The Application of Multi-variable Optimum Regression Analysis to Remote Sensing Imageries in Monitoring Landslide Disaster

Monitoring and evaluating natural disasters are one of important applying fields of remote sensing. In this paper, the authors monitor dynamically the change and move laws of landslide making use of high-revolution remote sensing imageries; they construct the multi-variable regression relation, and put forward to applying the optimum regression method based on multi-variable regression analysis in landslide disaster monitoring. It is proved that the good results are obtained.