A tool and methodological framework for spaceborne hyperspectral validation activities
The advent of hyperspectral missions such as DESIS, EMIT, PRISMA and EnMAP increases the need for robust calibration and validation frameworks. While Pseudo Invariant Calibration Sites support vicarious calibration, validation of L1 and L2 products requires Fiducial Reference Measurements over real, diverse landscapes. ESA’s HYPERNETS initiative addresses this by deploying continuous, automated spectroradiometric measurements across multiple sites. Agricultural targets pose major challenges due to strong seasonal dynamics, non-Lambertian behavior, and viewing geometry effects, further complicated by off-nadir acquisitions. To analyze such targets, two crop seasons of HYPSTAR®-XR multi-angular (up to 1680 nm) and corresponding satellite data were collected at the JSIT agricultural site, and a dedicated tool was developed to enable constrained match-ups and analyses, supporting improved validation practices for hyperspectral reflectance products in complex target.
Emanuele Spirito @ CNR-IREA (author)
Gabriele Candiani @ CNR-IREA for HYPSTAR data handling, sharing source matlab plot code, laying the foundations of the project
Lorenzo Parigi @ CNR-IREA for resampling code
Mirco Boschetti @ CNR-IREA for advisory
Vittorio Brando @ CNR-ISMAR for cooperation
Monica Pepe @ CNR-IREA for coordinating the project, scientific supervisioning and organization
https://doi.org/10.5194/isprs-archives-XLVIII-M-12-2026-97-2026