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Satellite imagery

As explained in Investing for Programmers

Satellite imagery is visual data captured by satellites for observing locations and objects on Earth.

Satellite imagery is visual data captured from space that can reveal movement trends and other signals about locations, industries, or companies. In investment analysis, it acts as alternative data: a possible way to test an investment thesis beyond fundamentals and conventional market data. section 11.1.1

Use satellite imagery cautiously:

  • Start with a specific investment thesis, then identify the information needed to validate it; do not collect data merely because it is available. section 11.1.1
  • Treat access as a practical constraint: selected datasets may be purchased through AWS Data Exchange or Snowflake Marketplace, while commercial subscriptions are not required for conceptual exploration. section 11.1.1
  • Expect more complex data handling than with out-of-the-box financial datasets, and seek evidence that can support rather than merely decorate a claim. section 11.1.1

How Investing for Programmers covers it

How deep it goes
Defines the opportunity and acquisition routes but stops short of implementation, dataset selection, or imagery analysis.
Examples
Uses movement trends as the main example and contrasts satellite data with telecommunications-provider data.
What it assumes
Assumes familiarity with investment fundamentals and investment theses while treating commercial data access as optional.
What you can do after
Evaluate whether satellite data could validate a defined investment thesis before pursuing costly external datasets.
How it connects
Connects satellite imagery to alternative data, big data, financial models, investment theses, and algorithmic trading.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Investing for Programmers. The section links point to the parts of the book it draws on.