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
Read moreMethodology for identification and designation of ecological corridors in the ENI Carpathians
Read moreSupport the implementation of the CLC+ Backbone
Read moreA harmonized land cover data model for Europe
Read moreDevelopment of the Austrian Land Information System
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