基于Model Builder的地理国情监测样本数据检查

Sample Data Inspection of Geographical National Condition Monitoring Based on Model Builder

地理国情监测是自然资源调查监测体系的重要组成部分之一,已经进入常态化开展阶段。遥感影像解译出的样本是地理国情监测中的一项重要成果,其数据质量也是需要关注的重要内容之一。论文基于ArcGIS的模型构建器Model Builder搭建多个模型,用于地理国情监测的遥感影像解译样本数据检查工作,节约了作业时间,提高了效率。同时该思路和工具在同类数据处理工作中有一定的推广作用。

Geographical condition monitoring is an important part of the natural resource investigation and monitoring system,and has entered the stage of normalization.Remote sensing interpretation sample is an important achievement in geographical national condition monitoring,and its data quality is also an important content that needs to be paid attention to.In this paper,multiple models are built based on model builder for sample data inspection of geographical national condition monitoring,which saves operation time and improves efficiency.The idea and tool can be popularized in similar data processing work.