The conference will cover a wide range of topics, emphasizing the latest technologies and their applications across various domains. Below are the suggestive tracks with subtopics(but not limited to..)

Advanced Remote Sensing Technologies:

• Next-generation satellite platforms (e.g., smallsats, cubesats, hyperspectral sensors).
• Innovations in LiDAR, SAR (Synthetic Aperture Radar), and thermal imaging.
• UAVs (Unmanned Aerial Vehicles) and drone-based sensing for environmental monitoring.
• AI and machine learning for image processing and geospatial data analysis.

Sensors in Remote Sensing Technologies:

• AI-Driven Data Processing for Remote Sensing Sensors
• Integrating data from multiple sensors to improve accuracy and insights.
• Low-Cost and Miniaturized Sensors for small-scale, affordable remote sensing systems
• Applications of Thermal and Infrared Sensors in Environmental Monitoring
• Urban planning and land-use analysis through sensor data.
• Sensor fusion methodologies for multi-source data integration

Climate Change and Disease Monitoring:

• Impact of changing climates on the prevalence of infectious diseases
• Geospatial monitoring of emerging health risks due to extreme weather events
• AI models for predicting climate-sensitive diseases (e.g., cholera, heatstroke)
• Remote sensing of water sources to study waterborne diseases
• Identifying regions vulnerable to climate-induced health crises

Natural Hazard Detection and Disaster Management:

• Early warning systems for earthquakes, floods, and landslides using remote sensing.
• Satellite-based monitoring for disaster response and recovery.
• Real-time data for wildfire detection and mitigation.
• Role of geospatial data in post-disaster healthcare delivery and logistics.

Environmental Monitoring and Sustainability:

• Remote sensing of ecosystems: biodiversity, land use, and vegetation analysis.
• Water resource monitoring and hydrology using satellite data.
• Precision agriculture: Monitoring soil health, crop yield prediction, and pest control.
• Urban sustainability: Mapping urban heat islands, pollution, and resource management.

Data Fusion and Big Data Analytics:

• Integration of multi-sensor and multi-platform data for enhanced Earth observation.
• Big data platforms for geospatial data storage, analysis, and visualization.
• Cloud computing for real-time geospatial data processing.
• High-performance computing for large-scale geospatial simulations.

Sustainable Agriculture and Forestry Management :

• AI for crop monitoring and yield prediction using remote sensing
• Early detection of pests and diseases in vegetation with geospatial data
• Remote sensing for forest biomass and carbon stock estimation
• Geo-AI for precision farming and irrigation optimization
• Monitoring afforestation and reforestation projects with satellite imagery
• Climate change effects on vegetation patterns using remote sensing data

Geoscience in Energy and Renewable Resource Management:

• Remote sensing for exploration and sustainable extraction of natural resources.
• Monitoring renewable energy infrastructure (solar, wind, hydropower).
• Environmental impact assessments of mining, drilling, and deforestation activities.
• Energy efficiency monitoring in urban and industrial areas.