Tracks

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:

1. • 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.

Climate Change and Disease Monitoring:

1. • 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:

1. • 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:

1. • 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:

1. • 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 :

1. • 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:

1. • 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.