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首页> 中文期刊> 《成都信息工程学院学报》 >集成多源数据的飞机增雨地理要素提取

集成多源数据的飞机增雨地理要素提取

         
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为提取出飞机增雨关注的地理要素,利用ArcGIS Python脚本处理多源的地理信息数据.针对中国基础地理系统数据库提供的矢量数据,通过检索数据属性表和裁剪等操作筛选出行政区划、城市驻地;针对人工编辑的空域作业分区面元素,利用拓扑验证保证空间几何关系的正确性,设计了一个运行模型得到分区边界点;针对DEM高程栅格,使用镶嵌功能把77个原始栅格拼接为四川省的高程栅格分布,使用分区统计、栅格计算等方法得到分区海拔最高点.提取出的地理要素整合为飞机增雨空域图,并应用在增雨方案设计中,实践证明符合空域管制要求,能满足飞机增雨业务需要.%In order to extract the aircraft precipitation enhancement geographic element,multiple source data were processed by ArcGIS Python.Aircraft precipitation geographic element was extracted and integrated.For the national basic geographic data,vector element was filtered by data retrieval and Clip-analysis.For airspace partition surface element from manual editing,the topology validation was used to ensure the correctness of the spatial geometric relationships.Moreover,an operating model was designed to dissolve the overlap boundary points.For DEM,the 77 original raster was mosaiced to a complete elevation distribution in Sichuan province,partition highest points were calculated by using the zonal statistics and raster calculator.The element was integrated to the airspace chart,and it is applied in the scheme design.The practice has proved that it meets the requirements of airspace control and aircraft precipitation enhancement business.

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