After the occurrence of significant natural disaster, the resulting damaged roads interrupt the rapid emergency response for disaster, and therefore, the disaster relief department is desperate for the destruction condition of roads in the devastated region, which can help make relief decisions and deploy rescue actions. In view of the practical needs of the disaster relief department and the objective fact that at present there is not any special, high automatic damage detection system of roads, we develop Road Damage Detection and Evaluation System (RODDES). Using the basic road data in GIS (Geographical information system) as the prior knowledge, the system extracts the pre-disaster and post-disaster roads from post-disaster remotely sensed imageries, and then detects the damaged regions and evaluates the destruction condition. This paper emphasizes the overall design of the system and the submodule design and their functions. The system is applied in detecting and evaluating the damaged roads in Wenchuan County, China and the experiment results show that nearly all producer’s and user’s accuracies of the road extractions and damage detections are above 75%, and it accurately evaluates the destruction condition of roads.