Mount Etna is considered as one of the world’s most active volcanoes located In Europe. In this study, we propose to characterize and model physically the geohazard area recently caused by the active Etna volcano. An advanced image processing method is presented, in which the scene is acquired simultaneously by two high-resolution remote sensors NOAA and SUOMI NFP. The proposed experimental protocol for data visualization and analysis is as follows. First, the images are processed with the same spectral reflectance using VIIRS I-bands at 375 m spatial resolution. More in details, the spectral signatures of pixels confirm the environmental changes according to a color visualization coding. In this context, the volcano clouds widespread over Etna mount are estimated approximately through a signal processing measurement algorithm. Second, the images are acquired by two high-resolution sensors, which are the NOAA and SUOMI NFP in the visible Spectrum wavelength. The synchronization of both sensors gives more details about the area occupied by the volcano fires. A spectral wavelength analysis is presented in both cases: (1) non-synchronized (i.e., each sensor separately) and (2) synchronized (i.e., combination of two sensors). Third, the protocol of active fire detection applied to the geohazard Etna Volcano is displayed: fire area detection and estimation, spectral measurement, synchronization of remote sensors, and assessment of the fire spread. Finally, the strengths and limitations of satellite-based active fire detection are presented with respect to the synchronization of different sensors. A theoretical and experimental studies will be presented.