GEOAI FOR FUTURE EARTH
Discover how geospatial science, artificial intelligence and Earth Observation technologies are transforming climate resilience, resource management and sustainable development.
Sessions by experts from ISRO, Academia and Industry
October 2026
A multidisciplinary learning experience connecting geospatial science, remote sensing, artificial intelligence and sustainability.
GeoAI—the convergence of geospatial science and artificial intelligence—is transforming how we observe, understand and manage the Earth system.
In the face of Future Earth challenges such as climate change, water stress, food security, biodiversity loss and rapid urbanisation, GeoAI enables scalable and data-driven insights by integrating satellite remote sensing, in-situ measurements and socio-economic data streams.
The rapid expansion of Earth Observation datasets offers unprecedented analytical potential, while creating a need for advanced AI frameworks for efficient interpretation, forecasting and decision support.
Emerging technologies including Vision Transformers, self-supervised learning, foundation models, spatiotemporal graph neural networks and physics-informed neural networks are redefining modern GeoAI methodologies.
Cloud-native geospatial platforms, data cubes, multimodal learning, generative AI and explainable AI now enable seamless data fusion, large-scale modelling and near-real-time analytics.
GeoAI will play a pivotal role in strengthening resilience, improving climate risk assessment and supporting adaptive resource management for a sustainable Future Earth.
Hazard detection and rapid response modelling.
Flood, drought and water-system intelligence.
Crop health, yield and food-security analytics.
Heat-island and urban resilience assessment.
Emission monitoring and ecosystem assessment.
Includes tuition, accommodation, meals, study material and certificate.
Registration and document verification
Communication to selected participants
Main summer school event
Advanced image interpretation and feature learning for Earth Observation datasets.
Large-scale geospatial intelligence with transferable and reusable representations.
Modelling complex spatial relationships and interconnected Earth systems.
Machine-learning systems guided by physical laws and scientific processes.
Fusion of SAR, optical, LiDAR, climate and socio-economic information.
Data reconstruction, synthetic generation and environmental scenario simulation.
The program welcomes participants interested in geospatial technologies, Earth Observation, artificial intelligence, sustainability and environmental decision-making.
Complete academic and practical training.
Residential stay during the summer school.
Accommodation support for eligible participants.
Comfortable shared accommodation facilities.
Breakfast, lunch, dinner and refreshments.
Learning resources and program material.
Official certificate of participation.
Interaction with experts and fellow participants.
Join an intensive week of expert sessions, practical training, collaborative workshops and emerging GeoAI technologies.
Download the step-by-step Visa Guide for international participants to learn about the Indian visa application process, required documents, invitation letters, and essential travel information for ACRS 2026.