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Reproducible, Automated and Objective Stream Threshold Selection and Upstream Riparian Corridor Delineation from Digital Elevation Models

机译:从数字高程模型可重现,自动和客观的流阈值选择和上游河岸走廊轮廓

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Selection of accumulation thresholds for automated stream network extraction from digital elevation models (DEM) and delineation of upstream riparian corridors for given stream sampling points are important in water resources research. Accumulation threshold selection is often done by subjective comparison to a surveyed stream network and upstream riparian corridors are delineated manually. In this paper, we present "ATRIC", a combination of two algorithms developed by integrating the open source software packages R and GRASS GIS. ATRIC extracts DEM stream sources based on lateral displacements from surveyed stream network. The lateral displacement is selected by optimizing the number of DEM streams compared to the number of surveyed streams. Then an accumulation threshold is selected by optimizing the percentage of overlapped DEM stream cells with surveyed stream cells buffered with the selected lateral displacement. ATRIC extracts upstream riparian corridors from upstream catchments delineated by snapping stream sampling points to DEM extracted stream network. ATRIC showed better goodness of fit when compared to available algorithms and thus will improve topographic mapping and hydrological information extraction.
机译:从数字高程模型(DEM)中自动提取河流网络的蓄积阈值的选择以及给定河流采样点的上游河岸走廊的划定在水资源研究中很重要。积累阈值的选择通常是通过与被调查的河流网络进行主观比较来完成的,而上游河岸走廊则是手动划定的。在本文中,我们介绍了“ ATRIC”,这是通过集成开源软件包R和GRASS GIS开发的两种算法的组合。 ATRIC根据被测河流网络的横向位移提取DEM河流源。通过优化DEM流的数量与所调查流的数量相比,可以选择横向位移。然后,通过优化重叠的DEM流元的百分比来选择累积阈值,其中,DEM流元与被调查的流元以选定的横向位移进行缓冲。 ATRIC从上游集水区中提取上游河岸走廊,方法是将河流采样点捕捉到DEM抽取的河流网络中。与可用算法相比,ATRIC显示出更好的拟合度,因此将改善地形图绘制和水文信息提取。

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