2026 International Conference on Remote Sensing, Geosciences and Artificial Intelligence (RSGAI 2026) invites submissions on the integration of AI with geospatial sciences. We seek innovative contributions across two core tracks: 

The topics of interest for submission include, but are not limited to:

A. Remote Sensing and Artificial Intelligence

A1: Remote Sensing Theory and Intelligent Sensor Technology

Optical Remote Sensing Theory

Microwave Remote Sensing Theory

Optical and GNSS Fusion

Multi-Spectral and Hyperspectral Optical Imaging

Optical Super-Resolution Imaging

AI Methods in Satellite Navigation and Positioning

Intelligent Control of Remote Sensing Platforms

A2: Remote Sensing Data Processing and Intelligent Algorithms

Remote Sensing Digital Image Processing

Atmospheric Optical Data Processing

Hyperspectral Image Processing

Remote Sensing Data Quality Assessment

Remote Sensing Pattern Analysis

Intelligent Image Processing Technology

AI, Machine Learning, and Deep Learning in Remote Sensing

Cloud and High-Performance Computing for Remote Sensing

A3: Intelligent Remote Sensing Applications and Environmental Monitoring

Atmospheric Environment Remote Sensing

Water and Surface Environment Optical Monitoring

Vegetation and Ecological Optical Monitoring

Geological Disaster Prediction and Evaluation

Climate Change and Carbon Monitoring

Resource and Mineral Remote Sensing Exploration

Agriculture and Precision Agriculture Remote Sensing Monitoring

Environment and Disaster Remote Sensing Monitoring

B. Geosciences and Artificial Intelligence

B1: Geographic Information Science and Artificial Intelligence

Geographic Information System (GIS) and AI

Global Navigation Satellite System (GNSS) and AI

Spatial Databases

Earth Exploration and Information Technology

Spatial Informatics

AI-Driven Digital Earth Frameworks

Smart Cities and Urban Remote Sensing Applications

B2: Measurement, Surveying, and Mapping with Artificial Intelligence

Computer Graphics

Precision Instrument Manufacturing

Sensor Technology

Intelligent Surveying, Mapping Technologies and Instruments

AI in Marine, Engineering, and Archaeological Surveying

B3: Interdisciplinary AI Applications in Earth Science

Climate Change Modeling and Monitoring

Carbon Cycle Analysis

Ecological and Environmental Monitoring

AI-based Earth Monitoring and Mapping

Space Technology and Landscape Analysis

AI in Geology, Geophysics, and Oceanography