Key Takeaways
- Kuva Space’s pilot demonstrated that hyperspectral satellite data can enhance monitoring of illicit crops, particularly opium poppy in Afghanistan.
- The combined use of Kuva Space’s hyperspectral imagery and AI improved detection accuracy and reduced false positives compared to conventional methods.
- This technology allows for scalable monitoring over vast areas, paving the way for identifying and addressing illicit crop production effectively.
Kuva Space, a Finnish company specializing in space technology, has successfully conducted a pilot project showcasing how hyperspectral satellite data can improve the monitoring of illicit drug cultivation, specifically opium poppy in Afghanistan. By combining its Hyperfield imagery with Sentinel-2 data and artificial intelligence (AI), the company developed a system that enhances detection capabilities, addressing the challenges of distinguishing illicit crops from legal ones.
The geography of opium production is undergoing rapid changes, with Afghanistan’s opium output remaining significantly lower than in previous years, while production in Myanmar surged by 17% in 2025. As production shifts across regions, authorities face the challenge of monitoring these areas effectively, especially where physical access is limited. Kuva Space’s approach leverages hyperspectral satellites and AI to identify regions requiring further investigation.
In the pilot study conducted in Helmand Province, 248,889 agricultural fields were identified, with 8,835 fields flagged as likely producing opium poppy. The use of 363 hyperspectral images from January to June 2026 covered nearly 648,450 km², demonstrating the potential for monitoring large, difficult-to-access areas. Kuva Space utilized AI to accurately define field boundaries and assess spectral signatures for opium identification. The model achieved 75% accuracy—outperforming Sentinel-2 alone—by primarily reducing false positives.
Reducing false positives is crucial for efficient resource allocation, as it allows authorities to focus on the fields most likely to yield illicit crops. Kuva Space aims for greater accuracy in future iterations, targeting over 90% through improved data collection, advanced satellites, and integrated datasets.
The pilot results align broadly with United Nations Office on Drugs and Crime (UNODC) data but emphasize that individual field verification will require more ground-truth efforts. Field mapping can minimize the burden on authorities by enabling them to prioritize inspections based on predicted likelihoods rather than treating all fields equally.
Addressing concerns about cultivators potentially disguising illicit crops, Kuva Space noted that hyperspectral sensors are capable of detecting subtle differences in plant composition, bolstered by temporal data relating to growth and harvest cycles.
As the pilot transitions into operational monitoring, Kuva Space plans to extend its efforts to other regions, including Myanmar, and adapt the technology for various crops, based on demand. CEO Jarkko Antila stated that this approach marks a shift in the economics and scalability of illicit crop monitoring, allowing for focused, detailed analysis where it is most needed.
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