16 October 2009 Determination of suitable cell size for grid based digital elevation model
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Proceedings Volume 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining; 74924U (2009) https://doi.org/10.1117/12.838600
Event: International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, 2009, Wuhan, China
Abstract
Horizontal resolution, one of dominant variables for grid based Digital Elevation Model (DEM), directly determines topographic expression, the accuracy of terrain parameters and geosciences simulations based on DEM. Cell size is determined on relationship between resolution and terrain parameters traditionally, without taking terrain variance information content of the raw data into account. This paper puts forward two methods for suitable DEM horizontal resolution by mining the input contour data based on geostatistics. One is a direct method considering internal and external variance. Regularization variables of serial resolutions are calculated from the sampled data by regularization theory in geostatistics. After the variance comparison between point and serial resolutions, the grid at which the external variance between adjacent grids is larger than average internal variance in grid is named suitable resolution. The other method, which combines macro-topographical variance with micro-topographical variance, is an indirect way. Various large-scale supports and their regularization variables are made by dividing the sampled data using regularization theory. In order to ascertain an optimal support size to express macroscopic spatial variance of terrain, semivariograms of regularization variables are analyzed on various support sizes. Estimation of the optimal bin size that can estimate the probability density function in non-parametric density estimation is referred to decide the microcosmic appropriate resolution in the optimal support. Both methods were experimented in practice, and gave relatively consistent results. The latter was commended considering the computational efficiency.
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Xuejun Liu, Xuejun Liu, Yanfang Wang, Yanfang Wang, Bei Jin, Bei Jin, } "Determination of suitable cell size for grid based digital elevation model", Proc. SPIE 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining, 74924U (16 October 2009); doi: 10.1117/12.838600; https://doi.org/10.1117/12.838600
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