Identification of Landslide Region Based on Topographic and Change Information

The accurate and rapid identification of landslide region is the basis for emergency disaster processing and analysis. The identification methods based on change information among multi-temporal remote optical sensing images are simple and intuitive. But its performance is remarkably limited by issues, such as unable to distinguish the changes according to the causes, improper processing strategy for impact of the adjacent pixels and the low efficiency. Thus, an approach based on digital elevation model and change information is presented in this paper. At first, the potential landslide region is calculated through slope information. And then the change information constrained by aspect information is used to identify and extract the final landslide regions. The experiment results show that, this approach can effectively distinguish the change information caused by city construction or landscaping planning. The extracted landslide regions are greatly consistent with interpretations. Meanwhile, it is effectively satisfy the demands for emergency disaster processing.