Geospatial Analysis with Drones and Computer Vision in Oil and Gas
Our client, a leading geospatial solutions provider in India, required an innovative solution to monitor land use and land cover (LULC) changes along their extensive pipeline network, with a particular focus on identifying environmental and human-driven changes that could impact pipeline integrity and safety. Manual change detection methods are time-consuming, error-prone and ineffective for the vast areas they needed to cover. This case study highlights how the integration of drone data with computer vision technology transformed their approach to LULC monitoring.
Key Takeaways:
- By integrating real-time drone data with computer vision technology, the client achieved highly accurate LULC classifications and change detection.
- The client was able to reduce the LULC analysis time significantly using AI-driven automation, allowing for timely reporting for effective decision-making.
- The detailed insights into natural and human-made changes enabled the client to plan ahead, ensuring pipeline safety and compliance with regulatory requirements.
- The comprehensive computer vision-powered solution ensured that it could scale as per client’s needs, providing continuous monitoring and analysis, enabling the client to act pre-emptively against risks like deforestation, encroachments, and land degradation.