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Effect of Contour Intervals and Grid Cell Size on the Accuracy of DEMs and Slope Derivatives

机译:等高线间隔和网格单元大小对DEM和坡度导数精度的影响

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摘要

Digital Elevation Models (DEMs) are indispensable tools in many environmental and natural resource applications. DEMs are frequently derived from contour lines. The accuracy of such DEMs depends on different factors. This research investigates the effect of sampling density used to derive contours, vertical interval between contours (spacing), grid cell size of the DEM (resolution), terrain complexity, and spatial filtering on the accuracy of the DEM and the slope derivative. The study indicated different alternatives to achieve an acceptable accuracy depending on the contour interval, the DEM resolution and the complexity of the terrain. The effect of these factors on the accuracy of the DEM and the slope derivative was quantified using models that determine the level of accuracy (RMSE). The implementation of the models will guide users to select the best combination to improve the results in areas with similar topography. For areas with variable terrain complexity, the suggestion is to generate DEMs and slope at a suitable resolution for each terrain separately and then to merge the results to produce one final layer for the whole area. This will provide accurate estimates of elevation and slope, and subsequently improve the analyses that rely on these digital derivatives.
机译:数字高程模型(DEM)是许多环境和自然资源应用中必不可少的工具。 DEM通常来自轮廓线。这种DEM的准确性取决于不同的因素。这项研究调查了用于得出轮廓的采样密度,轮廓之间的垂直间隔(间距),DEM的网格像元大小(分辨率),地形复杂性以及空间滤波对DEM和斜率导数的准确性的影响。研究表明,根据等高线间隔,DEM分辨率和地形的复杂性,可以采用不同的方法来达到可接受的精度。这些因素对确定DEM和斜率导数的精度的影响使用确定精度水平(RMSE)的模型进行了量化。模型的实施将指导用户选择最佳组合,以改善地形相似的地区的结果。对于具有复杂地形复杂性的区域,建议分别针对每个地形以合适的分辨率生成DEM和坡度,然后合并结果以生成整个区域的最后一层。这将提供高程和斜率的准确估计,并随后改进依赖于这些数字导数的分析。

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