OGC Membership approves Common Query Language (CQL2) as an official OGC Standard
CQL2 is a filter grammar supporting both text and JSON encodings that can be easily integrated into software applications.
MUDDI
Overview
MUDDI stands for “Model for Underground Data Definition and Integration” and is an approach to make sub-surface data Findable, Accessible, Interoperable, and Re-Usable. The MUDDI Standard defines classes that support the integration of datasets from different types of information about the underground space, using different information models. These information models include models about elements such as utility infrastructure, transport infrastructure, soils, ground water, or environmental parameters.
MUDDI provides a comprehensive set of concepts that represent relevant features in the sub-surface. The conceptual model defined in the Standard consists of a core of mandatory classes describing built infrastructure networks (such as utility networks) together with a number of optional feature classes, properties, and relationships related to the natural and built underground environment.
The Standard is meant to provide a sufficient level of detail to address application use cases, including but not limited to the following:
- Routine street excavations;
- Emergency response;
- Utility maintenance programs;
- Large scale construction projects;
- Disaster planning;
- Disaster response; and
- Smart Cities programs.
The case for better subsurface data and an explanation of the usefulness of the MUDDI data model is made in this “MUDDI For Everyone” Guide.
Downloads
| Document title | Version | OGC Doc No. | Type |
|---|---|---|---|
| OGC Model for Underground Data Definition and Integration (MUDDI) Part 1: Conceptual Model | 1.0 | 23-024 | IS |
Official model files and encoding schemas
Official Schemas
https://schemas.opengis.net/muddi/
Note: You may also download All Official OGC Schemas in a single zip file.
Submit a Change Request, Requirement, or Comment for this OGC standard.
Related links
The case for better subsurface data and an explanation of the usefulness of the MUDDI data model is made in this “MUDDI For Everyone” Guide.
OGC Standards
- 3D Tiles
- 3dP
- ARML2.0
- Cat: ebRIM App Profile: Earth Observation Products
- Catalogue Service
- CDB
- CityGML
- CityJSON
- COG
- Coordinate Transformation
- CoverageJSON
- CQL2
- EO-GeoJSON
- Filter Encoding
- GGXF
- GML in JPEG 2000
- GeoAPI
- GeoPackage
- GeoPose
- GeoSciML
- GeoSPARQL
- Geography Markup Language
- GeoRSS
- GeoXACML
- Geospatial User Feedback (GUF)
- GeoTiff
- GroundwaterML
- HDF5
- I3S
- Indoor Mapping Data Format (IMDF)
- IndoorGML
- KML
- LandInfra/InfraGML
- LAS
- Location Services (OpenLS)
- Moving Features
- MUDDI
- NetCDF
- Observations, Measurements, and Samples
- OGC API – EDR
- OGC API – Common
- OGC API – Features
- OGC API – Maps
- OGC API – Processes
- OGC API – Tiles
- Open GeoSMS
- OpenMI
- OpenSearch
- Ordering Services Framework for Earth Observation Products
- OWS Context
- OWS Security
- PipelineML
- PubSub
- PUCK
- SWE Common Data Model
- SWE Service Model
- Sensor Model Language
- Sensor Observation Service
- Sensor Planning Service
- SensorThings
- Semantic Sensor Network (SSN)
- STAplus
- Symbology Core
- Simple Features
- Simple Features CORBA
- Simple Features OLE/COM
- Simple Features SQL
- Styled Layer Descriptor
- Symbology Encoding
- Table Joining Service
- Time Ontology in OWL
- TimeseriesML (tsml)
- TrainingDML for AI
- Two Dimensional Tile Matrix Set
- WaterML
- Web Coverage Processing Service
- Web Coverage Service
- Web Feature Service
- Web Map Context
- Web Map Service
- Web Map Tile Service
- Web Processing Service
- Web Service Common
- WKT CRS
