Spatio-temporal analysis in semantic Earth Observation data cubes
Earth Observation (EO) data cubes provide a powerful framework for organizing and analyzing large-scale geospatial data across space and time. Semantic EO data cubes enable additional data access and analysis methods for spatio-temporal analysis, supporting a variety of downstream tasks such as environmental monitoring and decision-making. This webinar will explore recent advances, methods, and applications of semantic Earth Observation data cubes
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- Z_GIS meeting room
- Department of Geoinformatics Z_GIS
- Salzburg, Salzburg
- Austria 5020
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Speakers
Martin of University of Salzburg
Spatio-temporal analysis in semantic Earth Observation data cubes
Spatio-temporal analysis in semantic Earth Observation data cubes.
Earth Observation (EO) data cubes provide a powerful framework for organizing and analyzing large-scale geospatial data across space and time. Semantic EO data cubes enable additional data access and analysis methods for spatio-temporal analysis, supporting a variety of downstream tasks such as environmental monitoring and decision-making. This webinar will explore recent advances, methods, and applications of semantic Earth Observation data cubes.
Biography:
Dr Martin Sudmanns is assistant professor at the University of Salzburg’s Department of Geoinformatics – Z_GIS and Co-Head of the EO Analytics research team. His main research deals with big Earth data management and analytics in the context of land use/land cover and sustainability, spatio-temporal data and information analytics, semantic analysis.
Email:
Address:Department of Geoinformatics Z_GIS, Schillerstraße 30, , Salzburg, Salzburg, Austria, 5020