Python for Aerospace & Satellite Data Processing

Unlock the power of Python in the high-tech world of aerospace engineering and satellite data analytics. This comprehensive book provides a hands-on, project-based guide for students, researchers, and professionals working at the intersection of aerospace and data science.

From satellite image processing and orbit simulation to flight telemetry analysis and geospatial visualization, this book walks you through real-world use cases using modern Python libraries such as satpy, xarray, rasterio, cartopy, poliastro, and more.

Whether you're working with Earth observation data, building tools for flight dynamics, or analyzing climate patterns from space, this book equips you with the skills to solve complex problems using Python’s robust ecosystem.

✅ What You’ll Learn:

• Read and process satellite imagery (MODIS, Sentinel, GOES)
• Visualize orbits and simulate space missions
• Analyze telemetry data and detect anomalies
• Create dynamic maps and spatial dashboards
• Use AI to extract insights from aerospace datasets

🎯 Who This Book is For:

• Aerospace engineers
• Remote sensing scientists
• Python developers
• Earth observation analysts
• Students in aerospace, GIS, or environmental science