(Including but not limited to the following topics)
Track 1: Remote Sensing Science and Intelligent Interpretation
Optical and Microwave Remote Sensing
High-Resolution and Multi-Spectral Remote Sensing
Synthetic Aperture Radar Technology
Lidar Remote Sensing
Multi-Source Remote Sensing Data Fusion
Intelligent Interpretation of Remote Sensing Images
Object Detection and Change Detection
Remote Sensing Big Data Processing
Remote Sensing Radiometric Calibration and Authenticity Verification
Planetary Remote Sensing and Mapping
Track 2: Geographic Information and Spatial Analysis
Theoretical and Methodologies of Geographic Information Systems
Spatial Data Mining and Knowledge Discovery
Spatial Statistics and Geostatistics
Spatial Database and Indexing Technologies
Spatial Data Visualization and Mapping
Digital Twin and Virtual Geographic Environment
Spatial Decision Support Systems
Geospatial Big Data Analysis
Multimodal Spatial Data Fusion
Spatial Data Quality and Uncertainty
Track 3: Spatial Intelligence and Geographical Artificial Intelligence
The Foundation Models of Geographical Artificial Intelligence
Spatial Explicit Machine Learning
Physical Information Geographical Artificial Intelligence and Neural Symbolic Methods
Geographic Knowledge Graphs and Semantic Reasoning
Large Language Models and Spatial Reasoning
Spatial Agents and Autonomous Decision-Making
Interpretable Geographical Artificial Intelligence and Trustworthy Spatial Intelligence
Generative AI and Geographical Scene Simulation
Edge Intelligence and Real-Time Spatial Computing
Geographical Artificial Intelligence Ethics, Fairness, and Privacy