Pipeline
Section · Pipeline
Processing pipelines by data source
This section documents key methodological blocks, including radiative transfer configurations, trait retrieval strategies, and disease scoring approaches.
UAV–airborne processing
UAV & airborne processing
Radiometric and geometric correction of UAV and airborne hyperspectral and thermal data, including mosaicking, BRDF normalisation, and co-registration with field plots. Output products include surface reflectance cubes, temperature maps, and quality masks.
Satellite
Satellite EO processing
Sentinel-2, PRISMA, and EnMAP workflows (e.g. Sen2Cor atmospheric correction, spectral resampling, tiling, and time-series aggregation), harmonised across sites for crop–stressor analysis and EO upscaling.
RTM–ML
RTM library & hybrid ML
PROSAIL and SCOPE forward simulations via ToolsRTM and SCOPEinR, LUT generation, plant trait retrieval, and hybrid ML models trained on combined RTM–EO features for crop stress detection.
© 2026 HYDRA-EO.
HYDRA-EO is funded by the European Space Agency (ESA) under the EXPRO+ Tender “Crop Multiple Stressors, Pests and Diseases”. Action 1-12684.
