OntoClass

The project deals with ontology-based approaches for the derivation of nature conservation relevant areas on the basis of different spatial data in the federal state of Rhineland-Palatinate. Currently, methods are being developed and implemented in Rhineland-Palatinate that make optimal use of the state's geodata via remote sensing approaches and combine them with the possibilities of satellite remote sensing in order to optimize the recording of areas relevant to nature conservation in the context of biotope mapping. The goal here is the remote sensing-based generation of area-wide, high-resolution land cover data within the framework of an INSPIRE-compliant object-oriented data model.

The content of the project is the exploration of operationally applicable professional and technical possibilities for the automated further development of land cover data with regard to biotope and habitat types of relevant nature conservation data. As a component within the scope of an intended automated collection and updating of nature conservation data in Rhineland-Palatinate, the EUNIS biotope types and FFH habitat types relevant for the federal state of Rhineland-Palatinate are derived from remotely sensed land cover objects.