地理信息系统技术应用

基于DEM与DLG的福建省地貌形态自动分类

展开
  • 福建师范大学地理研究所, 福州 350007
陈加兵(1977-),男,博士,副研究员,研究方向为资源与环境信息系统应用。E-mail:cjbfjnu@163.com

收稿日期: 2012-09-20

  修回日期: 2012-12-10

  网络出版日期: 2013-02-25

基金资助

国家自然科学基金项目(41001064);福建省教育厅A类项目(JA10084);福建省自然科学基金项目(2012J05051)。

Auto-Classification of Geomorphological Types Based on DLG and DEM for Fujian Province

Expand
  • Institute of Geography, Fujian Normal University, Fuzhou 350007, China

Received date: 2012-09-20

  Revised date: 2012-12-10

  Online published: 2013-02-25

摘要

以福建省1:10万的DLG(Digital Line Graphic,数字线划图)和DEM(Digital Elevation Model,数字高程模型)为基础,在ArcGIS软件支持下,依据坡度和面积组合指标,将福建省地貌形态单元分为平缓地和山丘地;提取地形图中水系与等高线的高程点交集,构建了福建省地方相对基准面,并以流域水文分析方法提取了山丘地地貌形态实体单元;把平缓地和山丘地貌形态实体单元分别与地方侵蚀基准面叠加,参照"中国1:100万地貌制图规范",将福建省地貌形态类型分为平地、台地、低丘、高丘、低山、中山。研究结果表明:该方法符合福建传统地貌分类体系,能够较好快速实现平缓地与山丘地、平地(平原)与台(阶)地的自动划分,有效地提取山丘地貌形态实体单元的界线。

本文引用格式

陈加兵, 李慧, 陈文惠, 郑达贤 . 基于DEM与DLG的福建省地貌形态自动分类[J]. 地球信息科学学报, 2013 , 15(1) : 75 -80 . DOI: 10.3724/SP.J.1047.2013.00075

Abstract

Base on Digital Line Graphic (DLG) at 1:100,000 scale and Digital Elevation Model (DEM: 30×30 m resolution), firstly, the geomorphological types of Fujian Province can be divided into two basic types according to the two main combinational indicators slope and area: shallow-slope region and hill-mountain (steep-slope) region. Secondly, the elevational points that contours the river system in DLG are extracted by ArcGIS software. On this basis, the relative reference surface of Fujian Province is constructed through spacial interpolation method. Thirdly, geomorphological entities in steep-slope region are divided into taper units with the method of watershed hydrological model. Finally, according to the 1:1,000,000 Geomorphological Mapping Specification for China, combining the geomorphological characteristics of Fujian Province, and overlaying the above-mentioned geomorphological entities and relative reference surface of Fujian Province respectively, the geomorphological entities of Fujian Province can be divided into six types, i.e., plain, platform, low relief hill, high relief hill, low relief mountain and intermediate relief mountain. The result shows: among geomorphological types of Fujian Province, hill accounts for 34.1%, mountain accounts for 51.8%, both together account for 85.9%, and plain, flat and platform together account for only 13.1%. The result is basically identical to that by traditional manual mapping. The methods developed in this article are corresponding to traditional classification system of geomorphology for Fujian, and can automatically classify the geomorphological entities fast and well, such as the shallow-slope region and hill-mountain region, plain and platform, which are feasible according to precision and efficiency, saving manpower, material resources and financial resources greatly, and offering a new thinking and methodology for domestic and international similar researches.

参考文献

[1] 斯皮里顿诺夫 A N. 地貌制图学[M].北京:地质出版社,1956.

[2] 沈玉昌.中国地貌的类型与区划问题的商榷[J].中国第四纪研究,1958,1(1):33-41.

[3] 中国自然区划工作委员会.中国地貌区划(初稿)[M].北京:科学出版社,1959.

[4] Cheng W M, Zhou C H, Li B Y, et al. Structure and contents of layered classification system of digital geomorphology for China[J]. Journal of Geographical Sciences, 2011,21(5):771-790.

[5] Hammond E H. Analysis of properties in landform geography: An application to broad-scale landform mapping[J]. Annals of Association of American Geographers, 1964(54):11-19.

[6] Dikau R, Brabb E E, Mark R M. Landform classification of New Mexico by computer[M]. U. S. Geological Survey, 1991.

[7] Brabyn L. GIS analysis of macro landform[M]. // SIRC, The 10th Colloquium of the Spatial Information Research Centre. New Zealand:University of Otago,1998,35-48.

[8] Morgan J M, Lesh A M. Developing landform maps using ESRI's ModelBuilder [C]. ESRI User Conference 2005 Proceedings. http://gis.esri.com/library/userconf/froc05/papers/pap2206.pdf, 2005.

[9] Dragut L, Blaschke T. Automated classification of landform elements using object-based image analysis[J]. Geomorphology. 2006(81):330-344.

[10] Prima O D A, Echigo A, Yokoyama R, et al. Supervised landform classification of Northeast Honshu from DEM-derived thematic maps[J]. Geomorphology, 2006(78):373-386.

[11] Iwahashi J, Pike R J. Automated classifications of topography from DEMs by an unsupervised nested-means algorithm and a three-part geometric signature[J]. Geomorphology, 2007(86):409-440.

[12] 朱红春,陈楠民,刘海英,等.自1:10000比例尺DEM提取地形起伏度——以陕北黄土高原的实验为例[J].测绘科学,2005,30(4):86-88.

[13] 刘爱利,汤国安.中国地貌基本形态DEM的自动划分研究[J].地球信息科学,2006,8(4):8-14.

[14] 郎玲玲,程维明,朱启疆,等.多尺度DEM提取地势起伏度的对比分析——以福建低山丘陵区为例[J].地球信息科学,2007,9(6):1-8.

[15] 程维明,周成虎,柴慧霞,等.中国陆地地貌基本形态类型定量提取与分析[J].地球信息科学学报,2009,11(6):725-736.

[16] 曹伟超,陶和平,孔博,等.基于DEM数据分割的西南地区地貌形态自动识别研究[J].中国水土保持,2011(3):38-41.

[17] 曹伟超,陶和平,孔博,等.利用最佳地形特征空间进行地貌形态自动识别[J].武汉大学学报(信息科学版),2011,36(11):1376-1380.

[18] 韦金丽,王国波,凌子燕.基于高分辨率DEM的地形特征提取与分析[J].测绘与空间地理信息,2012,35(1):33-36.

[19] 汪禹芹,李艳,刘爱利.基于面向对象思想的中国地貌形态类型划分[J].遥感信息,2012(1):13-18.

[20] 马士彬,安裕伦.基于ASTER GDEM数据喀斯特区域地貌类型划分与分析[J].地理科学,2012,32(3):368-373.

[21] 肖飞,张百平,凌峰,等.基于DEM的地貌实体单元自动提取方法[J].地理研究,2008,27(2):459-466.

[22] 陈加兵,励惠国,郑达贤,等.基于DEM的福建省小流域划分研究[J].地球信息科学,2007,9(2):74-77,95.

[23] 中国科学院地理科学与资源研究所.中国1:1 000 000地貌制图规范[S].北京:科学出版社,1987.

[24] 张寒龙.福建省自然地图集[M].福州:福建省地图出版社,2000.

文章导航

/