1054th IIRS Outreach Workshop
ISRO
📌 About the Event
The 1054th IIRS Outreach Workshop is an executive-level learning session conducted by the Indian Institute of Remote Sensing (IIRS) under ISRO (Department of Space, Government of India). This initiative bridges the gap between raw space-borne remote sensing data and real-world meteorology.
Participants learn how multi-sensor Earth Observation (EO) satellites feed directly into Numerical Weather Prediction (NWP) models, data assimilation pipelines, and Artificial Intelligence models to predict cyclone trajectories, landfall, and coastal inundation in real time.
📅 Critical Timelines & Key Details
- Event Date: July 30, 2026
- Delivery Mode: Online via IIRS EDUSAT / e-Learning Platform
- Cost: 100% Free (Government of India initiative)
- Credentials: Official ISRO-IIRS Course Participation Certificate awarded upon meeting mandatory attendance thresholds.
📚 Core Curriculum & Technical Modules
The workshop covers seven specialized technical tracks:
- Cyclone Fundamentals: Mechanics of tropical cyclone genesis, eye-wall development, and thermodynamic life cycles.
- Multi-Sensor Satellite Arrays: Working with scatterometers, altimeters, and infrared/microwave sensors (e.g., INSAT-3D/3DR, Oceansat).
- Numerical Weather Prediction (NWP): Mathematical modeling of atmospheric dynamics and track prediction.
- Satellite Data Assimilation: Integrating real-time satellite observational feeds into raw mathematical forecast models.
- AI/ML in Meteorology: Applying deep learning models for rapid intensity estimation and trajectory forecasting.
- Hazard Mitigation: Mapping storm surges, coastal inundation, and flood risk zones.
- Live Systems Demo: Hands-on walkthrough of ISRO and IMD operational weather monitoring platforms.
👥 Who Should Register?
This workshop is designed for students, researchers, and professionals across the following disciplines:
- Students: Engineering (All Streams), Meteorology, Earth Sciences, GIS & Remote Sensing, Environmental Science.
- Researchers & Professionals: AI/ML Researchers focusing on climate/spatiotemporal analytics, GIS Specialists, and Disaster Management Professionals.