Study On The Examination Method And Procedure For Data Quality In Numerical Cadastral Surveying

With the development of the national economy, cadastral survey technology involved more and more fields,date is very much. Field equipments are frequently changed,improved and perfect. Customers demand the quality of the product highly and increasingly. All that is the quality of the cadastral survey is expected more highly. Their operation-styles are generally made up of field date collected, inner data dealt with and operation separated which input data in the computer. People are not the same. Data which is easily cause repeated work and to be divorced. The quality of cadastral survey is seriously influenced.In the second national survey of land-used, the focus and difficulty as urban cadastral survey, cadastral survey having links, in order to prevent dislocation and guarantee the quality of each link, we must build a dedicated Quality Controlled System to carry on quality inspection.Against the status quo, on the basis of careful study and analysis in the current domestic cadastral technology, the article deals with cadastral measure integration. Field survey deals with a method for checking on the quality. Inner survey chooses the best by comparing different software platform. In the meantime people develop some more applicable inspection procedures and data bath processing methods to minimize human operation intervention. The article deals with a quality controlled system to ensure the quality of every stage, thereby people assure the overall quality. Practice has proved that the method can greatly improve work efficiency, ensure product quality, and guarantee production quality on survey.Through an application in the County of JiShan ,the system can identify and handle the important data quality problem automatically, lowering the important data quality trouble occurrence consumedly all a rate, in the meantime that method raises a work efficiency consumedly, the biggest degree reduces an artificial intervention, promising the data output's accuracy, raising a data a management automation level.Have certain reference value towards surveying and map the production,the data check and the quality feedback.