QUALITY INSPECTION OF REMOTE SENSING FARMLAND RESOURCE MONITORING DATA ACHIEVEMENTS

Abstract

The article proposes a quality inspection process for the monitoring data of remote sensing arable farmland resources, including an overall review, detailed inspection, and sample external review. The necessary parameters for analysis are determined, and the detection methods for different inspection items are differentiated. Some inspection items that can be automatically checked by the program are distinguished, and a rule library is established to achieve batch automatic inspection of some inspection items. Then, the implementation methods for the remaining quality inspection items are studied, the common problems are identified, and the human-machine interaction inspection of the quality inspection items is improved. Finally, the monitoring data results of arable farmland resources in 161 counties were tested, and the results showed that the proposed technical route is feasible, and the quality evaluation result is objective.