Custom-built EO Monitoring

Organisations working with remote sensing imagery face challenges in extracting reliable, timely intelligence from large, noisy satellite datasets. Semablu addresses this by delivering bespoke AI models and image enhancement services that convert raw Earth Observation imagery into actionable geospatial products such as land cover maps, change detection layers and object detection outputs.

The offering combines AI-driven super-resolution to improve image detail with tailored machine-learning models trained for specific monitoring tasks and operational workflows. Typical engagements include model development, imagery enhancement, and deployment pathways to deliver maps, alerts and integrated outputs into customer systems.

Key capabilities:

• AI-driven super-resolution: Upscales low/medium-resolution satellite imagery to higher apparent spatial detail for improved detection and classification.
• Land cover mapping: Custom models that classify land use/cover types from multispectral and optical imagery.
• Change detection: Time-series and pairwise differencing models that automatically highlight surface changes.
• Object detection: Trained detectors for assets such as buildings, vessels, PV arrays and other targets in remote sensing imagery.
• Operational delivery: Model packaging and delivery options (APIs, integrations, managed services) for client workflows.