TECHNOLOGY & ENVIRONMENT |2}
By Joseph BORKETEY
In Part 1, we documented the devastating scale of Ghana’s galamsey crisis. Here is a summary of the key findings:
Environmental collapse: Ghana lost approximately 35,000 ha of forest in 2024, roughly a third of it attributable to illegal mining. River turbidity in the Pra and neighbouring waterways has reached 12,000–14,000 NTU seven times the treatment limit while mercury concentrations exceed WHO standards by sixfold.
Staggering economic cost: Water-treatment liabilities tied to galamsey are projected to reach GH¢17.7 billion by 2030¹. Illegal mining threatens to reduce agricultural productivity by 6% by 2030, with cocoa yields in affected zones already down by up to 40%.
Rising violence: Ten of the 16 documented attacks on anti-galamsey officers and journalists since 2017 occurred in 2025 alone, underscoring the human cost of an enforcement strategy that relies almost entirely on physical confrontation.
A proven alternative: Ghana’s National Mine Surveillance Centre, using drones and AI, has already improved detection accuracy from 58% to 92% and cut response times from five days to under twelve hours demonstrating that technology works when properly deployed.
Part 2 sets out how to scale and institutionalise these gains through a comprehensive national framework.
1. Designing a Real-Time Monitoring and Alert System
An effective anti-galamsey framework must integrate multiple technologies and data sources to deliver continuous monitoring, automated detection, and rapid response. Four interlocking components are proposed.
Satellite and Aerial Imaging
SAR and optical satellites: Sentinel-1 SAR provides cloud-penetrating imagery, while Sentinel-2 and Landsat optical satellites offer high-resolution colour data. High-frequency commercial CubeSat constellations can achieve daily revisit times over priority areas. All imagery is ingested into a cloud platform for preprocessing and analysis.
Drones: Fixed-wing or multirotor drones equipped with RGB, multispectral, and thermal cameras verify and enrich satellite alerts. Capable of operating at night via infrared sensors and precisely geolocated via real-time kinematic (RTK) GPS, drones provide the fine-grained resolution that satellites cannot match at a fraction of the cost of manned aircraft.
AI Detection and Analytics
Image segmentation: Deep learning models such as VitSegh24 or U-Net variants segment mining footprints in satellite and drone imagery, identifying pits, waste-rock dumps, and tailings dams. The system continuously compares current imagery against historical baselines to flag new disturbances.
Change detection and forecasting: Time-series analysis tracks anomalies in vegetation greenness (NDVI), water turbidity, and land cover. Predictive models trained on historical patterns, rainfall data, and socioeconomic factors can anticipate where illegal mining is likely to expand next enabling pre-emptive rather than reactive enforcement.
Data fusion: Satellite and drone imagery are cross-referenced with mining licence records, excavator GPS trackers, water-quality sensor readings, and community ground reports. This fusion allows authorities to distinguish legal from illegal operations and to prioritise resources.
Real-Time Alert and Dispatch System
Geospatial dashboard: An interactive dashboard accessible to enforcement agencies displays each alert with coordinates, a risk score, and a classification (e.g., new pit, site expansion, equipment movement). The dashboard integrates road maps and topographical data to calculate the shortest safe route from the nearest base or security post to the flagged location.
Secure messaging and routing: The dashboard connects to mobile applications used by taskforce units. When AI flags a site, the system automatically dispatches push notifications with directions, estimated travel time, and recommended approach paths. Integration with digital radio networks ensures redundancy in areas with limited mobile coverage.
Community reporting: A public mobile app or USSD platform enables citizens to report suspected illegal mining anonymously. AI algorithms triage incoming reports, cross-validate them against satellite data, and prioritise credible alerts. This channel fosters community participation while reducing the need for hazardous physical confrontations.
Governance and Accountability
A national Digital Governance Framework should require judicial authorisation for high-resolution surveillance operations and mandate encrypted storage of environmental imagery. Quarterly transparency reports detailing drone flights, detected violations, and enforcement outcomes would build public trust.
Clear interagency protocols must govern data-sharing between the Minerals Commission, Forestry Commission, Ghana Armed Forces, Ghana Police Service, local governments, and research institutions. Universities can refine algorithms; private firms can manage drone fleets and predictive analytics. Critically, local expertise in geospatial data science, AI, and drone operations must be built through certification programmes at universities and innovation hubs.
Advantages of the Proposed System
Timely detection and deterrence: Automated alerts enable enforcement teams to respond within hours rather than days. The sheer visibility of continuous monitoring may also deter would-be illegal miners, as operations become riskier and less profitable under a system that never sleeps.
Reduced human risk: With technology handling detection, fewer personnel need to patrol remote forests, cutting exposure to violent confrontations. When teams are deployed, they travel with precise coordinates and situational awareness, reducing the likelihood of ambushes. Drones can scout ahead, identify armed groups, and adjust approach routes to avoid danger helping prevent tragedies like the killing of Captain Mahama and the assaults on journalists.
Cost-effectiveness: While satellites and drones require upfront investment, the system pays for itself by preventing environmental damage and recovering lost revenue. Ghana’s pilot programme improved detection accuracy to 92% and cut response times to under twelve hours, preventing an estimated ₵400 million in gold-smuggling losses. Prioritising high-risk sites reduces the number of patrols required, lowering fuel, personnel, and equipment costs.
Data for policy and planning: A continuous stream of geospatial data supports broader environmental governance: quantifying deforestation, tracking water-quality trends, evaluating reclamation efforts, and informing formalisation schemes that can transition artisanal miners into regulated enterprises.
Challenges and Considerations
Cost and infrastructure: High-resolution imagery, drone fleets, and AI infrastructure require significant capital. Governments will need to leverage public–private partnerships and international funding such as the World Bank’s Digital Ghana Project to make the system financially viable.
Data quality: AI models depend on up-to-date, accurate training data. Cloud cover, seasonal variation, and limited ground-truth records can reduce detection accuracy. Continuous labelling efforts and partnerships with universities are essential, and involving local communities in data validation improves trust while reducing false positives.
Technical capacity: Ghana currently lacks sufficient local expertise in AI, remote sensing, and drone operations. Training programmes at universities and technical institutes must be scaled urgently. International research partnerships can accelerate knowledge transfer in the short term, but the goal must be genuine local ownership.
Privacy and trust: Continuous aerial surveillance raises legitimate concerns about misuse. Without clear governance, communities may view drones as an instrument of state control rather than environmental protection. Public awareness campaigns must be paired with enforceable legal frameworks that guarantee oversight and accountability.
Socioeconomic root causes: Even the most sophisticated monitoring system will fail if enforcement is not coupled with solutions to poverty and the lack of alternative livelihoods. Government programmes must provide vocational training, access to finance, and formalisation pathways that bring small-scale miners into the legal economy. Technology can win battles; only inclusive development can win the war.
Conclusion
Illegal mining threatens Ghana’s environment, economy, and social fabric. Rivers and forests continue to degrade, and confrontations between security forces and illegal miners have resulted in tragic losses. Yet the evidence reviewed across both parts of this series points clearly to a path forward.
Satellites provide continuous, wide-area coverage; AI translates imagery into actionable alerts; drones verify anomalies and support field teams; and geospatial dashboards route personnel safely and efficiently. Ghana’s existing pilot programmes demonstrate that such systems can improve detection accuracy, accelerate response times, and recover significant revenue.
A national monitoring framework integrating these technologies, underpinned by strong governance, local capacity-building, and meaningful community involvement could finally turn the tide against galamsey.
Technology, however, is only part of the answer. Addressing the socioeconomic drivers of illegal mining, investing in local human capital, and ensuring ethical deployment are equally critical. If Ghana can align these elements, it will not only protect its rivers and forests, but also demonstrate to the world how a developing nation can harness innovation to solve one of the most complex environmental challenges of our time.
Sources
¹ Ghana Water Company Ltd. projects water-treatment costs from galamsey-contaminated rivers could reach GH¢17.7 billion by 2030. Source: Adomonline.com / MyJoyOnline.com, “Explainer: Why treating water could cost Ghana Water Ltd. ¢17.7 billion by 2030,” October 2025.
² World Bank, Ghana Agriculture Sector Review 2024; Ghana Statistical Service, Regional GDP Impact Report, 2024.
³ Ghana National Mine Surveillance Centre, Annual Performance Report 2025.
⁴ Finex Insights, “Violence Against Anti-Galamsey Taskforces and Journalists, 2017–2025,” March 2025.
Joseph Borketey | AI Automation | Agentic AI | Member, IIPGH
For comments, call: +44 7984754579 and email: [email protected]
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