ACIX-III Aqua: evaluation of atmospheric correction for hyperspectral PRISMA imagery over inland and coastal waters
Giardino, C.; Pahlevan, N.; Fabbretto, A.; Panizza, L.; Pellegrino, A.; Vandermeulen, R.; Gianinetto, M.; Adriaensen, S.; Agten, J.; Bernert, H.; De Keukelaere, L.; Harmel, T.; Heege, T.; KNUDBY, A.; Schenk, K.; Steinmetz, F.; Sterckx, S.; Vanhellemont, Q.; Wu, Y.; Braga, F.; Brando, V.E.; Bresciani, M.; Dogliotti, A.; Kratzer, S.; Odermatt, D.; Scarpa, G.M.; Schroeder, T.; Werther, M.; Lopinto, E.; Alonso, K.; Cremer, N.; Doxani, G.; Gascon, F. (2025). ACIX-III Aqua: evaluation of atmospheric correction for hyperspectral PRISMA imagery over inland and coastal waters. Int. J. Remote Sens. 46(23): 9066-9090. https://dx.doi.org/10.1080/01431161.2025.2574517
In: International Journal of Remote Sensing. Taylor & Francis: London. ISSN 0143-1161; e-ISSN 1366-5901, more
|  |
| Author keywords |
Spaceborne imaging spectroscopy;cal/val;in situ measurements;remote sensing reflectance;atmopsheric correction;leaving reflectance;validation;algorithm;model;tool |
| Authors | | Top |
- Giardino, C.
- Pahlevan, N.
- Fabbretto, A.
- Panizza, L.
- Pellegrino, A.
- Vandermeulen, R.
- Gianinetto, M.
- Adriaensen, S.
- Agten, J.
- Bernert, H.
- De Keukelaere, L., more
|
- Harmel, T.
- Heege, T.
- KNUDBY, A.
- Schenk, K.
- Steinmetz, F.
- Sterckx, S.
- Vanhellemont, Q., more
- Wu, Y.
- Braga, F.
- Brando, V.E., more
- Bresciani, M.
|
- Dogliotti, A.
- Kratzer, S.
- Odermatt, D.
- Scarpa, G.M.
- Schroeder, T.
- Werther, M.
- Lopinto, E.
- Alonso, K.
- Cremer, N.
- Doxani, G.
- Gascon, F.
|
| Abstract |
This study reports the outcomes of the third Atmospheric Correction Intercomparison Exercise (ACIX-III Aqua), which evaluated the performance of atmospheric correction (AC) methods for hyperspectral PRISMA satellite data over inland and coastal waters. The exercise included five AC processors (ACOLITE, hGRS, iCOR, MIP, and POLYMER), the standard PRISMA Level 2C product, and an adjacency correction tool (T-Mart) tested with ACOLITE. A total of 239 cloud-free PRISMA scenes from 2019 to 2024 were compared with in situ data of remote sensing reflectance, gathered from both hyperspectral and multispectral radiometers across eight distinct optical water types (OWTs). The accuracy of each AC method varied with spectral band, but all showed largest and lowest discrepancies with in situ data at 443 nm and 560 nm, respectively. All AC methods showed the best agreement with in situ data in greenish waters (OWT 4b) and highest uncertainties were yielded in humic-rich waters (OWT 7). Consistently with the previous ACIX-Aqua study focused on multispectral data, no single AC method outperformed the others across all OWTs. The study confirmed the ongoing challenges of AC over optically complex waters, yet the exercise allowed the community to advance in developing AC methods for hyperspectral satellite images and supporting the development of future operational hyperspectral missions, such as PRISMA Second Generation (PRISMA 2G) and CHIME. |
|
