Advanced methods for (imaging) spectroscopy
- Spectral and radiometric sensor calibration, atmospheric and geometric correction procedures, uncertainty quantification, product validation
- Data analysis approaches such as machine learning and big data mining, data fusion and software toolboxes
- Radiative transfer models, retrieval schemes and data assimilation techniques
- Lab/field spectroscopy and spectral libraries
Imaging spectroscopy application in Earth sciences
- Upscaling and downscaling of imaging spectroscopy data in modelling the Earth spheres
- Imaging spectroscopy for the assessment of ecosystem processes in a range of environments and application fields including arable lands and forests, soils, geology, snow & ice, inland & coastal waters, urban areas
- Imaging spectroscopy for observing natural and man-made hazards and supporting societal challenges such as climate change mitigation and adaptation, food security, water availability, and biodiversity conservation
Imaging spectroscopy sensors, platforms and missions
- Ground/tower, multi-angular, drone, air and space-borne spectroscopy platforms
- Synergies and collaboration among missions
- Emerging sensor concepts and future spectroscopy satellite missions