文章基本信息

标题：OPTIMUM SPATIAL RESOLUTION OF DIGITAL ELEVATION MODEL FOR TOPOGRAPHICAL ANALYSIS
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作者：Masataka Takagi ; Hiroshi Asano ; Yuki Kikuchi 等
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2002
卷号：XXXIV Part 4
出版社：Copernicus Publications
摘要：An influence of spatial resolution for topographic analysis using DEM is evaluated. In classification of landform, number of category and spatial resolution was compared. And the possibility of 50m grid DEM for topographic feature extraction was mentioned. Moreover, very high resolution DEM was prepared using photogrammetry and laser range finder. The accuracy of DEM was intended to generate 1m in spatial resolution. Finally, required spatial resolution of DEM was discussed using auto-correlation. In landform classification, the results showed number of category must set depending on spatial resolution. In case of 400m grid DEM, number of category should be less than 3 to 6. In case of 50m grid DEM, number of category should be less than 6 to 8. The optimum number of category for landform classification was existence depending on spatial resolution. Therefore, very high spatial resolution was required for detail analysis. Nowadays, 50m grid DEM is very popular and published by many institutes. We must recognise limitation of analysis by using 50m grid DEM. In this study, 1m grid DEM was generated. Digital photogrammetry was used in mountainous area and laser range finder was used in glass land. An auto-correlation function of generated DEM was calculated. The results showed 8m spatial resolution was required to keep 0.9 of auto-correlation coefficient in mountainous area, 16m spatial resolution was required in case of hill area. In the present situation, meaning of auto-correlation coefficient in DEM is not understood clearly. However the auto-correlation coefficient would make one kind of index for complexity of landform
关键词：Digital Elevation Model; Spatial Resolution; Accuracy; Landform Classification