title: Geoweaver: Advanced Cyberinfrastructure for Managing Hybrid Geoscientific AI Workflows
abstract: AI (artificial intelligence)-based analysis of geospatial data has gained a lot of attention. Geospatial datasets are multi-dimensional; have spatiotemporal context; exist in disparate formats; and require sophisticated AI workflows that include not only the AI algorithm training and testing, but also data preprocessing and result post-processing. This complexity poses a huge challenge when it comes to full-stack AI workflow management, as researchers often use an assortment of time-intensive ma
journal: ISPRS International Journal of Geo-Information