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Within the framework of this project methods are being tested and implemented a) to introduce remote sensing based approachesinto the existing process of biotope mapping and b) to develop a framework serving the multiple requirements arising from differentusers’ backgrounds and thus the need for comprehensive data interoperability. Therefore state-wide high resolution land covervector-data have been generated in an automated object oriented workflow based on aerial imagery and a normalised digital surfacemodels.These data have been enriched by an extensive characterisation of the individual objects by e.g. site specific, contextual orspectral parameters utilising multitemporal satellite images, DEM-derivatives and multiple relevant geo-data. Parameters are testedon relevance in regard to the classification process using different data mining approaches and have been used to formalisecategories of the European nature information system (EUNIS) in a semantic framework. The Classification will be realised byontology-based reasoning. Dissemination and storage of data is developed fully INSPIRE-compatible and facilitated via a webportal. Main objectives of the project are a) maximum exploitation of existing “standard” data provided by state authorities, b)combination of these data with satellite imagery (Copernicus), c) create land cover objects and achieve data interoperability throughlow number of classes but comprehensive characterisation and d) implement algorithms and methods suitable for automatedprocessing on large scales

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

New Methods in Acquisition, Update and Dissemination of Nature Conservation Geodata - Implementation of an Integrated Framework