Applying the GUM methodology (Guide to the expression of Uncertainty in Measurement), based on the International Organization for Standardization (ISO), for the analysis of uncertainties in Synthetic Aperture Radar (SAR) remote sensing data. The principal idea is to assess the sources of uncertainty, developing computational approaches to propagate uncertainties through the whole SAR signal processing chain. The final goal is to construct uncertainties budgets to quantify the total uncertainty of SAR products, permitting their “traceability” to international reference standards.


Find out more about the Quality assessment of SAR data capability and let us know how we can help you.

Want to find out more about our capabilities?
Try our capabilities search tool.

Search Capabilities

Keep up to date with the latest SPRINT news and events with our monthly newsletter