Quantifying DEM Uncertainty and its Effect on Topographic Parameters
Quantifying DEM Uncertainty and its Effect on Topographic Parameters
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DOI：
10.14358/pers.72.9.1081
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发表时间：
2006-09
影响因子：
1.3
通讯作者：
S. Wechsler;C. Kroll
中科院分区：
文献类型：
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作者：
S. Wechsler;C. Kroll
数字高程模型（DEM）是地形的表示，具有构成不确定性的固有误差。DEM数据通常用于分析，而不量化这些误差的影响。本文介绍了一种蒙特卡罗方法的不确定性对高程和导出的地形参数的影响进行评估。四种方法表示DEM的不确定性，利用元数据和空间特征的DEM。七个统计数据来自模拟结果被用来量化DEM误差的影响。当不确定性量化的平均相对绝对差，海拔没有偏离。四种方法的偏差范围为坡度的5%至8%，衍生集水区的460%至950%，地形指数的4%至9%。本研究展示了如何应用这种方法可以解决DEM的不确定性，有助于更负责任地使用高程和派生的地形参数，并最终从他们的使用获得的结果。
Digital elevation models (DEMs) are representations of topography with inherent errors that constitute uncertainty. DEM data are often used in analyses without quantifying the effects of these errors. This paper describes a Monte Carlo methodology for evaluation of the effects of uncertainty on elevation and derived topographic parameters. Four methods for representing DEM uncertainty that utilize metadata and spatial characteristics of a DEM are presented. Seven statistics derived from simulation results were used to quantify the effect of DEM error. When uncertainty was quantified by the average relative absolute difference, elevation did not deviate. The range of deviation across the four methods for slope was 5 to 8 percent, 460 to 950 percent for derived catchment areas and 4 to 9 percent for the topographic index. This research demonstrates how application of this methodology can address DEM uncertainty, contributing to more responsible use of elevation and derived topographic parameters, and ultimately results obtained from their use.