Organizers: Organised by the Centre for Space Science and Technology Education in Asia and the Pacific (CSSTEAP) and conducted by the National Remote Sensing Centre (NRSC), Indian Space Research Organisation (ISRO), Hyderabad, India.

Synthetic Aperture Radar (SAR) has emerged as one of the most powerful Earth observation technologies. This course provides a comprehensive understanding of SAR data and deep learning techniques for Earth observation applications, covering SAR image characteristics, data preprocessing, deep learning models for object detection and segmentation, oil spill monitoring, and hands-on analysis using real-world SAR datasets.

Course Content & Modules:

• Fundamentals of SAR Remote Sensing and SAR Image Interpretation
• SAR Data Pre-processing and AI-Ready Dataset Generation
• Deep Learning for SAR Image Analysis and Object Detection
• Deep Learning-Based Ship and Maritime Object Detection from SAR
• SAR-Based Oil Spill Detection and Classification
• Advanced Deep Learning, GeoAI and End-to-End SAR Applications

Eligibility: Intended for researchers, scientists, engineers, faculty, students, and professionals in Remote Sensing, GIS, AI, Geospatial Technologies, Ocean Applications, and Disaster Management. Nomination through Governing Board Members, Embassies, or Head of Institute/Organization is mandatory. Basic knowledge of Python programming is preferred.