Vector Data Processing Method for the Third National Land Survey Based on ArcGIS Model Builder
Due to the large scale of vector data in the third national land survey and the low efficiency of traditional manual methods in processing land survey data,an ArcGIS model builder based vector data processing method for the third national land survey is proposed.The ARCGIS model builder is used to build the linear surface feature model of the third national land survey,extract the terrain vector patches,and code the vector patches based on the principle of data layering,as the only identification of the spot attribute information.The grid pixel standardization algorithm is used to maximize the retention of the terrain spot attribute content,and realize the batch Rasterisation processing of the third national land survey vector data.The example results show that the average processing time for monthly data using this method is only 9.08 minutes,indicating a high processing efficiency.
ArcGIS model builderthe third national land surveyvector dataprocessing method
国家科技期刊平台
NSTL
万方数据
