Physical Geography

Structure and contents of layered classification system of digital geomorphology for China

  • State Key Laboratory of Resources and Environmental Information Systems, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
Cheng Weiming (1973–), Ph.D and Associate Professor, specialized in information extraction and mapping of digital geomorphology. E-mail:

Received date: 2011-01-20

  Revised date: 2011-04-10

  Online published: 2011-10-03

Supported by

Key Project of the National Natural Science Foundation of China, No.40871177; No.40830529; No.40971063


This paper presents the structure and contents of a standardized layered classification system of digital geomorphology for China. This digital classification method combines landforms characteristics of morphology with genesis. A total of 15 categories of exogenic and endogenic forces are divided into two broad categories: morpho-genetic and morpho-structural landforms. Polygon patches are used to manage the morpho-genetic types, and solitary points, lines and polygons are used to manage the morpho-structural types. The classification method of digital morpho-genetic types can be divided into seven layers, i.e. basic morphology and altitude, genesis, sub-genesis, morphology, micro-morphology, slope and aspect, material and lithology. The method proposes combinations of matrix forms based on layered indicators. The attributes of every landform types are obtained from all or some of the seven layers. For the 15 forces categories, some classification indicators and calculation methods are presented for the basic morphology, the morphologic and sub-morphologic landforms of the morpho-genetic types. The solitary polygon, linear and point types of morpho-structural landforms are presented respectively. The layered classification method can meet the demands of scale-span geomorphologic mapping for the national primary scales from 1:500,000 to 1:1,000,000. The layers serve as classification indicators, and therefore can be added and reduced according to mapping demands, providing flexible expandability.

Cite this article

CHENG Weiming, ZHOU Chenghu, LI Bingyuan, SHEN Yuancun, ZHANG Baiping . Structure and contents of layered classification system of digital geomorphology for China[J]. Journal of Geographical Sciences, 2011 , 21(5) : 771 -790 . DOI: 10.1007/s11442-011-0879-9


Bishop M P, John F, Jr Shroder et al., 2003. Remote sensing and geomorphometry for studying relief production in high mountains. Geomorphology, 55: 345–361.
Bocco G, Mendoza M, Velazquez A, 2001. Remote sensing and GIS-based regional geomorphologic mapping: A tool for land use planning in developing countries. Geomorphology, 39: 211–219.
Brian M Steele, 2000. Combining multiple classifiers: An application using spatial and remotely sensed information for land cover type mapping. Remote Sensing of Environment, 74: 545–556.
Chen Jiyu, 1995. Chinese Coastal Geomorphology. Beijing: China Ocean Press. (in Chinese)
Chen Zhiming, 1993. Discussion on the principles, contents and methods for mapping geomorphologic maps of China. Acta Geographica Sinica, 48(2): 105–112. (in Chinese)
Chen Zhiming, 1994. Geomorphologic Map of China. Beijing: Science Press. (in Chinese)
Cheng Weiming, Zhou Chenghu, Chai Huixia et al., 2011. Research and compilation of the Geomorphologic Atlas of the People’s Republic of China (1:1,000,000). Journal of Geographical Sciences, 21(1): 89-100.
China’s National Atlas Compilation Committee, 1965. Natural Atlas of the People’s Republic of China. Beijing: State Bureau of Surveying and Mapping. (in Chinese)
Christoph Siart, Olaf Bubenzer, Bernhard Eitel, 2009. Combining digital elevation data (SRTM/ASTER), high resolution satellite imagery (Quickbird) and GIS for geomorphological mapping: A multi-component case study on Mediterranean karst in Central Crete. Geomorphology, 112: 106–121.
David R Butler, Stephen J Walsh, 1998. The application of remote sensing and geographic information systems in the study of geomorphology: An introduction. Geomorphology, 21: 179–181.
Demoulin A, Bovy B, Rixhon G et al., 2007. An automated method to extract fluvial terraces from digital elevation models: The Vesdre Valley, a case study in eastern Belgium. Geomorphology, 91: 51–64.
Gustavsson M, Seijmonsbergen A C, Kolst Else, 2008. Structure and contents of a new geomorphological GIS database linked to a geomorphological map: With an example from Liden, central Sweden, Geomorphology, 95: 335–349.
Institute of Geography, Chinese Academy of Sciences and others, 1987a. Map Specification for 1:1,000,000 Geomorphologic Maps of China (draft). Beijing: Science Press. (in Chinese)
Institute of Geography, Chinese Academy of Sciences and others, 1987b. 1:1,000,000 Geomorphologic Maps of China and Explanation (sheets of Beijing, Qiqihar, Hohhot, Xining, Lanzhou, Luda, Xi’an, Nanjing, Chengdu, Wuhan, Shanghai, Dali, Hengyang, Hainan Island). Beijing: Science Press. (in Chinese)
Irvin B J, Ventura S J, Slater B K, 1997. Fuzzy and isodata classification of landform elements from digital terrain data in Pleasant Valley, Wisconsin. Geoderma, 77: 137–154.
Li Bingyuan, Li Juzhang, 1994. Geomorphologic Map of China (1:4,000,000). Beijing: Science Press. (in Chinese)
Li Jijun, Zhou Chenghu, Cheng Weiming et al., 2009. Geomorphologic Atlas of the People’s Republic of China. Beijing: Science Press. (in Chinese)
Liu Jiaqi, 1999. Chinese Volcanoes. Beijing: Science Press. (in Chinese)
Markov K K, 1957. Lu Enze, Yang Yuhua trans. Basic Problems in Geomorphology. Beijing: Geology Press. (in Chinese)
Miliaresis G, 2001. Extraction of bajadas from digital elevation models and satellite imagery. Computers & Geosciences, 27(10): 1157–1167.
Miliaresis G, Argialas D, 2000. Extraction and delineation of alluvial fans from digital elevation models and Landsat Thematic Mapper images. Photogrammetric Engineering and Remote Sensing, 66(9): 1093–1101.
Miliaresis G Ch, Iliopoulou P, 2004. Clustering of Zagros Ranges from the Global DEM representation. International Journal of Applied Earth Observation and Geoinformation, 5: 17–28.
Natural Divisions Working Committee, 1959. Chinese Geomorphologic Regionalization. Beijing: Science Press. (in Chinese)
Pan Deyang, 1961. Theory and method problems of geomorphologic mapping. Geography Department. (in Chinese)
Philip T Giles, Steven E Franklin, 1998. An automated approach to classification of the slope units using digital data, Geomorphology, 21: 251–264.
Ren Mei’e, 1983. Introduction to Karst Study. Beijing: The Commercial Press. (in Chinese)
Shen Yuchang, 1958. Discuss on the types and regionalization of Chinese geomorphology. Chinese Quaternary Research, 1(1): 33–41.
Shen Yuchang, Gong Guoyuan, 1986. Overview of Fluvial Geomorphology. Beijing: Science Press. (in Chinese)
Shi Yafeng, Cui Zhijiu, Su Zhen, 2006. Chinese Quaternary Glaciers and Environmental Changes. Beijing: China Map Publishing House. (in Chinese)
Wang Ying, 1996. Chinese Ocean Geography. Beijing: Science Press. (in Chinese)
Yang Jingchun, 1993. Chinese Geomorphologic Characteristics and Evolution. Beijing: China Ocean Press. (in Chinese)
Zeng Zhaoxuan, 1985. Chinese Topography. Guangzhou: Guangdong Science and Technology’s Press. (in Chinese)
Zhang Zonghu, Zhang Zhiyi, Wang Yuzhi, 1989. Chinese Loess. Beijing: Geology Press. (in Chinese)
Zhou Chenghu, 2006. A Dictionary of Geomorphology. Beijing: Press of China Water Conservancy & Hydroelectricity. ( in Chinese)
Zhou Chenghu, Cheng Weiming, Qian Jinkai, 2009. Digital Geomorphologic Interpretation and Mapping from Remote Sensing. Beijing: Science Press. (in Chinese)
Zhou Qinru, Shi Yafen, Chen Shupeng, 1956. Chinese Topographic Zonalization Draft. Beijing: Science Press. (in Chinese)
Zhou Youwu, Guo Dongxin, Qiu Guoqing et al., 2000. Chinese Permafrost. Beijing: Science Press. (in Chinese)
Zhu Zhenda, Wu Zheng, Liu Shu, 1980. Introduction to Chinese Deserts. Beijing: Science Press. (in Chinese)