摘要
地理国情监测是测绘地理信息行业工作的拓展和重要的发展方向,城市化发展监测是地理国情监测的一项重要内容,DMSP/OLS夜间灯光数据为城市化发展信息的获取提供了新的数据源。本文以DMSP/OLS夜间灯光数据为数据源,结合四川城市发展特征,提出将四川省城市分为超级城市、工矿城市、地级市和县级市四类,分别提取出其城市空间信息,通过与统计数据对比发现,总体误差为1.84%,与实际吻合,说明该方法合理可行。
Monitoring geographical conditions is an expansion and important direction of development of mapping and geographic information industry,urbanization development monitoring is an important part of geographical conditions monitoring,and night-time light(DMSP/OLS)data provides a new data resource for getting the information about urbanization.Combined with the characteristics of urban development in Sichuan,the paper proposed the idea that the city of Sichuan Province is divided into super city,industrial and mining city,prefecture-level city and county-level city,and derived urban information from night-time light(DMSP/OLS)data.By comparison with the statistical data,we found that the overall error is 1.84%which is consistent with the actual,the result means that the method is reasonable and feasible.
作者
曹伟超
李建勇
张雪梅
CAO Weichao;LI Jianyong;ZHANG Xuemei(The Third Surveying and Mapping Engineering Institute of Sichuan Province,Chengdu 610500,China)
出处
《测绘与空间地理信息》
2020年第10期60-62,67,共4页
Geomatics & Spatial Information Technology
基金
四川省科技厅2018年科技计划项目(2018SZ0314)资助。
