The OPAS project supports the efforts of the consortium of Swiss universities (ARES) in implementing FAIR principles when acquiring and sharing the remote-sensing data from the AVIRIS-4 sensor, a state-of-the-art airborne imaging spectrometer (AIS) built by NASA-JPL and operated from Switzerland.

More specifically, the project achieved:

1. Extend a formerly developed tool for manual labelling (MALAHYD), with automatic tie point detection and matching in push-broom AIS data using an existing method.
2. Implement statistical models to enable correct incorporation of automatic, and possibly “noisy,” tie-points for both: i) geometric rectification and ii) quality assessment of AVIRIS-4 data via EPFL’s open online platform, ODyN (https://odyn.epfl.ch/app_direct/odyn/).
3. Establish an online processing portal (service) to make the proposed automatic tie point detection algorithm accessible to the ARES consortium and broader research community in improving quality assurance and quality control.