(The following topics include but are not limited to)
Track 1: Environmental Remote Sensing and Intelligent Monitoring
Atmospheric Environmental Remote Sensing
Water Environmental Remote Sensing
Land Environmental Remote Sensing and Vegetation Ecological Remote Sensing
Remote Sensing Evaluation of Soil Moisture, Salinization, Heavy Metal Pollution
Remote Sensing Dynamic Monitoring of Land Use/Land Cover Changes
Remote Sensing Inversion of Environmental Parameters
Thermal Infrared Remote Sensing and Surface Temperature/Heat Island Effect Monitoring
Optical Remote Sensing, Microwave Remote Sensing and Radar Remote Sensing Technologies
High-Spectral/Multi-Spectral Image Processing and Applications
Unmanned Aerial Vehicle Remote Sensing and Near-Earth High-Resolution Environmental Sensing
Remote Sensing Data Fusion, Quality and Model Analysis
Emergency Remote Sensing Monitoring of Environmental Disasters
Deep Learning Object Detection and Semantic Segmentation of Remote Sensing Images
Multi-Source Remote Sensing Data Fusion and Intelligent Interpretation
Time Series Anomaly Detection and Environmental Change Warning Based on AI
Track 2: Geographic Information System and Spatial Information Technology
Geological Informationization
Application of Geographic Information Technology in Geographical Environment/Geology/Soil and Rock, Mineral and Energy Resources
Geological Hazard Prediction, Assessment and Control
Remote Sensing Interpretation of Geological Structures/Structural Evolution
Earth Exploration and Information Technology
Theory and Application of Geographic Information System (GIS)
Global Navigation Satellite System (GNSS) and Satellite Navigation Positioning
Spatial Database and Spatial Data Mining
Remote Sensing Information Engineering and Remote Sensing Information Extraction
Digital Image Processing and Hyperspectral Image Processing
Photogrammetry and Inclined Photography Technology
Surveying Theory and Technology
Planetary Remote Sensing and Mapping
Data Assimilation and Uncertainty Analysis in Geographical Information Science
GeoAI and Geospatial Artificial Intelligence
Track 3: Ecological Big Data and AI Applications
Ecological Big Data Collection, Storage and Management
Application of Artificial Intelligence and Machine Learning in Ecological Remote Sensing
Intelligent Interpretation of Remote Sensing Images Driven by Deep Learning
Geospatial Artificial Intelligence (GeoAI) and Foundation Models
Remote Sensing Large Models and Multimodal Learning
Ecological Big Data Mining and Knowledge Discovery
Ecosystem Service Assessment and Value Calculation
Remote Sensing Monitoring of Biodiversity
Carbon Sink Monitoring, Carbon Cycle and Carbon Neutrality Remote Sensing
Climate Change and Ecosystem Response Analysis
Ecological Intelligence Warning and Risk Assessment
Digital Twin-driven Ecosystem Simulation
Interpretable AI and Uncertainty Quantification
Remote Sensing and GIS in Sustainable Development Goals (SDGs) Applications...