Large-range landslide deformation prediction method based on InSAR inversion and multiple impact factors

The invention discloses a large-range landslide deformation prediction method based on InSAR inversion and multiple impact factors, and the method comprises the steps: carrying out the InSAR inversion processing of SAR image data, and obtaining time sequence deformation data; clustering the time sequence deformation data to obtain a plurality of categories of time sequence deformation data; decomposing the time sequence deformation data of each category into a periodic term deformation sequence and a trend term deformation sequence; determining influence factors significantly related to periodic term deformation; respectively establishing an LSTM (Long Short Term Memory) model of each type of time sequence deformation data to predict each type of deformation; and adding the periodic term deformation prediction value and the trend term deformation prediction value of each category to obtain a deformation quantity prediction result of each category, and merging the deformation quantity prediction results of eac