Decades of space missions to different planetary bodies of our solar system have offered many insights into their formation and geological evolution. In particular, the analyses of spectral and hyperspectral images of planetary surfaces provide important information on their composition, allowing us to reconstruct and understand a wide range of past and present surface processes, as well as the geology and environmental history. To infer surface compositional information of different rocky bodies, specific spectral parameters are defined and mapped, such as reflectance, slope and band's spectral descriptors (band depths, band areas, full width half maximum).

Furthermore, applications of advanced tools which take better advantage of the hyperspectral information, like clustering, classification, and machine learning-based automatic detection systems are steadily increasing. In this session, we encourage contributions on spectral/hyperspectral imaging analysis of planetary surfaces, ranging from traditional methods to advanced, cutting-edge approaches, using both remotely sensed and laboratory data.

Our aim is to stimulate a discussion on diverse investigation approaches, reflecting the rapid advancement in data analysis capabilities today.