The invention discloses a
landslide risk prediction method based on a
landslide disaster assessment model, and belongs to the technical field of
image processing. The method comprises the following steps: firstly, extracting a
remote sensing image of a to-be-monitored area, obtaining a channel
earth surface matching value and a channel soil matching value, and constructing R, G and
B channel soil
earth surface comparison maps; obtaining a plurality of adjacent moment comparison diagrams, obtaining
soil surface characteristic values according to the change of the
soil surface comparison value, and constructing a characteristic diagram; then constructing a cumulative
landslide weight matrix according to the landslide weight coefficients of the suspected variable pixel points, and constructing a cumulative
soil surface feature map according to the soil surface feature values; and finally,
processing the accumulated landslide weight matrix and the accumulated soil surface feature map corresponding to the three channels by adopting a landslide
disaster assessment model to obtain a landslide risk
score. The accuracy of landslide risk prediction is improved.