首页> 外文会议>International Symposium on Spatial Data Quality '2005; 20050825-26; Beijing(CN) >The Impact of Surface Complexity on Derived Topographic Properties from a Grid-based Digital Elevation Model
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The Impact of Surface Complexity on Derived Topographic Properties from a Grid-based Digital Elevation Model

机译:表面复杂度对基于网格的数字高程模型得出的地形特性的影响

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This paper studies the relationship between terrain complexity and derived topographic properties from grid-based digital elevation models (DEM). The impact of terrain complexity represented by terrain steepness and orientation on derived parameters such as slope and aspects has been analysed. Experiments have also been conducted to quantify the errors created by digital terrain analysis algorithms. The test results show that (a) the RMSE of derived slope and aspect is negatively correlated with slope steepness; (b) the RMSE of derived aspect is more sensitive to terrain complexity than that of derived slope; and (c) the errors in derived slope and aspect tend to be found in flatter area, and decrease with increasing terrain complexity. The study shows that although primary surface parameters can be well defined mathematically, the implementation of those mathematical models in a GIS environment may generate considerable errors related to terrain complexity. In general, when terrain is rugged with steep slopes, the error of derived parameters is quite minimal. While in a flatter area, the derived parameters, particularly the aspect, may contain considerable amount of errors, causing significant limitation in applying the analytical results.
机译:本文研究了基于网格的数字高程模型(DEM)的地形复杂性与派生的地形特性之间的关系。已经分析了以地形陡度和方向表示的地形复杂性对派生参数(例如坡度和坡向)的影响。还进行了实验以量化由数字地形分析算法产生的误差。测试结果表明:(a)导出坡度和坡向的RMSE与坡度呈负相关; (b)相较于坡度,坡向的RMSE对地形复杂性更为敏感; (c)推导的坡度和坡度的误差往往在较平坦的区域内发现,并随着地形复杂性的增加而减小。研究表明,尽管可以用数学方法很好地定义主要表面参数,但是在GIS环境中实施这些数学模型可能会产生与地形复杂性有关的相当大的误差。通常,当地形崎with不平时,派生参数的误差会很小。在较平坦的区域中,导出的参数(尤其是方面)可能包含大量的错误,从而在应用分析结果时造成了很大的限制。

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