Remote sensing is the major technique to study planetary environment in order to decipher the structure and evolution of solar system bodies. For a decade, spacecrafts have acquired high-resolution spectra, high-resolution images, hyperspectral images, and multi-angular hyperspectral images. The treatment of raw data to produce high level science results but also the visualization of the large amount of data require innovative tools. Here I review some aspects of data science projects in planetary science, focusing on multi-angular hyperspectral imaging (~500 wavelength), digital terrain model using stereoscopic techniques on high resolution images (~0.5m/pixel), and data visualization.
Frédéric Schmidt (GEOPS / UPSud)