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Techniques for deep learning with satellite & aerial imagery

A big, organised list of AI methods and projects for analysing satellite and aerial photos.

New this week

What it does

This is a reference list for people using AI on pictures taken from satellites, planes and drones. It gathers links to projects, papers and datasets, grouped by task.

Tasks include sorting land into types such as forest or farmland, spotting objects like buildings or ships, detecting changes over time, removing clouds, and estimating crop yields. There are also sections on large AI models and AI agents for this kind of imagery.

Each entry has a one-line note on what the linked project does.

Who it's for

Researchers, students and analysts working with earth observation, mapping, farming or environmental data.

Can I use it without coding?

Yes. It is a reading list. The linked projects mostly need programming. New to this? Start here.

Can I run it?

Cost
FreeNothing to pay or sign up for.
Runs on
Web browser
Computer
An ordinary computer is fine
API key
Not needed

Try it

  1. Open the list and pick a topic from the table of contents, such as object detection or crop classification.
  2. Use your browser's find feature to search the page for a specific term.

Using Claude Code, Cursor or another AI coding assistant? Paste the prompt and it will walk you through the setup.New to this?

Before you install

  • Only download from the official GitHub page. Copies with similar names exist for many popular projects.
  • License (Apache-2.0): Permissive: free to use, change and share, including for business.
  • More on staying safe