Geospatial AI for Governance and Policy

Translating satellite analysis into evidence a policy maker can actually act on

Geospatial AI for Governance and Policy
Intermediate Geospatial AI 1 lessons Samuel Appiah Kubi

About this course

The best analysis in the world is useless if it can't be understood by the person deciding whether to declare a disaster, fund a monitoring programme, or submit an MRV report. This course is entirely about that translation step: what to report, how to state uncertainty honestly, and how to produce a document a non-technical policy audience will actually read and trust.

What you'll learn

  • Structure an EO analysis as a policy-ready product rather than a technical report
  • Generate REDD+-compatible MRV forest reports
  • Produce disaster-risk-reduction-ready flood damage assessment products
  • Build reproducible analysis pipelines that support an audit trail
  • Communicate uncertainty and limitations honestly to a non-technical audience

Requirements

  • Time Series Analysis and Change Detection (or equivalent EO background)
  • No advanced Python required

Course content

Structuring Analysis for a Policy Audience, Not a Technical One Preview 26 min
Free
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  • LevelIntermediate
  • Lessons1
  • CertificateYes
  • AccessLifetime
Samuel Appiah Kubi Instructor