Ai for Space Application Training Program

What Will You Learn?

• Here’s what you’ll learn from the "AI in Space Applications" program:
• Day 1: Fundamentals of Remote Sensing
• History, platforms, and sensors used in remote sensing.
• Differences between active and passive, optical and radar sensing.
• Key terminologies like spatial, spectral, temporal, and radiometric resolution.
• Accessing and visualizing remote sensing data from platforms like NASA’s EarthData and Copernicus Open Access Hub.
• Day 2: Remote Sensing Data Preprocessing
• Formats and tools for remote sensing data (e.g., GeoTIFF, HDF, NetCDF).
• Techniques for data cleaning, radiometric, and atmospheric corrections.
• Image registration, resampling, mosaicking, cloud removal, and noise reduction.
• Python-based hands-on experience with tools like EarthPy and Rasterio.
• Day 3: Introduction to Machine Learning (ML) and Deep Learning (DL)
• Basics of ML/DL and their current trends.
• Overview of algorithms and techniques for exploratory data analysis (EDA).
• Hands-on exercises for data preparation and algorithmic thinking.
• Day 4: ML/DL Algorithm Implementation
• Using frameworks like scikit-learn, TensorFlow, and PyTorch.
• Classification using ML algorithms and introductions to CNNs, LSTMs, GANs, and Autoencoders.
• Day 5: Integrating AI with GIS
• Role of Geographic Information Systems (GIS) in remote sensing.
• Applications of AI in geospatial data analysis, including agriculture, forestry, urban planning, and disaster management.
• Hands-on projects in AI-powered remote sensing for real-world applications like crop monitoring and flood mapping.
• Day 6: Advanced Deep Learning
• Implementation of advanced neural network architectures like UNet.
• Introduction to edge computing and parallel computing.
• Foundation models and their role in space-related AI applications.
• Day 7: Live Project Work
• Training large pre-trained models using Hugging Face tools.
• Fine-tuning and comparing models, including vanilla vs. pre-trained model accuracy.
• Day 8: Doubt Clearance and Review
• Interactive doubt session to clarify concepts from all days.
• Guidance from mentors to solidify learning.
• By the end of this program, you’ll have a strong foundation in remote sensing, AI, and their applications in space, along with hands-on project experience to apply these skills effectively.