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 data engineering, machine learning and artificial intelligence frameworks for efficient interpretation, forecasting and decision support.
Modern GeoAI workflows now combine cloud-native Earth Observation infrastructure, Python-based geospatial data engineering, conventional machine learning, deep learning and generative artificial intelligence.
Earth Observation foundation models, vision-language models, large language models, retrieval-augmented generation and agentic artificial intelligence are enabling scalable analysis, natural-language interaction and intelligent automation of geospatial workflows.
These technologies will play a pivotal role in strengthening resilience, improving environmental assessment and supporting adaptive resource management for a sustainable Future Earth.
Includes tuition, accommodation, meals, study material and certificate.
Registration and document verification
Communication to selected participants
Main summer school event
Explore modern Earth Observation infrastructure, geospatial data engineering and advanced artificial intelligence frameworks for scalable analysis and intelligent decision support.
Cloud-based access, storage and processing of large Earth Observation datasets using modern geospatial data standards.
Python-based geospatial ecosystem using GDAL, Rasterio, GeoPandas, Xarray and TorchGeo for geospatial data ingestion, preprocessing, feature engineering and scalable analytics.
Supervised and unsupervised learning, ensemble methods, feature engineering, dimensionality reduction and statistically rigorous model validation for geospatial applications.
Convolutional Neural Networks, transfer learning, semantic segmentation, instance segmentation, object detection and high-resolution image understanding for remote sensing applications.
Diffusion models, Generative Adversarial Networks, image-to-image translation, super-resolution, cloud removal, synthetic data generation and Earth Observation data augmentation.
Self-supervised representation learning, Segment Anything Model, Prithvi, DINO and domain adaptation through parameter-efficient fine-tuning for downstream geospatial tasks.
Multimodal reasoning, geospatial knowledge extraction, natural-language interaction with spatial data and intelligent Earth Observation analytics.
Hybrid semantic retrieval, vector databases, grounded geospatial reasoning and knowledge-enhanced large language model applications for Earth Observation workflows.
Autonomous geospatial agents integrating large language models, external tools, geospatial services and scientific workflows for intelligent Earth Observation analysis and decision support.
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.