The study examines whether reported timber harvest volumes can be reliably estimated using canopy gaps detected by Sentinel-1 radar data across 93 concessions in the Congo Basin. Results show a strong linear relationship between harvested volume and disturbance area, outperforming existing forest monitoring systems. Aggregating data over multiple years further improves accuracy while maintaining consistent trends. The method also enables detection of illegal activities along logging roads. Overall, it provides a scalable, cost-effective tool for verifying logging operations, supporting sustainable forest management and informing international policies like FLEGT and the EU Deforestation Regulation.