Selecting and Developing Vocabularies and Ontologies for field data collected with small Unmanned Aircraft Systems
In brief, sUAS (or more colloqually 'drones') are rapidly transforming many industries and particularly changing how researchers are able to capture environmental data. However, while many components can be borrowed from analogous sectors (manned aircraft, under water gliders, wireless sensor networks, satelites) there are many factors that mean sUAS data needs its own best data management practices. A crucial step towards developing such is selecting and developing appropriate ontologies and information models for such. This repository is a communual development environment for this key component in the broader effort to pursue sUAS best data management practices.
For other efforts on other issues in this domain see the:
- Research Data Alliance sUAS Data IG
- OGC UxS working group
- USGS sUAS data management plan
- Earth Science Information Partners Drone Cluster
- OPTIMISE BUS (practices for spectral sUAS sensors only)