Modeling the Uncertainty of Slope and Aspect Estimates Derived from Spatial Databases
Modeling the Uncertainty of Slope and Aspect Estimates Derived from Spatial Databases
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DOI：
10.1111/j.1538-4632.1997.tb00944.x
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发表时间：
2010-09
影响因子：
3.6
通讯作者：
G. Hunter;M. Goodchild
中科院分区：
文献类型：
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作者：
G. Hunter;M. Goodchild
坡度和坡向的估计通常是根据数字高程模型 (DEM) 进行的，并且受到此类模型中存在的不确定性的影响。我们表明，坡度和坡向误差取决于 DEM 误差的空间结构。我们提出了一种 DEM 误差的通用模型，其中将空间自回归随机场添加为高程的干扰项。此外，我们提出了通过 GIS 操作传播此类错误的通用程序。在缺乏有关 DEM 误差空间结构的明确信息的情况下，我们证明了最坏情况分析的潜在效用。使用一系列模拟来对坡度和坡向误差的性质和严重性进行一般观察。
Estimates of slope and aspect are commonly made from digital elevation models (DEMs), and are subject to the uncertainty present in such models. We show that errors in slope and aspect depend on the spatial structure of DEM errors. We propose a general-purpose model of DEM errors in which a spatially auto-regressive random field is added as a disturbance term to elevations. In addition, we propose a general procedure for propagating such errors through GIS operations. In the absence of explicit information on the spatial structure of DEM errors, we demonstrate the potential utility of a worst-case analysis. A series of simulations are used to make general observations about the nature and severity of slope and aspect errors.