Utilize the Remote Sensing Image to Establish the Digital Model of Geographical Information

When the natural disaster occurs, it usually leads the change of the terrain, landscape and civil engineering structures. The complete description of the change of the land covers is helpful to the execution and promotion of the disaster rescue. Remote sensing uses the aerial platform carrying image sensors to acquire the remote sensing images from the region that the human can not reach in time. The major advantage of the remote sensing technology is that the environmental information can be obtained ready without contacting with the targets. This advantage lets the remote sensing technology provide a feasible and efficient way to investigate and identify the change of the land covers in the disaster area. In this study, we use the remote sensing technology for image interpretation and the land cover type identification. A mathematical method was developed to adjust the oblique photographs from the aerial photographs to the vertical ones. Then the supervised classification is utilized to identify the land cover types. The results show that our mathematical method provides a feasible approach to adjust the oblique photographs to the vertical ones. The total accuracy of the classification accuracy in the summer is more than 70 percentages, but less than 50 percentages in the winter. The aerial photography is demonstrated to be feasible for the identification of the land cover types in this study. Keywords:Remote sensing image, oblique photograph, vertical photograph, supervised classification.