Quality Control

Quality control of satellite imagery raw data ensures accuracy and reliability. Steps include data validation, calibration, and quality assessment to detect errors and ensure adherence to client specifications.

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Ensuring accuracy and reliability

Quality Control (QC) of satellite imagery raw data delivery process is crucial in guaranteeing the accuracy and reliability of satellite data. It serves as the minimum delivery from Geoimage, allowing clients with in-house capabilities to further process the data as needed.

The process of delivering raw data obtained from a satellite, also known as data delivery, involves ensuring the accuracy and quality of the data before it undergoes further analysis.

Satellite sensors and instruments collect the raw data, which is then transmitted to a ground station, where it is received and sent to Geoimage.

Our QC process comprises of several steps to verify the accuracy and reliability of the data

1. Data Validation

Data validation involves carefully examining raw data to detect errors, missing info, and anomalies from collection to processing, guaranteeing clean and reliable data free of major errors.

2. Calibration

Calibration adjusts raw data from satellite sensors to correct biases and inaccuracies, ensuring accuracy, comparability, and representation of real-world conditions without instrument limitations.

3. Quality Assessment

Following validation and calibration, quality assessment compares data with client specifications, contract terms, and ground-truth info to ensure accuracy, relevance, and fulfilment of requirements.

4. Reporting

Our team compiles results of validation, calibration, and quality assessment into a report. It communicates data accuracy, issues, limitations, and recommendations based on the client's preferences.