Based on the author's analysis and research, the experience is very important in the remote sensing application domain, which is difficult for a beginner to grasp comprehensively within a short time. The knowledge base system technology is a good way to manage associated knowledge. All corresponding knowledge was grouped into the knowledge about remote sensing data, GIS data, object class, the interrelation among entities with different class, interpretation experience and data fusion to build an effective remote sensing application knowledge base. The paper analyzed their characters, discussed knowledge representing way and proposed a knowledge base framework. Knowledge acquisition is the key part of KB and knowledge acquiring ways for different knowledge were discussed in detail. Application is the final goal of knowledge base through inferring to get it. And five application goals for inferring were summarized. Base on the framework and knowledge expressing way, author designed four inferring ways: relation inferring of entities, positive inferring, conversing inferring and project application inferring. Based on the above, the authors designed remote sensing application teaching and training system. A series of application practices show that it can manage effectively the corresponding experience knowledge of remote sensing application, assist user in accumulating experience knowledge and doing some teaching and training as well as certain corresponding practical work. However, the frame work didn't include radiation and physics knowledge.