Hexagon AB’s R-evolution has begun deploying its Green Cubes digital twin technology across Brazil. This marks a major step in mining reclamation and environmental monitoring.
To begin with, the company has launched aerial 3D mapping missions. These missions use advanced airborne LiDAR and imaging systems. This initiative represents the next phase of the Green Cubes Digital Reality program. It focuses on supporting sustainable practices in the extractive industry.
Green Cubes Digital Twin for Environmental Monitoring
At its core, the Green Cubes digital twin integrates multiple reality capture technologies. These include satellite data, airborne and terrestrial LiDAR, camera traps, acoustic sensors, and ground-penetrating radar.
As a result, the platform delivers a comprehensive 3D environmental monitoring system. Moreover, the AI-powered interface provides a “digital window” into forest ecosystems. It allows users to visualize and analyse environmental conditions in real time.
High-Precision LiDAR Mapping
Powered by Leica Geosystems, the hybrid airborne system captures high-resolution imagery and LiDAR data at the same time.
Consequently, the flights will map more than 20 square kilometres. These areas include mining sites, protected zones, and nearby landscapes. In addition, the system generates high-density point clouds. These exceed 40 points per square metre.
This level of detail enables precise 3D modelling of forest structures. It also helps detect features from large trees to small branches.
Driving Mining Reclamation and Sustainability
Importantly, the Green Cubes digital twin helps mining companies monitor biodiversity. It also supports rehabilitation assessment and sustainability planning.
Furthermore, the technology improves transparency. It enables better decision-making through accurate environmental insights. Therefore, companies can meet regulatory requirements more effectively. They can also strengthen community engagement and long-term resource management.
Learn more about Green Cubes LiDAR environmental monitoring
