地理国情普查数据的空间尺度转换研究  

Spatial scaling transformation of data from National Geographical Census

作　　者：陶舒[1] 周旭[1] 程滔[1] 刘倩[1] 

机构地区：[1]国家基础地理信息中心,北京100830

出　　处：《测绘科学》2015年第11期89-95,共7页Science of Surveying and Mapping

摘　　要：为了实现地理国情普查中不同尺度地表覆盖分类数据的交叉验证,文章选择郑州、西安等10个地理国情普查试点作为试验区,分析了不同地类在精度损失、景观格局等方面存在的尺度效应,并以林地为例,在空间分辨率6~2 000m的范围内,构建了空间尺度转换模型,估测精度可达92.63%。结果表明：地表覆盖分类数据进行尺度转换时,各种地类都会存在相应的精度损失;基于分辨率、景观格局指数构建的尺度转换模型,可以有效校正粗分辨率地表覆盖数据的尺度误差,为地理国情普查与监测中的质量控制提供参考。In order to realize the cross-validation of different scale of land cover classification in the National Geographical Census,10 test sites were selected in the paper,including Zhengzhou and Xi＇an.The spatial multi-scale characteristics of different land cover types on landscape metrics and accuracy loses were analyzed,and taking the forest class as example,the spatial scaling transformation model was constructed within the spatial resolution range of 6~2 000 m,which had the estimate precision of 92.63%.Result showed that the precision loss would occur once the spatial scale of land cover data is changed,and the spatial model established by the resolution and landscape metrics could effectively correct the error caused by changing spatial scales,which would provide a reference for the quality control for the National Geographical Census and Monitoring.

关 键 词：地理国情普查 尺度转换 精度损失 景观格局 

分 类 号：P208[天文地球—地图制图学与地理信息工程]