Acta Geodaetica et Cartographica Sinica ›› 2017, Vol. 46 ›› Issue (10): 1570-1591.doi: 10.11947/j.AGCS.2017.20170388

Previous Articles     Next Articles

Progress of Digital Terrain Analysis on Regional Geomorphology in China

TANG Guoan1,2,3, NA Jiaming1,2,3, CHENG Weiming4   

  1. 1. Key Laboratory of Virtual Geographic Environment of Ministry of Education, Nanjing Normal University, Nanjing 210023, China;
    2. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China;
    3. State Key Laboratory Cultivation Base of Geographical Environment Evolution, Nanjing 210023, China;
    4. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
  • Received:2017-07-07 Revised:2017-09-10 Online:2017-10-20 Published:2017-10-26
  • Supported by:

    The National Natural Science Foundation of China (No. 41671389)

Abstract:

Regional geomorphological research is an important part of regional geography research. In recent decades, digital terrain analysis has been widely used in regional geomorphology research. However, due to the limitations of the classic neighborhood analysis algorithm, it is hard to realize the quantitative analysis on the macroscopic morphological features. To solve this problem, Chinese scholars had made a lot of explorations and innovations. An overall review was made in this paper on Chinese scholars' contribution to the DTA research on macro terrain morphology analysis, topographic feature analysis, tupu analysis, landform evolution, landform classification and mapping. The research review shows that Chinese scholars' researches are closely followed by international frontier. The digital terrain analysis in the Qinghai-Tibet Plateau, the Loess Plateau and the southwest karst area highlights the regional characteristics and advantages of geomorphology in China, and has had an important impact in the international academic session.

Key words: regional geomorphology, digital terrain analysis, research overview

CLC Number: