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Modified method for extraction of watershed boundary with digital elevation modeling

机译:用数字高程模型提取流域边界的改进方法

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Boundary extraction of watershed is an important step in forest landscape research. The boundary of the upriver watershed of the Hunhe River in the sub-alpine Qingyuan County of eastern Liaoning Province, China was extracted by digital elevation modeling (DEM) data in Arclnfo8. 1. Remote sensing image of the corresponding region was applied to help modify its copy according to Enhanced Thematic Mapper (ETM) image's profuse geomorphological structure information. Both the DEM-dependent boundary and modified copy were overlapped with county map and drainage network map to visually check the effects of result. Overlap of county map suggested a nice extraction of the boundary line since the two layers matched precisely, which indicated the DEM-dependentboundary by program was effective and precise. Further upload of drainage network showed discrepancies between the boundary and the drainage network. Altogether, there were three sections of the extraction result that needed to correct. Compared with this extraction boundary, the modified boundary had a better match to the drainage network as well as to the county map. Comprehensive analysis demonstrated that the program extraction has generally fine precision in position and excels the digitized result by hand. The errors of the DEM-dependant extraction are due to the fact that it is difficult for program to recognize sections of complex landform especially altered by human activities, but these errors are discernable and adjustable because the spatial resolution of ETM image is less than that of DEM, This study result proved that application of remote sensing information could help obtain better result when DEM method is used in extraction of watershed boundary.
机译:流域的边界提取是森林景观研究的重要步骤。利用Arclnfo8中的数字高程模型(DEM)数据提取了辽宁东部深高山亚县清浑县浑河上游流域的边界。 1.根据增强主题映射器(ETM)图像丰富的地貌结构信息,应用了相应区域的遥感图像来帮助修改其副本。依赖DEM的边界和修改后的副本均与县地图和排水网络地图重叠,以目视检查结果的效果。县地图的重叠表明边界线的提取很好,因为两层精确匹配,这表明程序所依赖的DEM边界是有效且精确的。排水网络的进一步上传显示了边界和排水网络之间的差异。总共需要对提取结果进行三部分校正。与提取边界相比,修改后的边界与排水网络以及县地图的匹配度更高。综合分析表明,程序提取一般具有良好的定位精度,并且优于手工数字化结果。依赖于DEM的提取的错误是由于这样一个事实,即程序难以识别特别是由人类活动改变的复杂地形部分,但是这些错误是可辨别和可调整的,因为ETM图像的空间分辨率小于ETM图像的空间分辨率。 DEM,这项研究结果证明,当使用DEM方法提取流域边界时,遥感信息的应用将有助于获得更好的结果。

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