Slope risk assessment method based on Bayesian hierarchical space-time model

The invention discloses a slope risk evaluation method based on a Bayesian hierarchical spatial-temporal model, which comprises the following steps: establishing a regional geological FEM model in time and space dimensions based on remote sensing data by using the Bayesian hierarchical spatial-temporal model, and analyzing spatial-temporal distribution and dynamic change characteristics of the model in real time; and the environmental change of the region is comprehensively and thoroughly analyzed, and the geological disaster risk of the region is evaluated. The method mainly aims at time and space change trends of geological disasters such as landslide, a multi-level Bayesian space-time model part is added in a traditional evaluation model, a space-time algorithm model composed of factors high in geological disaster correlation is constructed and embedded into a multi-level Bayesian hierarchical space-time model, an existing geological disaster system is fused, and the geological disaster evaluation model is