Use of CHRIS PROBA images for land use products

The small hyperspectral imager CHRIS is the principal instrument for the remote sensing on board of the ESA Proba-1 satellite. The platform can tilt itself in the orbit allowing the acquisition of images with different angle over the same area and during the same overpass. In this work we report on the potentialities of such instrument in producing land cover maps. The images that we are using have been acquired over the test site of Frascati and Tor Vergata University campus, located in the surroundings of Rome, Italy, which is characterized by a mixing of several topologies of vegetated areas with residential and commercial buildings. The neural network approach has been used for the decision task. The results of the classification have been evaluated both by the visual interpretation and quantitative assessment. This latter demonstrated an accuracy of more than the 90%.