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A standard for geospatial observations and
measurements
Simon Cox | Research Scientist | Environmental Information Infrastructures
28 August 2015
LAND AND WATER
Standards for observation data
• Motivation and development
• Earth-science and environmental applications
• Semantics
Simon Cox - RMIT 2015-08-28
Origins
Simon Cox - RMIT 2015-08-28
A bit of history
Simon Cox - RMIT 2015-08-28
• 1993-2000 AGCRC
• Web-mapping
• Reporting research online
• 1995
A bit of history
Simon Cox - RMIT 2015-08-28
• 1993-2000 AGCRC
• Web-mapping
• Reporting research online
• 1999-2004 XMML, ADX
• Exploration data standards
A bit of history
Simon Cox - RMIT 2015-08-28
• 1993-2000 AGCRC
• Web-mapping
• Reporting research online
• 1999-2004 XMML, ADX
• Exploration data standards
A bit of history
Simon Cox - RMIT 2015-08-28
• 1993-2000 AGCRC
• Web-mapping
• Reporting research online
• 1999-2004 XMML, ADX
-2010 AuScope
• Exploration data standards
A bit of history
Simon Cox - RMIT 2015-08-28
• 1993-2000 AGCRC
• Web-mapping
• Reporting research online
• 1999-2004 XMML, ADX
-2010 AuScope
• Exploration data standards
• 2002-2005 OGC SWE
• Sensors anywhere
A bit of history
Simon Cox - RMIT 2015-08-28
• 1993-2000 AGCRC
• Web-mapping
• Reporting research online
• 1999-2004 XMML, ADX
-2010 AuScope
• Exploration data standards
• 2002-2005 OGC SWE
• Sensors anywhere
• 2005-2013 Fluid Earth
• Water informatics
A bit of history
Simon Cox - RMIT 2015-08-28
• 1993-2000 AGCRC
• Web-mapping
• Reporting research online
• 1999-2004 XMML, ADX
-2010 AuScope
• Exploration data standards
• 2002-2005 OGC SWE
• Sensors anywhere
• 2005-2013 WIRADA
• Water informatics
Motivation for a standard
All of society’s grand challenges require data to
be shared and integrated across cultures, scales
and technologies
Simon Cox - RMIT 2015-08-28
Motivation for a standard
• Integrated analysis and modelling
• Discovery & data integration a
significant challenge
• Standard vocabulary
Many private contracts
one public agreement!
Simon Cox - RMIT 2015-08-28
Remote sensing
Sensor
Value
Parameter
Scene
Earth science
Algorithm, code,
simulator
Model, field
Variable
Volume, grid
Metrology
Instrument
Value
Measurand
Sample
Chemistry
Instrument,
analytical process
Analysis
Analyte
Sample
Environmental
monitoring
Gauge, sensor
Value, time-series
Parameter
Station
Observations &
Measurements
procedure
result
observed property
feature of interest
SWE/O&M
Simon Cox - RMIT 2015-08-28
O&M
OM_Observation
+ phenomenonTime
+ resultTime
+ validTime [0..1]
+ resultQuality [0..*]
+ parameter [0..*]
GF_PropertyType
GFI_Feature
OM_Process Any
+observedProperty
1
0..*
+featureOfInterest 1
0..*
+procedure1 +result
An Observation is an action whose result is an estimate of the value
of some property of the feature-of-interest, obtained using a specified procedure
Simon Cox - RMIT 2015-08-28
Cox, OGC Abstract Specification – Topic 20: Observations and Measurements 2.0
ISO 19156:2011 Geographic Information – Observations and measurements
Scope
• In situ observations
• Remote sensing
• Ex-situ observations
• Numerical models/simulations
• Forecasts
Any action whose result is an estimate of a property value
Simon Cox - RMIT 2015-08-28
Specimen
Sampling features
Observation
SamplingFeature
+ Parameter
+ lineage
Feature
0..*
SpatialSamplingFeature
+ positionalAccuracy
+relatedObservation 0..*
SamplingSolidSamplingPoint SamplingCurve SamplingSurface
Intention
+sampledFeature
SamplingFeatureComplex
+ role
0..*
+relatedSamplingFeature
0..*
+relatedObservation
0..*
Profile
Section
Station
Borehole
MapHorizonScene
Mine
Simon Cox - RMIT 2015-08-28
Cox, OGC Abstract Specification – Topic 20: Observations and Measurements 2.0
ISO 19156:2011 Geographic Information – Observations and measurements
GM_Object
+shape
Harmonized with
CSML, NCAR
Integrated into ISO 19100 framework
Simon Cox - RMIT 2015-08-28
ISO dependencies
• gf - Feature ISO 19109
• cv - Coverage (fields) ISO 19123
• md - Metadata ISO 19115
• gm - Geometry ISO 19107
• tm - Temporal ISO 19108
• basic - Datatypes ISO 19103
OGC Sensor Web Enablement
• SensorML
• O&M
• Sensor Observation Service
• Sensor Planning Service
Simon Cox - RMIT 2015-08-28
Observations &
Measurements
procedure
result
observed property
feature of interest
result time
phenomenon time
valid time
procedure
Provider or
consumer?
Simon Cox - RMIT 2015-08-28
OM_Observation
+ phenomenonTime
+ resultTime
+ validTime [0..1]
+ resultQuality [0..*]
+ parameter [0..*]
GFI_PropertyType
GFI_Feature
OM_ProcessGFI_DomainFeature Any
+observedProperty
1
+propertyValueProvider
0..*
+featureOfInterest
1
+generatedObservation
0..*
+procedure1 +result
Range
observed property
Parameter dictionary
procedure
Register of sensors,
processes & algorithms
feature of interest
Feature-type catalogue
Feature service
result format:
GML, SWE,
netCDF, JSON, SQLite
...
Domain specialization
Simon Cox - RMIT 2015-08-28
Applications
Simon Cox - RMIT 2015-08-28
WaterML2 specializes O&M
Simon Cox - RMIT 2015-08-28
«FeatureType»
TimeseriesObservation
OM_Process
«FeatureType»
Procedures::
ObservationProcess
MD_Metadata
«Type»
ObservationMetadata
«FeatureType»
observation::OM_Observation
+ phenomenonTime :TM_Object
+ resultTime :TM_Instant
+ validTime :TM_Period [0..1]
+ resultQuality :DQ_Element [0..*]
+ parameter :NamedValue [0..*]
«FeatureType»
coverageObservation::
OM_DiscreteCoverageObservation
«FeatureType»
Timeseries (TVP) Observation::
TimeseriesTVPObservation
«FeatureType»
TimeseriesDomainRangeObservation
«FeatureTyp...
General Feature
Instance::
GFI_Feature
«metaclass»
General Feature Model::
GF_PropertyType
{root}
+ memberName :LocalName
+ definition :CharacterString
«FeatureType»
Timeseries::Timeseries
+metadata
0..1
+generatedObservation
0..*
+procedure
1
+propertyValueProvider
0..*
Domain
+featureOfInterest
1
0..*
+relatedObservation 0..*
Phenomenon
+observedProperty
1
Range +result
Name:
Package:
Version:
Author:
Context diagram: TimeseriesObservation
«RequirementsClass» Timeseries Observation
1.0
CSIRO
• Result is a time-series
• Observed-property
relates to water
• Key predecessors:
• CUAHSI WaterML
• WDTF
Simon Cox - RMIT 2015-08-28
WaterML-WQ constrains
O&M and WaterML
Simon Cox - RMIT 2015-08-28
«FeatureType»
measurement::
OM_Measurement
AnyFeature
«FeatureType»
observ ation::OM_Observ ation
+ parameter :NamedValue [0..*]
+ phenomenonTime :TM_Object
+ resultQuality :DQ_Element [0..*]
+ resultTime :TM_Instant
+ validTime :TM_Period [0..1]
constraints
{observedProperty shall be a phenomenon associated with the feature of interest}
{procedure shall be suitable for observedProperty}
{result type shall be suitable for observedProperty}
{a parameter.name shall not appear more than once}
Units of Measure::Measure
{root}
+ value :Number
+ convert(UnitOfMeasure*) :Measure
«FeatureType»
General Feature
Instance::GFI_Feature
«metaclass»
General Feature Model::
GF_PropertyType
{root}
«metaclass»
General Feature Model::
GF_FeatureType
«FeatureType»
observation::
OM_Process
Metadata entity set
information::
MD_Metadata
«FeatureType»
cov erageObserv ation::
OM_DiscreteCov erageObserv ation
«FeatureType»
Timeseries Observ ation::
TimeseriesObserv ation
«FeatureType»
Timeseries (TVP) Observ ation::
TimeseriesTVPObserv ation
The XML element om:result SHALL have a uom property
that is an instance of the owl:Class
http://qudt.org/schema/qudt#Unit as defined in
http://resources.data.gov.au/water/def/water-quality/wq-
quantity.
The XML element om:observedProperty SHALL have
an xlink:href property that is an instance of the
http://qudt.org/schema/qudt#Quantity scheme as
defined in
http://resources.data.gov.au/water/def/water-
quality/wq-quantity.
The XML element om:featureOfInterest SHOULD have an xlink:href property that is an instance of
a GroundWaterML 1 GroundWaterBody feature or sub-type of HydrologicUnit feature as specified
in the XML schema at http://ngwd-bdnes.cits.nrcan.gc.ca/service/gwml/schemas/gwml.xsd
OR
The XML element om:featureOfInterest SHOULD have an xlink:href property that is an instance of
an OGC HY_Features HY_HydroFeature or sub-type as specified at "HY_Features: a Common
Hydrologic Feature Model Discussion Paper OGC 11-039r2"
«Type»
Measurement (TVP) Timeseries::
MeasurementTimeseriesTVP
Timeseries
«FeatureType»
Interleav ed (TVP) Timeseries::
TimeseriesTVP
TimeValuePair
«Type»
Measurement (TVP) Timeseries::
MeasureTimeValuePair
+ value :Measure
«FeatureType»
WQ_Measurement::
WQ_Measurement
«FeatureType»
WQ_MeasurementTimeSeriesTVPObserv ation::
WQ_MeasurementTimeSeriesTVPObserv ation
«FeatureType»
WQ_MeasurementTimeseriesTVP::
WQ_MeasurementTimeSeriesTVP
«metaclass»
WQ_Observ ation::
WQ_PropertyType
O&M Classes
WaterML 2 Classes
Water Quality Classes
Legend
+generatedObservation 0..*
ProcessUsed
+procedure
1
Phenomenon
+observedProperty
1
Metadata
+metadata 0..1
+result
Range
+collection
0..*CoverageFunction
+element
0..*
+result
0..*
+relatedObservation 0..*
+propertyValueProvider
0..*
Domain
+featureOfInterest
1
+carrierOfCharacteristics
0..*
+theGF_FeatureType
1
«instanceOf»
• Subject is a groundwater
or geofabric feature
• observed property is
water-quality property
• units of measure must match
Simon Cox - RMIT 2015-08-28Environmental Information Standards | Simon Cox27 |
SamplingFeature
Spatial
SamplingFeature
Specimen
Geometry
SoilSample SoilSpecimen
Domain Feature
Observation
ANZSoilML extends O&M
Sampling Features
SoilThematic
Object
Soil
SoilLandscape
SoilProfile
Element
SoilSurface
Stream
Channels
Climate
Vegetation
LandSurface
Anthropogenic
Activity
SoilFeature
AbstractSoil
Landform
Landscape
Feature
... also GeoSciML
Integration with existing SeaDataNet Standards
Existing Activity
SWE Adoption
Seismic
Simon Cox - RMIT 2015-
08-28
EU Air Quality Directive
INSPIRE – OM
12Z
7-May 9-May8-May6-May5-May
00Z00Z12Z00Z12Z12Z00Z12Z 00Z
result
forecast : OM_Observation
parameter.name = “analysisTime”
parameter.value = 2010-05-06T00:00Z
phenomenonTime.begin = 2010-05-06T00:00Z
phenomenonTime.end = 2010-05-09T12:00Z
resultTime = 2010-05-06T04:30Z
validTime [optional – not specified]
resultQuality [optional – not specified]
ISO19156 Observations and measurements:
also suitable for numerical simulations – including forecasts
Simon Cox - RMIT 2015-08-28
SamplingFeature as OM_Observation.featureOfInterest
In meteorology, we define a sampling regime that enables us to observe,
measure or simulate the real-world. Sampling Features (from ISO 19156
‘Observations and measurements’) provide a way to characterise this sampling
regime and the relationship to the real-world.
:ComplexSamplingMeasurement03839:SF_SamplingPoint
+featureOfInterest
:Point
@srsName “EPSG:4326”
pos = “50.737 -3.405”
+shape
84579:NamedPlace
name = “Exeter Airport” +sampledFeature
Simon Cox - RMIT 2015-08-28
National Environmental
Information Infrastructure
Simon Cox - RMIT 2015-08-28
Metadata
Catalog
Observing
Methods
Register
Monitoring
Sites Register
Vocabulary
Service
Data Service
(observations)
Data Service
(geographies)
Dataset Site Geography Parameter Instrument / Method Service …
… … … … … … …
… … … … … … …
Integration through linking table
Observation
observed
property
feature of
interest
procedure result
sampling
feature
Simon Cox - RMIT 2015-08-28
CUAHSI - ODM2
Procedure
Observed
property
Feature of Interest
result
Observation
OM_Observation
+ phenomenonTime
+ resultTime
+ validTime [0..1]
+ resultQuality [0..*]
+ parameter [0..*]
GF_PropertyType
GFI_Feature
OM_Process Any
+observedProperty
1
0..*
+featureOfInterest
1
0..*
+procedure1 +result
Simon Cox - RMIT 2015-
08-28
- IGSN
- ResourceURI
- Registrant ID
- timeStamp
- status
IGSN Registry
- IGSN
- Registrant
- MetadataTimeStamp
- Title
- Description
- SamplingLocation
- SamplingTime
- Distributor
- Originator
- SpecimenType
- MaterialClass
- SamplingMethod
SESAR Catalog
- IGSN
- SampleEvent
- SamplePhysicalSize
- RelatedResource
- SamplingMethodDetails
- ProcessingHistory
- CurationHistory
- More local detail…
Allocating Agent CatalogISO & OGC O&M
compliant
Simon Cox - RMIT 2015-08-28
Application of O&M
• Direct
• SOS + OMXML
– [Metadata for values from] data services
• Specializations
– WaterML2, WaterML-WQ, SoilML, SeaDataNet, INSPIRE, WMO ...
• Bridging vocabulary for integration
• TERENO (GFZ), NEII, ODM2, IGSN/SESAR, OBOE ...
• Checklist ...
• Slots for implicit  explicit for x-domain use
Simon Cox - RMIT 2015-08-28
Modernizing
Simon Cox - RMIT 2015-08-28
XSD OWL from UML
http://def.seegrid.csiro.au/isotc211/iso19156/2011/observation>
Simon Cox - RMIT 2015-08-28
UML Model
Output in OWL
W3C SSN Ontology <http://purl.oclc.org/NET/ssnx/ssn>
Simon Cox - RMIT 2015-08-28
om-lite <http://def.seegrid.csiro.au/ontology/om/om-lite>
Simon Cox - RMIT 2015-08-28
Sem. Web. Journal – in review
sam-lite <http://def.seegrid.csiro.au/ontology/om/sam-lite>
Simon Cox - RMIT 2015-08-28
Sem. Web. Journal – in review
W3C PROV <http://www.w3.org/ns/prov>
Simon Cox - RMIT 2015-08-28
SSN vs O&M
Term “Observation” is being used for different concepts in SSN cf O&M
Record of observation vs. observation event ?
Prov-O helps clarify, without getting
tangled up in formal ‘Upper Ontologies’
Simon Cox - RMIT 2015-08-28
ssn:Observation
om:Observation
new:ActivityOfSensing
om:Process
ssn:Sensor
om:Result
ssn:SensorOutput
Application of PROV to specimens
Simon Cox - RMIT 2015-08-28
Lessons
Simon Cox - RMIT 2015-08-28
Lessons
• Ontology for observations, models and forecasts
• X-domain interoperability
• Extensible, specialize with vocabularies, link to other ontologies
• Standards
• A generic model can provide a checklist for design, and a basis for
harmonization and incremental design
• Consensus introduces an overhead
• Change
• Common conceptual model supports multiple implementations
• Widely used
Simon Cox - RMIT 2015-08-28
Additional credits
O&M: Fowler & Odell; GeoSciML team; OGC; ISO/TC 211;
Rob Atkinson, Rob Woodcock(CSIRO)
WaterML: CUAHSI; Gavin Walker, Pete Taylor, Laurent Lefort (CSIRO);
Paul Sheahan (BOM)
Soil, WQ: Bruce Simons, Peter Wilson, Jonathan Yu (CSIRO); Alistair Ritchie (Landcare NZ)
SeaDataNet: Jordi Sorribas, Paolo Diviacco
AQD: Michael Lutz, Ale Sarretta (JRC); Kathi Schleidt (Env. Agency Austria)
WMO: Jeremy Tandy (UK Met Office); Aaron Braeckel (UCAR)
NEII: Andrew Woolf, Dom Lowe (BOM)
ODM2: Jeff Horsburgh
IGSN: Kerstin Lehnert (LDEO), Jens Klump (GFZ)
Vocabulary services: Stuart Williams (Epimorphics), Roy Lowry, Adam Leadbetter (BODC)
OWL, PROV: Nick Car, David Ratcliffe, Michael Compton (CSIRO)
Simon Cox - RMIT 2015-08-28
LAND AND WATER
Thank youCSIRO Land and Water
Simon Cox
Research Scientist
t +61 3 9252 6342
e simon.cox@csiro.au
w www.csiro.au/people/simon.cox
Linked vocabularies can be shared and re-used
Simon Cox - RMIT 2015-08-28
Observables vocabulary
Simon Cox - RMIT 2015-08-28
dissolved nitrogen
concentration
nitrogen
elemental nitrogen
(CHEBI_33267)
Concentration
MolePercent
MilliGramsPerLitre
AmountOfSubstancePerUnitVolume
nitrogen concentration
+qudt:generalization
+objectOfInterest
+exactMatch
+qudt:quantityKind
+qudt:quantityKind
+qudt:generalization
+qudt:unit
+qudt:unit
+qudt:generalization
QUDT
WQOP
ChEBI

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A standard for geospatial observations and measurements

  • 1. A standard for geospatial observations and measurements Simon Cox | Research Scientist | Environmental Information Infrastructures 28 August 2015 LAND AND WATER
  • 2. Standards for observation data • Motivation and development • Earth-science and environmental applications • Semantics Simon Cox - RMIT 2015-08-28
  • 3. Origins Simon Cox - RMIT 2015-08-28
  • 4. A bit of history Simon Cox - RMIT 2015-08-28 • 1993-2000 AGCRC • Web-mapping • Reporting research online • 1995
  • 5. A bit of history Simon Cox - RMIT 2015-08-28 • 1993-2000 AGCRC • Web-mapping • Reporting research online • 1999-2004 XMML, ADX • Exploration data standards
  • 6. A bit of history Simon Cox - RMIT 2015-08-28 • 1993-2000 AGCRC • Web-mapping • Reporting research online • 1999-2004 XMML, ADX • Exploration data standards
  • 7. A bit of history Simon Cox - RMIT 2015-08-28 • 1993-2000 AGCRC • Web-mapping • Reporting research online • 1999-2004 XMML, ADX -2010 AuScope • Exploration data standards
  • 8. A bit of history Simon Cox - RMIT 2015-08-28 • 1993-2000 AGCRC • Web-mapping • Reporting research online • 1999-2004 XMML, ADX -2010 AuScope • Exploration data standards • 2002-2005 OGC SWE • Sensors anywhere
  • 9. A bit of history Simon Cox - RMIT 2015-08-28 • 1993-2000 AGCRC • Web-mapping • Reporting research online • 1999-2004 XMML, ADX -2010 AuScope • Exploration data standards • 2002-2005 OGC SWE • Sensors anywhere • 2005-2013 Fluid Earth • Water informatics
  • 10. A bit of history Simon Cox - RMIT 2015-08-28 • 1993-2000 AGCRC • Web-mapping • Reporting research online • 1999-2004 XMML, ADX -2010 AuScope • Exploration data standards • 2002-2005 OGC SWE • Sensors anywhere • 2005-2013 WIRADA • Water informatics
  • 11. Motivation for a standard All of society’s grand challenges require data to be shared and integrated across cultures, scales and technologies Simon Cox - RMIT 2015-08-28
  • 12. Motivation for a standard • Integrated analysis and modelling • Discovery & data integration a significant challenge • Standard vocabulary Many private contracts one public agreement! Simon Cox - RMIT 2015-08-28 Remote sensing Sensor Value Parameter Scene Earth science Algorithm, code, simulator Model, field Variable Volume, grid Metrology Instrument Value Measurand Sample Chemistry Instrument, analytical process Analysis Analyte Sample Environmental monitoring Gauge, sensor Value, time-series Parameter Station Observations & Measurements procedure result observed property feature of interest
  • 13. SWE/O&M Simon Cox - RMIT 2015-08-28
  • 14. O&M OM_Observation + phenomenonTime + resultTime + validTime [0..1] + resultQuality [0..*] + parameter [0..*] GF_PropertyType GFI_Feature OM_Process Any +observedProperty 1 0..* +featureOfInterest 1 0..* +procedure1 +result An Observation is an action whose result is an estimate of the value of some property of the feature-of-interest, obtained using a specified procedure Simon Cox - RMIT 2015-08-28 Cox, OGC Abstract Specification – Topic 20: Observations and Measurements 2.0 ISO 19156:2011 Geographic Information – Observations and measurements
  • 15. Scope • In situ observations • Remote sensing • Ex-situ observations • Numerical models/simulations • Forecasts Any action whose result is an estimate of a property value Simon Cox - RMIT 2015-08-28
  • 16. Specimen Sampling features Observation SamplingFeature + Parameter + lineage Feature 0..* SpatialSamplingFeature + positionalAccuracy +relatedObservation 0..* SamplingSolidSamplingPoint SamplingCurve SamplingSurface Intention +sampledFeature SamplingFeatureComplex + role 0..* +relatedSamplingFeature 0..* +relatedObservation 0..* Profile Section Station Borehole MapHorizonScene Mine Simon Cox - RMIT 2015-08-28 Cox, OGC Abstract Specification – Topic 20: Observations and Measurements 2.0 ISO 19156:2011 Geographic Information – Observations and measurements GM_Object +shape Harmonized with CSML, NCAR
  • 17. Integrated into ISO 19100 framework Simon Cox - RMIT 2015-08-28 ISO dependencies • gf - Feature ISO 19109 • cv - Coverage (fields) ISO 19123 • md - Metadata ISO 19115 • gm - Geometry ISO 19107 • tm - Temporal ISO 19108 • basic - Datatypes ISO 19103
  • 18. OGC Sensor Web Enablement • SensorML • O&M • Sensor Observation Service • Sensor Planning Service Simon Cox - RMIT 2015-08-28
  • 19. Observations & Measurements procedure result observed property feature of interest result time phenomenon time valid time procedure Provider or consumer? Simon Cox - RMIT 2015-08-28
  • 20. OM_Observation + phenomenonTime + resultTime + validTime [0..1] + resultQuality [0..*] + parameter [0..*] GFI_PropertyType GFI_Feature OM_ProcessGFI_DomainFeature Any +observedProperty 1 +propertyValueProvider 0..* +featureOfInterest 1 +generatedObservation 0..* +procedure1 +result Range observed property Parameter dictionary procedure Register of sensors, processes & algorithms feature of interest Feature-type catalogue Feature service result format: GML, SWE, netCDF, JSON, SQLite ... Domain specialization Simon Cox - RMIT 2015-08-28
  • 21. Applications Simon Cox - RMIT 2015-08-28
  • 22. WaterML2 specializes O&M Simon Cox - RMIT 2015-08-28 «FeatureType» TimeseriesObservation OM_Process «FeatureType» Procedures:: ObservationProcess MD_Metadata «Type» ObservationMetadata «FeatureType» observation::OM_Observation + phenomenonTime :TM_Object + resultTime :TM_Instant + validTime :TM_Period [0..1] + resultQuality :DQ_Element [0..*] + parameter :NamedValue [0..*] «FeatureType» coverageObservation:: OM_DiscreteCoverageObservation «FeatureType» Timeseries (TVP) Observation:: TimeseriesTVPObservation «FeatureType» TimeseriesDomainRangeObservation «FeatureTyp... General Feature Instance:: GFI_Feature «metaclass» General Feature Model:: GF_PropertyType {root} + memberName :LocalName + definition :CharacterString «FeatureType» Timeseries::Timeseries +metadata 0..1 +generatedObservation 0..* +procedure 1 +propertyValueProvider 0..* Domain +featureOfInterest 1 0..* +relatedObservation 0..* Phenomenon +observedProperty 1 Range +result Name: Package: Version: Author: Context diagram: TimeseriesObservation «RequirementsClass» Timeseries Observation 1.0 CSIRO • Result is a time-series • Observed-property relates to water • Key predecessors: • CUAHSI WaterML • WDTF
  • 23. Simon Cox - RMIT 2015-08-28
  • 24. WaterML-WQ constrains O&M and WaterML Simon Cox - RMIT 2015-08-28 «FeatureType» measurement:: OM_Measurement AnyFeature «FeatureType» observ ation::OM_Observ ation + parameter :NamedValue [0..*] + phenomenonTime :TM_Object + resultQuality :DQ_Element [0..*] + resultTime :TM_Instant + validTime :TM_Period [0..1] constraints {observedProperty shall be a phenomenon associated with the feature of interest} {procedure shall be suitable for observedProperty} {result type shall be suitable for observedProperty} {a parameter.name shall not appear more than once} Units of Measure::Measure {root} + value :Number + convert(UnitOfMeasure*) :Measure «FeatureType» General Feature Instance::GFI_Feature «metaclass» General Feature Model:: GF_PropertyType {root} «metaclass» General Feature Model:: GF_FeatureType «FeatureType» observation:: OM_Process Metadata entity set information:: MD_Metadata «FeatureType» cov erageObserv ation:: OM_DiscreteCov erageObserv ation «FeatureType» Timeseries Observ ation:: TimeseriesObserv ation «FeatureType» Timeseries (TVP) Observ ation:: TimeseriesTVPObserv ation The XML element om:result SHALL have a uom property that is an instance of the owl:Class http://qudt.org/schema/qudt#Unit as defined in http://resources.data.gov.au/water/def/water-quality/wq- quantity. The XML element om:observedProperty SHALL have an xlink:href property that is an instance of the http://qudt.org/schema/qudt#Quantity scheme as defined in http://resources.data.gov.au/water/def/water- quality/wq-quantity. The XML element om:featureOfInterest SHOULD have an xlink:href property that is an instance of a GroundWaterML 1 GroundWaterBody feature or sub-type of HydrologicUnit feature as specified in the XML schema at http://ngwd-bdnes.cits.nrcan.gc.ca/service/gwml/schemas/gwml.xsd OR The XML element om:featureOfInterest SHOULD have an xlink:href property that is an instance of an OGC HY_Features HY_HydroFeature or sub-type as specified at "HY_Features: a Common Hydrologic Feature Model Discussion Paper OGC 11-039r2" «Type» Measurement (TVP) Timeseries:: MeasurementTimeseriesTVP Timeseries «FeatureType» Interleav ed (TVP) Timeseries:: TimeseriesTVP TimeValuePair «Type» Measurement (TVP) Timeseries:: MeasureTimeValuePair + value :Measure «FeatureType» WQ_Measurement:: WQ_Measurement «FeatureType» WQ_MeasurementTimeSeriesTVPObserv ation:: WQ_MeasurementTimeSeriesTVPObserv ation «FeatureType» WQ_MeasurementTimeseriesTVP:: WQ_MeasurementTimeSeriesTVP «metaclass» WQ_Observ ation:: WQ_PropertyType O&M Classes WaterML 2 Classes Water Quality Classes Legend +generatedObservation 0..* ProcessUsed +procedure 1 Phenomenon +observedProperty 1 Metadata +metadata 0..1 +result Range +collection 0..*CoverageFunction +element 0..* +result 0..* +relatedObservation 0..* +propertyValueProvider 0..* Domain +featureOfInterest 1 +carrierOfCharacteristics 0..* +theGF_FeatureType 1 «instanceOf» • Subject is a groundwater or geofabric feature • observed property is water-quality property • units of measure must match
  • 25. Simon Cox - RMIT 2015-08-28Environmental Information Standards | Simon Cox27 | SamplingFeature Spatial SamplingFeature Specimen Geometry SoilSample SoilSpecimen Domain Feature Observation ANZSoilML extends O&M Sampling Features SoilThematic Object Soil SoilLandscape SoilProfile Element SoilSurface Stream Channels Climate Vegetation LandSurface Anthropogenic Activity SoilFeature AbstractSoil Landform Landscape Feature ... also GeoSciML
  • 26. Integration with existing SeaDataNet Standards Existing Activity SWE Adoption Seismic Simon Cox - RMIT 2015- 08-28
  • 27. EU Air Quality Directive
  • 29. 12Z 7-May 9-May8-May6-May5-May 00Z00Z12Z00Z12Z12Z00Z12Z 00Z result forecast : OM_Observation parameter.name = “analysisTime” parameter.value = 2010-05-06T00:00Z phenomenonTime.begin = 2010-05-06T00:00Z phenomenonTime.end = 2010-05-09T12:00Z resultTime = 2010-05-06T04:30Z validTime [optional – not specified] resultQuality [optional – not specified] ISO19156 Observations and measurements: also suitable for numerical simulations – including forecasts Simon Cox - RMIT 2015-08-28
  • 30. SamplingFeature as OM_Observation.featureOfInterest In meteorology, we define a sampling regime that enables us to observe, measure or simulate the real-world. Sampling Features (from ISO 19156 ‘Observations and measurements’) provide a way to characterise this sampling regime and the relationship to the real-world. :ComplexSamplingMeasurement03839:SF_SamplingPoint +featureOfInterest :Point @srsName “EPSG:4326” pos = “50.737 -3.405” +shape 84579:NamedPlace name = “Exeter Airport” +sampledFeature Simon Cox - RMIT 2015-08-28
  • 32. Metadata Catalog Observing Methods Register Monitoring Sites Register Vocabulary Service Data Service (observations) Data Service (geographies) Dataset Site Geography Parameter Instrument / Method Service … … … … … … … … … … … … … … … Integration through linking table Observation observed property feature of interest procedure result sampling feature Simon Cox - RMIT 2015-08-28
  • 33. CUAHSI - ODM2 Procedure Observed property Feature of Interest result Observation OM_Observation + phenomenonTime + resultTime + validTime [0..1] + resultQuality [0..*] + parameter [0..*] GF_PropertyType GFI_Feature OM_Process Any +observedProperty 1 0..* +featureOfInterest 1 0..* +procedure1 +result Simon Cox - RMIT 2015- 08-28
  • 34. - IGSN - ResourceURI - Registrant ID - timeStamp - status IGSN Registry - IGSN - Registrant - MetadataTimeStamp - Title - Description - SamplingLocation - SamplingTime - Distributor - Originator - SpecimenType - MaterialClass - SamplingMethod SESAR Catalog - IGSN - SampleEvent - SamplePhysicalSize - RelatedResource - SamplingMethodDetails - ProcessingHistory - CurationHistory - More local detail… Allocating Agent CatalogISO & OGC O&M compliant Simon Cox - RMIT 2015-08-28
  • 35. Application of O&M • Direct • SOS + OMXML – [Metadata for values from] data services • Specializations – WaterML2, WaterML-WQ, SoilML, SeaDataNet, INSPIRE, WMO ... • Bridging vocabulary for integration • TERENO (GFZ), NEII, ODM2, IGSN/SESAR, OBOE ... • Checklist ... • Slots for implicit  explicit for x-domain use Simon Cox - RMIT 2015-08-28
  • 36. Modernizing Simon Cox - RMIT 2015-08-28
  • 37. XSD OWL from UML http://def.seegrid.csiro.au/isotc211/iso19156/2011/observation> Simon Cox - RMIT 2015-08-28 UML Model Output in OWL
  • 38. W3C SSN Ontology <http://purl.oclc.org/NET/ssnx/ssn> Simon Cox - RMIT 2015-08-28
  • 39. om-lite <http://def.seegrid.csiro.au/ontology/om/om-lite> Simon Cox - RMIT 2015-08-28 Sem. Web. Journal – in review
  • 40. sam-lite <http://def.seegrid.csiro.au/ontology/om/sam-lite> Simon Cox - RMIT 2015-08-28 Sem. Web. Journal – in review
  • 42. SSN vs O&M Term “Observation” is being used for different concepts in SSN cf O&M Record of observation vs. observation event ? Prov-O helps clarify, without getting tangled up in formal ‘Upper Ontologies’ Simon Cox - RMIT 2015-08-28 ssn:Observation om:Observation new:ActivityOfSensing om:Process ssn:Sensor om:Result ssn:SensorOutput
  • 43. Application of PROV to specimens Simon Cox - RMIT 2015-08-28
  • 44. Lessons Simon Cox - RMIT 2015-08-28
  • 45. Lessons • Ontology for observations, models and forecasts • X-domain interoperability • Extensible, specialize with vocabularies, link to other ontologies • Standards • A generic model can provide a checklist for design, and a basis for harmonization and incremental design • Consensus introduces an overhead • Change • Common conceptual model supports multiple implementations • Widely used Simon Cox - RMIT 2015-08-28
  • 46. Additional credits O&M: Fowler & Odell; GeoSciML team; OGC; ISO/TC 211; Rob Atkinson, Rob Woodcock(CSIRO) WaterML: CUAHSI; Gavin Walker, Pete Taylor, Laurent Lefort (CSIRO); Paul Sheahan (BOM) Soil, WQ: Bruce Simons, Peter Wilson, Jonathan Yu (CSIRO); Alistair Ritchie (Landcare NZ) SeaDataNet: Jordi Sorribas, Paolo Diviacco AQD: Michael Lutz, Ale Sarretta (JRC); Kathi Schleidt (Env. Agency Austria) WMO: Jeremy Tandy (UK Met Office); Aaron Braeckel (UCAR) NEII: Andrew Woolf, Dom Lowe (BOM) ODM2: Jeff Horsburgh IGSN: Kerstin Lehnert (LDEO), Jens Klump (GFZ) Vocabulary services: Stuart Williams (Epimorphics), Roy Lowry, Adam Leadbetter (BODC) OWL, PROV: Nick Car, David Ratcliffe, Michael Compton (CSIRO) Simon Cox - RMIT 2015-08-28
  • 47. LAND AND WATER Thank youCSIRO Land and Water Simon Cox Research Scientist t +61 3 9252 6342 e simon.cox@csiro.au w www.csiro.au/people/simon.cox
  • 48. Linked vocabularies can be shared and re-used Simon Cox - RMIT 2015-08-28
  • 49. Observables vocabulary Simon Cox - RMIT 2015-08-28 dissolved nitrogen concentration nitrogen elemental nitrogen (CHEBI_33267) Concentration MolePercent MilliGramsPerLitre AmountOfSubstancePerUnitVolume nitrogen concentration +qudt:generalization +objectOfInterest +exactMatch +qudt:quantityKind +qudt:quantityKind +qudt:generalization +qudt:unit +qudt:unit +qudt:generalization QUDT WQOP ChEBI