Services: From Raw Data to Decision-Level Conclusions

Six capabilities chained into one pipeline - integration, processing, analysis, AI, scenario packaging and solution delivery.

1. Data Integration

Multi-source satellite data - optical, SAR and hyperspectral - is accessed through one unified entry point and scheduled through virtual networking. The buyer describes an area and a monitoring need; the service orchestrates suitable sources behind the interface instead of asking the buyer to negotiate with individual data suppliers or to judge sensor trade-offs alone.

2. Data Processing

Incoming data is standardised before analysis: radiometric correction, geometric correction and orthorectification, multi-source fusion and quality grading. A unified spatio-temporal reference is applied so that images from different sources and different dates can be compared like for like. Processing discipline is what makes later change detection credible.

3. Data Analysis

Analysis covers spatio-temporal change detection, time-series trend analysis and quantitative inversion of physical parameters, including vegetation, water bodies, land surface temperature and soil moisture. The emphasis is on what changed, where it changed, how the trend is moving, and what physical condition the data indicates - not on delivering a folder of images for the buyer to interpret.

4. AI Algorithms

AI models cover target recognition for vehicles, vessels, buildings and aircraft, as well as land-cover classification, parameter inversion, change detection, disaster recognition and agricultural detection. Models are maintained through an iteration closed loop, so interpretation improves as more validated results feed back into the system.

5. Scenario Analysis

Technical outputs are translated into scenario language. Know-how from agriculture, forestry, emergency response, energy and mining is packaged into decision-level conclusions: what a crop condition means for a yield outlook, what a deformation trend means for an asset, or what a change along a corridor means for an inspection team. This is the layer most raw-data suppliers do not provide.

6. Overall Solutions and Four Delivery Models

• API: the unified API feeds processed data and analysis into the systems the buyer already runs.
• Data subscription: ongoing, regular monitoring of a defined area or asset under a continuing service arrangement.
• Customised project: a scoped, one-off or phased delivery against a defined question, area and deliverable set.
• Private deployment: deployment inside the buyer environment, the option used where data sovereignty or local regulation requires data to stay local.

All four models sit under the same commitment: one interface, one contract, one SLA. To compare the models in depth, read the provider selection guide, then scope an engagement on the partnership page.

Data Governance

Data handling follows a governance framework covering encrypted transmission and storage, fine-grained permission grading and full-process audit, on a unified spatio-temporal baseline with full life-cycle management. Governance is part of the service design, not an afterthought added at delivery.