Model Architecture
Innovative designs for advanced earth observation and analysis.
EarthGPT-7B
Developing spatiotemporal attention and multi-scale features.
Physics Constraints
Utilizing fluid dynamics for loss function optimization.
Application Validation
Testing in Arctic, Bay Area, and Amazon regions.
Test Regions
Focusing on permafrost, urban expansion, and carbon assessment.
"Transformer-based Multitemporal Crop Classification Using Sentinel-2 Data" (IEEE TGRS 2024, IF 8.9)
"Real-time Flood Mapping with On-board AI: 2024 Pakistan Case" (Science Bulletin 2025)
"Ethical Guidelines for AI-assisted Satellite Image Interpretation" (Nature MI 2023)
Contribution to IEEE P2951 "Global Satellite AI Analysis Whitepaper"
The innovative spatiotemporal attention design truly enhances our understanding of complex environmental changes. The results from the Arctic and Amazon regions are remarkable!
★★★★★