Calibration & evaluation reports
Calibration study findings and quality assessment results, with the test conditions, reference sources, uncertainty and limits needed to interpret them.
Solution 01
Earth Observation & Sensor Validation
Optical sensor calibration and independent validation to establish how well your sensor or data product performs and whether it meets your project's requirements.
The challenge
Can your data support the intended decision?
A nominal resolution or accuracy specification does not describe performance under every acquisition and terrain condition. Sensor evaluation and product acceptance need suitable reference data, comparable measurements and a clear account of uncertainty.
Our approach
Build evidence for data quality
We develop optical sensor calibration and validation studies around your sensor, product and application. Our work connects sensor-model assessment, reference data, geometric assessment and multi-source comparison in a documented workflow.
- Optical sensor calibration and sensor-model assessment
- Sensor and data quality assessment
- Reference data generation and evaluation
- Geometric accuracy and DEM/DSM validation
- Cross-comparison of data sources and processing outputs
Example deliverables
Evidence you can inspect and reuse
The scope is agreed for each project and can include the following outputs.
Reference datasets
Prepared reference measurements and supporting metadata, with their suitability and independence assessed for the validation task.
Calibration & validation methods
Documented calibration procedures, comparison methods and evaluation criteria, with recommendations for further adjustment or assessment.
Processing workflows
Repeatable data preparation, calibration and evaluation steps, including agreed scripts or tools and documentation.
Methods & data
Match the reference to the measurement
Calibration characterises sensor behaviour and may support adjustments to relevant sensor models. Validation assesses the resulting data or products against independent reference data. We establish the available sensor information and evaluation criteria during scoping.
Studies may combine satellite or aerial imagery, elevation models, ground measurements and existing geospatial reference data. We check coordinate systems, acquisition dates, spatial sampling and reference quality before interpreting differences.
A meaningful assessment distinguishes sensor or product errors from changes in the scene and limitations in the reference itself.
Suitable projects
From sensor evaluation to product acceptance
- Satellite operators and Earth observation data providers calibrating optical sensors or assessing sensor and product performance
- Engineering and mapping teams checking imagery or elevation data before use
- Research teams developing validation methods or comparing processing approaches
Reference coverage, access rights and acquisition conditions determine which questions a study can resolve.
Start a conversation
Define the evidence your data needs
Share your project objective, area of interest, expected outputs and any schedule.