The true value of geospatial data lies in its interpretation, and this is where our modelling approach begins. By combining remote sensing, statistics, and machine learning, we develop models that reveal spatial patterns and complex interrelationships. In this way, diverse datasets are transformed into clear insights that provide research, administration, and practice with a reliable basis for decision making.
Reference system
The reference system is a GIS based system for managing and maintaining agricultural reference areas. It serves as a central basis for identifying, locating, and delineating agriculturally used areas, as well as for calculating area based agricultural subsidies.
Methodology for identification and designation of ecological corridors in the ENI Carpathians
Based on previous initiatives on connectivity for wildlife in the Carpathians, the OBWIC project (Open Borders for Wildlife In the Carpathians) developed a methodology for identification and designation of ecological corridors of trans frontier interest in the ENI Carpathians (Hungary, Slovakia, Romania, Ukraine). The project area covered approximately 4 million ha. Umbrella species used for connectivity model are brown bear, Eurasian lynx, grey wolf and golden jackal.
Support the implementation of the CLC+ Backbone
CLC+ (the 2nd generation CORINE Land Cover - CLC) Backbone has been conceived as a new high spatial resolution vector product. It represents a baseline object delineation with the emphasis on geometric rather than thematic detail.
A harmonized land cover data model for Europe
EAGLE workgroup contract to implement a harmonized land cover data model for Europe (UML modelling and database implementation).
Development of the Austrian Land Information System
The overall aim of the Land Information System Austria is to provide current and detailed geospatial information of the status and development of land cover and land use in Austria to public authorities and the private sector.