Artificial intelligence (AI)

Artificial intelligence (AI)

1. Contributes to the development of environmental management and the sustainability of territories in the following ways

   • Information Governance
     • AI can facilitate better governance of geographic and environmental information by enabling more integrated and efficient data management among different agencies and organizations.
       • In materials science
         • Discovery of new materials for solar panels, the conversion of waste heat into useful energy, and the development of absorbents for CO2 capture.
   • Long-term Planetary Observation
     • Satellite data processing using AI techniques such as computer vision can generate valuable information for long-term environmental monitoring and management, for example, in land cover issues.
       • In manufacturing
         • Reducing waste and energy consumption in manufacturing plants, improving precision with robotics, and developing more efficient processes.
   • Improvement of Positioning Accuracy
     • Satellite-based augmentation systems (SBAS) supported by AI can significantly increase positioning accuracy, which is critical for improving environmental and infrastructure management and protection.
       • In water resource management
         • Reduce or eliminate water waste by minimizing environmental impact. In addition, it can assist in local climate prediction to aid water conservation.
       • In transportation
         • Reduce traffic congestion, improve freight logistics, and enable autonomous driving, which reduces the demand for transit and delivery trucks.
   • 3D Measurement of Forest Structure
     • The application of LiDAR technologies in satellites, driven by AI, allows for the mapping of the three-dimensional structure of forests, which is fundamental for more accurate estimation of stored carbon and monitoring of forest changes.
   • Detection and Prevention of Environmental Problems
     • Detect and predict phenomena such as oil spills, desertification patterns, etc., in order to take more effective preventive and environmental management measures.
   • Process Optimization and Impact Reduction
     • AI can contribute to optimizing resource consumption, minimizing human errors, and improving efficiency in various sectors such as energy, manufacturing, and transportation, resulting in a smaller environmental footprint.
       • In facility management
         • Optimize energy consumption in buildings by measuring space occupancy and anticipating the availability of renewable energy.
       • In the energy sector
         • Monitor and control renewable energy producers and consumers, improve efficiency through better weather forecasting, and reduce carbon emissions.