An Assessment Of The Impact Of Dem Interpolation Technique, Resolution, And Terrain Type On The Extraction Of Drainage Network

A. J, Zubairu Mohammad
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Abstract

This research used points extracted from high-resolution DEMs (1m) to investigate the impact of resolution, interpolation method and topography on the accuracy of drainage network extraction. The investigation was conducted by evaluating the accuracy of the estimations of streams length, streams number, drainage density, and the Longitudinal Root Mean Square Error (LRMSE) of the extracted drainage networks from different DEMs interpolated using Topo to raster, Natural Neighbor (NN), kriging and IDW interpolation methods at 5, 10, 15 and 20m resolutions over moderate, steep, and gentle slope terrain. Each evaluation conducted yielded a different result, but the accuracy of the streams length estimation for most of the DEMs at all the sites increases with an increase in streams order. The total lengths of all the streams of each of the extracted networks at gentle and steep slope sites are shorter than those of the corresponding reference networks though, 15 and 20m kriging and IDW DEMs created longer streams at the moderate slope site. IDW DEMs have proven reliable for streams length estimation while Topo to raster 5, 10, and 15m for streams number estimation. In general, N.N. extracted networks are the only networks that show consistency in the streams length and number estimations, drainage density estimation as well as in LRMSE and DEM RMSE computation at all the resolutions and for all the sites. Therefore, the accuracy of N.N. DEMs and their derivatives do not rapidly change with change in resolution, especially between 5 and 20m at all (steep, gentle and moderate) terrain types.
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Dem插值技术、分辨率和地形类型对流域网络提取影响的评估
本研究利用高分辨率dem (1m)提取的点,研究分辨率、插值方法和地形对水系网提取精度的影响。通过对不同dem在5、10、15和20米分辨率下采用Topo to raster、Natural Neighbor (NN)、kriging和IDW插值方法插值后提取的流域网络在中陡缓坡地形上的河流长度、河流数量、排水密度和纵向均方根误差(LRMSE)的估计精度进行评估。每次评估的结果都不同,但所有站点的大多数dem的流长度估计的准确性随着流顺序的增加而增加。缓坡和陡坡站点各提取网络的所有水流总长度均短于相应参考网络,而中等坡度站点的kriging和IDW dem分别为15和20m,其水流长度较长。IDW dms已被证明可以可靠地进行流长度估计,而Topo到栅格5,10和15m用于流数估计。总的来说,nnn提取的网络是唯一在所有分辨率和所有站点的河流长度和数量估计、排水密度估计以及LRMSE和DEM RMSE计算中显示一致性的网络。因此,n - n - dem及其导数的精度不会随着分辨率的变化而迅速变化,特别是在5 - 20m(陡峭、平缓和中等)地形类型之间。
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