaches.
Open standards may include cloud-optimized formats, such as cloud-optimized GeoTIFFs, and the Spatial Temporal Asset Catalog (STAC) specification, as well as the available applications that utilize these formats such as the machine learning (ML) model STAC extension and MLOps at production practices.
These standardized data insight and discovery technologies and techniques need to be discussed more broadly, with thorough knowledge exchange between science and decision support communities. This session seeks discussion on advancements of standard open data practices, AI/ML processes, application production pipelines, and end-user platforms in the communities for large-scale data insight discovery and decision-making support.
Learn more about or submit an abstract to session IN023 here.
