Dr. Dávid Abriha
- Land use and land cover (LULC) change detection using remote sensing data.
- Machine Learning and Deep Learning-based image processing for Earth observation.
- Cloud-based remote sensing data analysis (e.g. Google Earth Engine)
- Development of automated remote sensing workflows and processing pipelines.
- Multi-sensor data fusion and integration (combined analysis of aerial photography and satellite imagery).
- Time-series analysis in remote sensing (monitoring vegetation dynamics, surface water, urban expansion, etc.).
- The role of Python in modern remote sensing data science and geospatial automation.
Dr. Boglárka Bertalan-Balázs
- Change detection (LULC) based on remote sensing data
- Time series analysis of water surfaces using spectral indices
- Comparative analysis of surface and terrain models based on morphometric parameters
- Mapping of forest fires using remote sensing methods
Last update:
2026. 02. 12. 10:11