The HYPSO-1 mission is collecting hyperspectral data across the world. We want to develop a toolbox building on existing frameworks to process the collected data efficiently. This work preferably builds on FOSS projects such as QGIS[1] and SNAP[2,3]. Thus a familiarity with or a desire to learn more about python and good programming practices can be helpful.

This research includes determining data analysis procedures that can be useful to oceanographers. During the project thesis, the student should familiarize oneself with hyperspectral data and related meta-data needed for processing. Furthermore, the student should learn more about the data collection required to calibrate and characterize hyperspectral image sensors from space. As a starting point, the IOCCG reports are recommended as a starting point[4].

For more information or a short discussion, contact sivert.bakken@ntnu.no

1. https://www.qgis.org/en/site/
2. https://step.esa.int/main/download/snap-download/
3. https://towardsdatascience.com/getting-started-with-snap-toolbox-in-python-89e33594fa04
4. https://ioccg.org/what-we-do/ioccg-publications/ioccg-reports/