European Facility For Airborne Research March 23, 2023, 21:41
NPL Software for Measurement Uncertainty Evaluation
Software developed at NPL to promote and support the use of the Guide to the expression of uncertainty in measurement (GUM).
CEOS: QA4EO-QAEO-GEN-DQK-006 A guide to expression of uncertainty of measurements.
Evaluation of measurement data - Guide to the expression of uncertainty in measurement (GUM)
This Guide establishes general rules for evaluating and expressing uncertainty in measurement that are intended to be applicable to a broad spectrum of measurements.
ISO 19157:2013 Geographic information -- Data quality
ISO 19157:2013 establishes the principles for describing the quality of geographic data.
→ defines components for describing data quality;
→ specifies components and content structure of a register for data quality measures;
→ describes general procedures for evaluating the quality of geographic data;
→ establishes principles for reporting data quality.
ISO 19157:2013 also defines a set of data quality measures for use in evaluating and reporting data quality. It is applicable to data producers providing quality information to describe and assess how well a data set conforms to its product specification and to data users attempting to determine whether or not specific geographic data are of sufficient quality for their particular application.
ISO/TS 19158:2012 Geographic information - Quality assurance of data supply
ISO/TS 19158:2012 provides a framework for quality assurance specific to geographic information. It is based upon the quality principles and quality evaluation procedures of geographic information identified in ISO 19157 and the general quality management principles defined in ISO 9000.
The framework defined in ISO/TS 19158:2012 enables a customer to satisfy itself that its suppliers, both internal and external, are capable of delivering geographic information to the required quality. Fundamental to the framework is the assurance of the supplier's ability to understand and meet the quality requirements. Through the quality assurance framework both the customer and the supplier are able to consider the quality required at the earliest opportunity in the production/update process.
ASPRS Positional Accuracy Standards for Digital Geospatial Data
This standard includes positional accuracy standards for digital orthoimagery, digital planimetric data and digital elevation data. Accuracy classes, based on RMSE values, have been revised and upgraded from the 1990 standard to address the higher accuracies achievable with newer technologies. The standard also includes additional accuracy measures, such as orthoimagery seam lines, aerial triangulation accuracy, lidar relative swath-to-swath accuracy, recommended minimum Nominal Pulse Density (NPD), horizontal accuracy of elevation data, delineation of low confidence areas for vertical data, and the required number and spatial distribution of checkpoints based on project area.