Satellite Database
Building a multi-source satellite database for advanced data engineering.
Model Architecture
Developing EarthGPT-7B with innovative designs for enhanced analysis capabilities.
Application Validation
Validating applications in Arctic, Bay Area, and Amazon regions.
Innovate
Building a satellite database for advanced data engineering applications.
This study focuses on developing a next-generation satellite data analysis system (SatAI-2025) to address key scientific challenges: 1) How to achieve millimeter-level surface deformation detection using multi-temporal satellite data (Sentinel-2, Landsat 9, GF-7, etc.)? 2) Under climate change, how can AI models accurately interpret complex melting patterns of polar ice sheets (e.g., Greenland glaciers)? 3) For newly launched SWOT satellite data (2024), how to establish 3D dynamic models of water cycles? 4) In near-real-time disaster monitoring (e.g., 2025 March Philippines volcanic eruption), how to balance computational efficiency and prediction accuracy? 5) How to enable secure cross-border satellite data sharing via federated learning? Breakthroughs will usher in a new era of intelligent Earth observation.