Landslide early warning system and method based on remote sensing big data

The invention discloses a landslide early warning system and method based on remote sensing big data, and particularly relates to the technical field of disaster early warning, the operation state of a synthetic aperture radar is evaluated by investigating a plurality of key parameters of a synthetic aperture radar system, including SAR beam stability information, pulse power information and image generation performance information; a synthetic aperture radar operation early warning evaluation coefficient is calculated through normalization processing of the wave width variation value, the radar pulse similarity evaluation value and the radar image generation efficiency value, and the synthetic aperture radar operation early warning evaluation coefficient can quantitatively judge the operation condition of the synthetic aperture radar; the operation early-warning evaluation coefficient of the synthetic aperture radar is set, the operation early-warning signal is generated when the operation early-warning eval