Mapflow AI for utility monitoring –

analysis of vegetation risks and work control near powerlines

Get reported on vegetation management

Safeguard the assets with remote control. Mitigate risks of power outages and plan costs for management works in the area. Get ready to use data to analyze vegetated areas and risky trees based on recent satellite imagery.


Super cost-effective for the extensive linear infrastructure Mapflow AI generates 3D objects out of mono satellite imagery. As lidar technology and aerial surveys are top-notch it might be expensive to collect data for all power transmission line networks, where monitoring vegetation is a constant challenge. Our AI models are trained on lidar data to perform on a 0.5-1m satellite images with the high accuracy (MAE 3–4m depending on the area and input resolution) so can be used standalone ot in a combination with other data surveys.

GIS and API integration

Our solution has an integration with QGIS ( providing an immediate workspace for data analysts using free and popular desktop software. Solution developers can start integration using Mapflow API. The deliverables and API can be customized to meet your workflow requirements whenever you work with professional software or download PDF/CSV.

Data streaming

Recent satellite imagery powered by the data streaming services enable instant access to global data with automatic processing (e.g. Maxar SecureWatch). You can also use your own UAV / Satellite images or the data subscription to get it securely connected to our AI platform.

Customer story – Hitachi Energy

Enchancing the capabilities of the satellite baseed analytics for Hitachi customers

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