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基于DEM的平原区人工微地貌数字提取方法探讨
  • 期刊名称:地理科学
  • 时间:0
  • 页码:647-653
  • 语言:中文
  • 分类:P931.91[天文地球—自然地理学] TP75[自动化与计算机技术—控制科学与工程;自动化与计算机技术—检测技术与自动化装置]
  • 作者机构:[1]中国科学院测量与地球物理研究所,湖北武汉430077, [2]LAGE, Instituto de Geografia, UNAM, Mexico City 04510
  • 相关基金:国家自然科学基金项目(40801045); 湖北省自然科学基金项目(2009CDB138); 中国科学院知识创新工程重要方向项目(kzcx2-yw-141)、中国科学院知识创新工程领域前沿项目(0609211120)资助
  • 相关项目:基于数字地貌分析的江汉平原小港地区渍害田空间格局及演化
中文摘要:

针对江汉平原区堤垸人工微地貌,综合局部地形分析、水流模拟分析以及GIS空间分析和地统计分析方法,利用SRTM DEM数据进行微地貌自动提取研究。根据人工微地貌特点,构建一种局部地形形态分析方法来对结构线位置进行标示,并提出一种流域合并的方法来进行微地貌结构线提取;进而综合上述两种方法的计算结果,提出平原区人工微地貌的组合提取方法。研究结果表明该方法可较好实现平原区垸堤人工微地貌结构线提取。

英文摘要:

This paper presented a numerical methodology for recognition and extraction of artificial micro-geomorphology in the Jianghan Plain.In the different spatial scales of geomorphologic types,micro-geomorphology is the smallest spatial pattern and thus is more easily influenced by human activities.In this sense,artificial micro-geomorphology would show more potential in understanding the interactions between natural environment and human activities.Due to the continuous land utilization and rearrangement from historical period in the Jianghan Plain,a kind of artificial micro-geomorphology characterized by enclosed embankments on the low-lying land was formed.For decades,it played a very important role in the spatial distributions of some disasters such as flood and waterlogging.Compared with the automated extraction of drainage network and catchments boundaries from nature valleys,automated recognition of artificial micro-geomorphology skeleton lines has distinctive difficulties because of its tiny size,greater susceptibility to data error,and the different spatial structures with nature geomorphology.Despite of the progress in the automatic extraction of terrain skeleton lines,there is no auto-extracting method of artificial micro-geomorphology availablility yet,and it still dependes on the manual way to extract the skeleton lines of artificial geomorphology from the remotely sensed images and topographic maps.In this paper,a digital method for extracting the skeleton line of artificial micro-geomorphology was developed through the combination of the local topography analysis and the overland flow simulation.According to the specific artificial geomorphology features in the Jianghan Plain,a method was brought forward to identify the potential positions of the topographic skeleton lines,which is based on the evaluation of difference between the local elevations and the average elevations within moving windows.Then,an algorithm of watershed-merging based on flow simulation was developed to extract the potential skelet

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