Advances in Earth Science ›› 2022, Vol. 37 ›› Issue (7): 661-679. doi: 10.11867/j.issn.1001-8166.2022.037

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Commentaries and Prospect on the Geomorphic Information Spectrum

Weiming CHENG 1 , 2 , 3 , 4( ), Keyu SONG 1 , 2, Chenghu ZHOU 1 , 2 , 3 , 4, Guoan TANG 3 , 5   

  1. 1.State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    2.University of Chinese Academy of Sciences, Beijing 100049, China
    3.Jiangsu Collaborative Innovation Center for Development and Utilization of Geographic Information Resources, Nanjing 210023, China
    4.Collaborative Innovation Center for South China Sea Research, Nanjing 210093, China
    5.Key Laboratory of Virtual Geographic Environment of Ministry of Education, Nanjing Normal University, Nanjing 210023, China
  • Received:2022-03-23 Revised:2022-06-14 Online:2022-07-10 Published:2022-07-21
  • About author:CHENG Weiming (1973-), male, Tianshui City, Gansu Province, Professor. Research areas include digital geomorphology and planetary geomorphology. E-mail: chengwm@lreis.ac.cn
  • Supported by:
    the National Natural Science Foundation of China “Geomorphic classification and mapping based on geomorphic information spectrum”(42130110)

Weiming CHENG, Keyu SONG, Chenghu ZHOU, Guoan TANG. Commentaries and Prospect on the Geomorphic Information Spectrum[J]. Advances in Earth Science, 2022, 37(7): 661-679.

Geo-information Tupu, which is the origin of the geomorphic information spectrum, is introduced and the concept and development of the geomorphic information spectrum are then discussed. From the perspective of specific research, the research types and status of the geomorphic information spectrum are summarized, including the geomorphic morphological characteristic spectrum (such as, surface slope spectrum, section spectrum, two-dimensional pattern spectrum, and topographic texture spectrum) and the geomorphic development spectrum. Combined with the development of remote sensing, computers, artificial intelligence, and other technologies, the prospect of the combination of knowledge graph and information spectrum in future geomorphic research is analyzed, and the research progress and key technologies of geomorphic information spectrum such as geomorphic information extraction, geomorphic information classification, and geomorphic mapping are summarized. The future development of geomorphic information spectrum is prospected using three aspects: constructing a complete geomorphic information spectrum system, improving key technologies of geomorphic information spectrum, and strengthening the refinement and quantitative research of global geomorphic patterns and evolution. This study can provide a reference for the digitization, informatization, and intellectualization of digital geomorphology to serve as the major strategy for the management of national resources and the environment and promote the development of geomorphology.

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