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Drainage basin object-based method for regional-scale landform classification: a case study of loess area in China 总被引:1,自引:0,他引:1
Landform classification is one of the most important procedures in recognizing and dividing earth surface landforms. However, topographical homogeneity and differences in regional-scale landforms are often ignored by traditional pixel- and object-based landform classification methods based on digital elevation models (DEMs). In this work, a drainage basin object-based method for classifying regional-scale landforms is proposed. Drainage basins with least critical areas are first delineated from DEMs. Then, terrain derivatives of mean elevation, mean slope, drainage density, drainage depth, and terrain texture are employed to characterize the morphology of the drainage basins. Finally, a decision tree based on the topographical characteristics of the drainage basins is constructed and employed to determine the landform classification law. The experiment is validated in the landform classification of regional-scale loess areas in China. Results show that clear boundaries exist in different landforms at the regional scale. Landform type in a specific region shows significant topographical homogeneity under its specific regional geomorphological process. Classification accuracies are 87.3 and 86.3% for the field investigation and model validation, respectively. Spatial patterns of classified landforms and their proximity to sediment sources and other factors can be regarded as indicators of the evolutionary process of loess landform formation. 相似文献
43.
Land use change in Bohai Rim: a spatial-temporal analysis 总被引:5,自引:0,他引:5
Land use change is one of the important aspects of global change[1-3]. The Bohai Rim is a hot spot of economic development in China, where land use changes remarkably. Analyzing land use change in this area is significant to the research of global change and regional sustainable land use. Although there has been much work undertaken on regional land use change in China, it was mainly on urban land use change[4-11], and few researches integrated remote sensing and GIS method. Based on data f… 相似文献
44.
A comprehensive analysis of phenological changes in forest vegetation of the Funiu Mountains,China 总被引:1,自引:2,他引:1
Journal of Geographical Sciences - This paper reports the phenological response of forest vegetation to climate change (changes in temperature and precipitation) based on Moderate Resolution... 相似文献
45.
The distribution of L absorption lines has been investigated in the fractal scheme. It is found that (1) the L absorption clouds distribute completely different from that of galaxies; (2) the L absorption clouds are anti-associated with galaxies and quasars. These results may imply that there are two kinds of objects formed by different processes of clustering. This is favourable for the cosmic-string theory on the formation of large-scale structure of the Universe. In the string model, the objects can be divided into two kinds according to their clustering with or without string loops as their initial density perturbation.On leave from the Center of Astrophysics, University of Science and Technology of China, Hefei, P.R. China. Y. Chu is a research fellow of Alexander von Humboldt-Foundation. 相似文献
46.
2010年玉树Ms7.1地震前的重力变化 总被引:1,自引:1,他引:1
利用中国地壳运动观测网络1998—2008年绝对重力和相对重力观测资料,获得了玉树地震区域重力场及其动态变化,从动态的观点研究了2010年4月14日玉树Ms7.1地震前区域重力场演化特征及其与地震活动的关系。结果表明:1)重力变化与甘孜 玉树断裂构造活动存在密切的空间联系,重力测量较好地反映了伴随活动断层的物质迁移和构造变形引起的地表重力变化效应;2)区域重力场动态图像较完整地反映了2010年4月14日玉树7.1级地震孕育、发生过程中出现的流动重力观测得到的异常前兆信息;3)玉树震中附近重力点值时序变化累积量超过80×
10-8 ms-2,较好地反映了玉树地震前重力测点随时间的剧烈波动性上升变化。 相似文献
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苏皖运动的存在于否,对研究苏浙皖边界地区的地质发展史和正确认识长兴阶地层有重要意义。笔者论证了长兴组的厚度变化、界线粘土层的性质与成因、底砾岩的确认和地层接触关系、古生物群的突变等问题,认为:1)区内苏皖运动是存在的;2)砺山-江阴海堤不可否定;将安徽广德牛头山经江苏宜兴至江阴条带内的龙潭组上部地层作为长兴组的相变产物是不妥的。 相似文献
50.
Near-source noise suppression of AMT by compressive sensing and mathematical morphology filtering 总被引:5,自引:0,他引:5
Guang Li Xiao Xiao Jing-Tian Tang Jin Li Hui-Jie Zhu Cong Zhou Fa-Bao Yan 《应用地球物理》2017,14(4):581-589
In deep mineral exploration, the acquisition of audio magnetotelluric (AMT) data is severely affected by ambient noise near the observation sites; This near-field noise restricts investigation depths. Mathematical morphological filtering (MMF) proved effective in suppressing large-scale strong and variably shaped noise, typically low-frequency noise, but can not deal with pulse noise of AMT data. We combine compressive sensing and MMF. First, we use MMF to suppress the large-scale strong ambient noise; second, we use the improved orthogonal match pursuit (IOMP) algorithm to remove the residual pulse noise. To remove the noise and protect the useful AMT signal, a redundant dictionary that matches with spikes and is insensitive to the useful signal is designed. Synthetic and field data from the Luzong field suggest that the proposed method suppresses the near-source noise and preserves the signal well; thus, better results are obtained that improve the output of either MMF or IOMP. 相似文献