The View from Above Getting Started with Satellite Images
summary
Shows a practical pipeline that pulls Sentinel imagery and NASA archives, processes them with Python scripts and free libraries to map water, rooftop solar potential and even estimate population counts in 3D. Demonstrates workflows for deriving indices relevant to micronutrient deficits and sanitation, mentions validating against top-100 ground samples, and working at resolutions down to ~0.1 m where available. Includes runnable minimal code, links to data sources, and examples of policy-ready maps and monitoring dashboards.
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chapters (7)
- 0:00Introduction to satellite images
- 3:47Satellite images in social science
- 11:51Minimal code for satellite data
- 15:46Practical applications of satellite images
- 20:41Challenges in satellite image analysis
- 25:06Economic activity from satellite data
- 27:05Q&A and summary
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