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Automated Landform Classification of China Based on Hammond’s Method 被引量:1

Automated Landform Classification of China Based on Hammond’s Method
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摘要 <div style="text-align:justify;"> The automatic classification of Macro landforms was processed with the program developed by Hammond’s Manual procedures, which based on properties of slope, local relief, and profile type, which consists of 5 landform types, 24 landform class and 96 landform subclasses. This program identified landform types by moving a square window with size of 9.8 km × 9.8 km. The data includes 816 sheets of topological map with a scale of 1:250,000. The DEM were buildup with the contours and mark points based on this data with a cell size of 200 m, and merge into one sheet. The automated classification was processed on this DEM data with a AML program of ArcGIS 10.X Workstation. The result indicates it produced a classification that has good resemblance to the landforms in China. The maps were produced respectively with 5 types, 16 classes and, 90 subclasses The 5 Landform types of landforms were Plains (PLA), 20.25% of whole areas;Tablelands (TAB) of 3.56%;Plains with Hills or Mountains (PHM) of 32.84%;Open Hills and Mountains (OHM) of 18.72%;Hills and Mountains (HM) of 24.63%. In the result of 24 landform classes, there are not some classes, such as irregular plains with low relief;open very low hills, open low hills;very low hills, low hills, moderate hills. The result of 96 landform subclass is similar to the 24 class. </div> <div style="text-align:justify;"> The automatic classification of Macro landforms was processed with the program developed by Hammond’s Manual procedures, which based on properties of slope, local relief, and profile type, which consists of 5 landform types, 24 landform class and 96 landform subclasses. This program identified landform types by moving a square window with size of 9.8 km × 9.8 km. The data includes 816 sheets of topological map with a scale of 1:250,000. The DEM were buildup with the contours and mark points based on this data with a cell size of 200 m, and merge into one sheet. The automated classification was processed on this DEM data with a AML program of ArcGIS 10.X Workstation. The result indicates it produced a classification that has good resemblance to the landforms in China. The maps were produced respectively with 5 types, 16 classes and, 90 subclasses The 5 Landform types of landforms were Plains (PLA), 20.25% of whole areas;Tablelands (TAB) of 3.56%;Plains with Hills or Mountains (PHM) of 32.84%;Open Hills and Mountains (OHM) of 18.72%;Hills and Mountains (HM) of 24.63%. In the result of 24 landform classes, there are not some classes, such as irregular plains with low relief;open very low hills, open low hills;very low hills, low hills, moderate hills. The result of 96 landform subclass is similar to the 24 class. </div>
作者 Baoying Ye Baoying Ye(School of Land Science and Technology, China University of Geosciences, Beijing, China)
出处 《Journal of Computer and Communications》 2020年第6期23-30,共8页 电脑和通信(英文)
关键词 Landform Classification Hammond DEM Landform Classification Hammond DEM
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  • 1李钜章.中国地貌基本形态划分的探讨[J].地理研究,1987,6(2):32-39. 被引量:35
  • 2陈向东.利用数字化等高线数据自动生成地性结构线[J].测绘科学,1991,22(Z1):34-52. 被引量:4
  • 3陈向东.利用数字化等高线数据自动生成地形结构线[J].北京测绘,1994,8(1):6-12. 被引量:5
  • 4张渭军,孔金玲,王文科,翁晓鹏.山脊线和山谷线自动提取的一种新方法[J].测绘科学,2006,31(1):33-34. 被引量:19
  • 5[3]Aumann G,Ebner H,Tang L.Automatic derivation of skeleton lines from digitized contours [J].ISPRS Journal of Photogrammetry and Remote Sensing.1991,46(5):259-268.
  • 6[4]Ebner H,Reinhardt W,Hossler R.Generation management and utilization of high fidelity digital terrain model [A].In:Mt.Arch.Photogrammetry and Remote Sensing[C],Japan Kyoto:1988,Part BII:III/556-Ⅲ/566.
  • 7[5]Chakreyavanich U.Regular grid DEM data compression by zero-cross:the automatic break line detection[R].Research Report 412,Department of Geodetic Science and Surveying,The Ohio State University,Columbus,Ohio,USA,1991.
  • 8[7]Jenson S K,Domingue J O.Extracrting topographic structure from digital elevation data for geographic information system analysis[J].Phtogrammetry Engineering and Remote Sensing,1988,54(11):1593-1600.
  • 9[8]O' Callaghan J F.The extraction of drainage networks from digital elevation data[J].Computer Vision,Graphics,and Image Processing,1984,(28):323-344.
  • 10[9]Qian J Ehrich R W.DNESYS-An Expert system for automatic extraction of drainage,networks from digital elevation model [J].IEEE Transaction on Geoscience and Remote Sensing,1990,28(1):29-45.

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