The successful launching of two satellites, the assurance of the continuity of the program by the involved federal governments and the availability of its data without costs in the web made the China-Brazil Earth Resources Satellite (CBERS-2) an excellent option for optical and medium spatial resolution remote sensing users in several applications. In this study, the CBERS-2 multispectral and multitemporal data from Federal District (FD) of Brazil were processed to analyze their potential to discriminate representative land cover classes. We analyzed 101 samples over representative areas of natural vegetation (grasslands, shrublands and woodlands) and land use (urban areas, reforestations and croplands). Results from this research showed the potential of CBERS-2 data to discriminate land cover classes of FD and a possible limitation to monitor their seasonal variations due to the persistent cloud cover in most of the images acquired in 2005.
CBERS-2; remote sensing; seasonality; Brazilian savanna; land cover
