UncertML is a conceptual model and XML encoding designed for encapsulating probabilistic uncertainties and may be used to quantify and exchange complex uncertainties in data. Most data contains uncertainty arising from sources such as measurement error, observation operator error, processing/modeling errors, or corruption.
Processing uncertain data propagates and often increases uncertainty. Thus there is a need for a standard way of characterizing uncertainty that is readily interpreted by software systems. UncertML is based on a number of ISO and OGC standards, such as ISO 19138 Data Quality Measures, and addresses the ISO/IEC guide to the expression of uncertainty in measurement. UncertML utilizes the OGC Geography Markup Language Standard and the OGC Sensor Web Enablement Common Standard.
The OGC Web Coverage Service Standard Extension for CF-netCDF Encoding provides a way for users of CF-NetCDF data to use the OpenGis Web Coverage Service Interface Standard. WCS defines a protocol-independent language for the extraction, processing, and analysis of multi-dimensional gridded coverages representing sensor, image, or statistical data. The netCDF interface, library, and format support the creation, access, and sharing of array-oriented scientific data. The CF metadata conventions provide definitive descriptions of what the netCDF data in each variable represent, including the data’s spatial and temporal properties.
For more information please visit www.opengeospatial.org.
