Overview - ISO/TS 19130-3:2022 (Imagery sensor models for geopositioning - Implementation schema)
ISO/TS 19130-3:2022 defines an XML Schema implementation for imagery sensor geopositioning models described in ISO 19130-1 and ISO/TS 19130-2. Rather than creating a new XML encoding from the UML models, this Technical Specification leverages the existing OGC SensorML and SWE Common Data Model by providing a semantic mapping from ISO 19130 model elements to SensorML and then specifying the required schema inheritance and extensions. The result is a SensorML-based XML encoding that enables syntactic and semantic interoperability for imagery sensor models used in geopositioning.
Key topics and technical requirements
- XML Schema implementation: Formal XML Schema (XSD) definitions (namespace smi) that encode imagery sensor geopositioning models.
- Semantic mapping to SensorML: Detailed mapping rules that relate ISO 19130-1 and ISO/TS 19130-2 UML elements to OGC SensorML constructs.
- Schema inheritance and extension: Use of XML Schema inheritance/extensions based on SensorML to represent sensor-specific metadata and processing components.
- Namespaces and encoding conventions: Prescribed XML namespaces and encoding patterns to ensure consistent instance documents.
- Conformance and testing: Conformance criteria follow ISO 19105; an Abstract Test Suite is provided (Annex A) to validate XML implementations.
- Supporting resources: Annex B lists XML resources and Annex C provides implementation examples to guide developers.
- Coverage of sensor classes: Supports encoding needs for frame, whiskbroom, pushbroom, SAR, InSAR, LiDAR and SONAR related metadata as defined in ISO 19130-1/2.
Applications and who uses it
ISO/TS 19130-3 is aimed at organizations and professionals who need standardized, interoperable encodings for imagery geopositioning:
- Remote sensing and geospatial data producers and vendors - to publish consistent geolocation metadata.
- GIS and photogrammetry software developers - to implement generalized geopositioning, aerial triangulation and georeferencing routines.
- Data integrators and archives - to catalogue and exchange imagery with reliable sensor models.
- Sensor manufacturers and systems integrators - to describe sensor processing chains and geolocation behavior in SensorML.
- National mapping agencies and commercial imagery consumers - to enable multi-source data fusion and downstream geospatial analytics.
Related standards
This specification enables robust XML encodings for imagery sensor geopositioning, improving interoperability across SensorML-enabled sensor webs and ISO 19130-compliant workflows.