Observations & Measurements & SWE in Inspire OGC Hydro DWG Workshop – Reading – 2012-06-26 Sylvain Grellet Office International de l’Eau.

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Observations & Measurements & SWE in Inspire OGC Hydro DWG Workshop – Reading – Sylvain Grellet Office International de l’Eau

OGC Hydro DWG Workshop – Reading – / 2 Table of content Cross-Thematic Working Group on O&M O&M design patterns O&M extensions to Inspire Provision of O&M encoded data

OGC Hydro DWG Workshop – Reading – / Scope : Several Inspire themes included measured / modeled / simulated data Inspire themes directly concerned Geology Oceanographic geographical features Atmospheric conditions and Meteorological geographical features Environmental monitoring facilities Soil Other themes indirectly evoke Observations Land Cover, Habitats and biotopes & Species distribution, Human Health & Safety … 3 Cross-Thematic Working Group on O&M

OGC Hydro DWG Workshop – Reading – / Goals : Determine requirements for O&M within INSPIRE Provide recommendations for Observations on INSPIRE features, Referencing of observations from INSPIRE features, Use of elements of Sensor Web Enablement.  D2.9 Guidelines for the use of Observations & Measurements and Sensor Web Enablement-related standards in INSPIRE Annex II and III data specification development D2.9 Guidelines for the use of Observations & Measurements and Sensor Web Enablement-related standards in INSPIRE Annex II and III data specification development  Link to V1.0 ( ). Final version expected around September. 4 Cross-Thematic Working Group on O&M

OGC Hydro DWG Workshop – Reading – / Decision tree : 5 O&M design patterns

OGC Hydro DWG Workshop – Reading – / Example : Observation centric Feature of Interest Point – Multiple Result in Time in this case, we show an air quality monitoring station providing hourly ozone measurements. The featureOfInterest represents the direct surrounds of the air intake (i.e. the air bubble surrounding the air intake, to be modelled as a sampling point (SF_SamplingPoint)) and is modelled as a samplingFeature. The location for the measurements is provided through the FoI. As this design patters usually provides a time series (temporal coverage) result, the phenomenonTime and/or resultTime will often be provided together with the result values. Administrative information relevant to the facility is stored in the EnvironmentalMonitoringFacility Class from the Environmental Monitoring Facilities Application Model. 6 O&M design patterns

OGC Hydro DWG Workshop – Reading – / Example : Observation centric Feature of Interest Curve – Multiple Result in Time In this design pattern the featureOfInterest represents the trajectory of a moving facility, for example a moving ship making sea surface temperature measurements. The trajectory is modelled as a samplingFeature, with the spatial sampling feature (e.g. a SF_SamplingCurve in O&M) being the media referred to, in this case, the ocean (or a further chain of samplingFeatures finally referring to the media). The actual locations of individual measurements along the trajectory are provided with the results. All measurement locations should be located within the trajectory described by the featureOfInterest; depending on the encoding of the result the actual location within the featureOfInterest as well as phenomenonTime and resultTime may be provided as a relative (i.e. 5m from start of trajectory) or absolute (i.e. coordinates) position. 7 O&M design patterns

OGC Hydro DWG Workshop – Reading – / Example : Observation centric Specimen – Single Result in Time In this design pattern the featureOfInterest represents a sample or specimen taken from the sampled feature and analysed ex situ in an external laboratory. The featureOfInterest is modeled as a SF_Specimen; the location pertaining to the measurement is provided by the attribute samplingLocation, the current location of the specimen is provided by the attribute currentLocation. Procedural information is provided through a laboratory report, the location of the laboratory is not relevant. In this design pattern, phenomenonTime and resultTime will both be required, as phenomenonTime provides the time the sample was taken whereas resultTime provides the time the results of the laboratory analysis were made available. 8 O&M design patterns

OGC Hydro DWG Workshop – Reading – / The observations Package 9 O&M extensions to Inspire

OGC Hydro DWG Workshop – Reading – / Ex : ObservableProperty : Dominic Lowe (British Atmospheric Data Centre - BADC) 10 O&M extensions to Inspire

OGC Hydro DWG Workshop – Reading – / Ex : Process : 11 O&M extensions to Inspire

OGC Hydro DWG Workshop – Reading – / Ex : Specialised Observations Same rationale as CSML Ex : PointObservation 12 O&M extensions to Inspire

OGC Hydro DWG Workshop – Reading – / Result encoding No clear consensus on State of the Art across thematic domains on result encoding. Examples presented : SWE Result Encoding, WaterML 2.0, GML Feature, GML Coverage, Linking to external file containing the result encoded in proprietary, binary format : NetCDF, SEG-Y, LAS, WITSML…  Discussion paper in annex to D O&M extensions to Inspire

OGC Hydro DWG Workshop – Reading – / Services for the Provision of O&M Encoded Data SOS recommended but other solution evoked (WFS, WCS) Registers/Registries Need structured registers, Stress the fact that this is a very strong requirement for the clear provision of reusable observational data. 14 Provision of O&M encoded data

OGC Hydro DWG Workshop – Reading – / 15 Thank you Katharina Schleidt (coordinator) : Sylvain Grellet :