Hyperspectral Earth Observation imagers look back at Earth’s surface in a far broader range of colours than the human eye: hundreds of wavelengths per individual pixel, acquired at a much greater spatial as well as spectral resolution than instruments of old. By dividing up the light they receive into hundreds of very narrow, adjacent wavelengths to reveal ‘spectral signatures’ of particular features, crops or materials, providing valuable data for fields such as mineralogy, agricultural forecasting and environmental monitoring. The images produced by such instruments form a three-dimensional (3D) cube – called a 'data cube'– composed of stacked images of the same scene seen at adjacent wavelengths. This dimensions of this data cube are therefore built up from the satellite satellite cross-track, along-track, and wavelength range.