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

Abstract

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 each category to obtain a large-range landslide deformation prediction result. According to the method, effective prediction of large-range landslide deformation can be realized, and the defects of small prediction range, high cost and the like in the prior art are overcome.

Description

technical field [0001] The invention relates to the field of geological disaster prediction, in particular to a large-scale landslide deformation prediction method based on InSAR inversion and multiple influencing factors. Background technique [0002] Landslide is a complex geological evolution process triggered by the joint action of internal and external factors such as geological structure and rainfall. Frequent and widely distributed landslides and their chain disasters have seriously affected the construction and operation of regional water energy resources development, new urbanization construction, and railway and highway traffic arteries. As an effective means to realize landslide disaster prediction, landslide deformation prediction is one of the basic tasks of landslide disaster prevention and control. Related theories and methods have also been developed and applied rapidly in recent years. [0003] The invention patent with the publication number CN112270400A t...

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Problems solved by technology

[0005] In view of this, the purpose of the present invention is to overcome the defects in the prior art and provide a large-scale landslide deformation prediction method based on InSAR inversion and multiple influencing factors, which can realize effective prediction of large-scale landslide deformation and solve the problems of the prior art. There are shortcomings such as small prediction range and high cost

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