The interdisciplinary research performed by the Geomatics@UWB focuses on both applied and basic research.
Applied Research
The research group provides applied and interdisciplinary research in different thematic areas. The disciplines include geography, astronomy, geophysics, informatics, cybernetics and mathematics. The key thematic areas include:
- spatial and urban planning and smart cities,
- transport planning including smart mobility,
- agriculture and precision/autonomous farming,
- tourism and cultural heritage including historical maps,
- environmental protection, disaster management and climate change.
The research group has an extensive experience from past and ongoing projects, mainly from the FP7 and H2020 programmes. Geomatics@UWB has got vast experience in the following specialisms:
- spatial data modelling including 3D,
- spatial data processing including big data,
- spatial data harmonisation and integration (vast experience with INSPIRE, ISO, OGC and W3C standards),
- SDI building following the INSPIRE, Copernicus and GEOSS/EuroGEOSS initiatives,
- spatial data analysis and visualisations (cartographic design and online publication),
- management of information about buildings and civil engineering works, including building information modelling (BIM),
- open geographic data value chain.
Basic Research
The basic research is predominantly in the area of geophysical modelling, in particular Earth’s gravity field modelling. The study of the external Earth’s gravity field is one of the key pillars of modern geodesy. Knowledge of the Earth’s gravity field plays an important role in geosciences, e.g. in the study of the structure and dynamics of lithosphere, interpretation of tectonics, changes in sea levels and ocean currents, variations of hydrological conditions in larger streams, melting of icebergs in polar areas and implementation of position-reference systems.
The current priorities of the research team are as follows:
- Development of mathematical apparatus for gravity field modelling
- Utilisation of terrestrial, aerial and satellite data to model gravity field
- Alternative options of gravity field mapping