The HYPSO-1 mission is collecting hyperspectral data across the world. We want to develop a pipeline to generate common satellite data products from the downlinked HYPSO-1 data, so that the data can be further used to answer scientific questions. 

The HYPSO-1 cubesat was launched in January 2022, and is now in-orbit gathering lots of hyperspectral data. Hyperspectral datacubes are downlinked to the ground station, and conversion from raw data to common satellite data products, such as top-of-atmosphere radiance, ocean surface reflectance etc., is an important step as it makes the data available for the scientists to use.  

The task for this project is to build a pipeline which automatically generates the desired data product based on the incoming data and satellite metadata. The steps in the pipeline includes radiometric calibration and image correction, geo-referencing, atmospheric correction amongst others. The pipeline will also be tested, and should calculate the uncertainties related the final data products. 

For more information or questions, contact Joe Garrett (joseph.garrett@ntnu.no) or Marie Bøe Henriksen (marie.b.henriksen@ntnu.no)