Articles | Volume 20, issue 8
https://doi.org/10.5194/hess-20-3379-2016
https://doi.org/10.5194/hess-20-3379-2016
Research article
 | 
23 Aug 2016
Research article |  | 23 Aug 2016

Case-based knowledge formalization and reasoning method for digital terrain analysis – application to extracting drainage networks

Cheng-Zhi Qin, Xue-Wei Wu, Jing-Chao Jiang, and A-Xing Zhu

Viewed

Total article views: 2,972 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,879 1,005 88 2,972 840 92 103
  • HTML: 1,879
  • PDF: 1,005
  • XML: 88
  • Total: 2,972
  • Supplement: 840
  • BibTeX: 92
  • EndNote: 103
Views and downloads (calculated since 19 Jan 2016)
Cumulative views and downloads (calculated since 19 Jan 2016)

Cited

Saved (preprint)

Latest update: 24 Dec 2024
Download
Short summary
Application of digital terrain analysis (DTA), which is typically a modeling process involving workflow building, relies heavily on DTA domain knowledge. However, the DTA knowledge has not been formalized well to be available for inference in automatic tools. We propose a case-based methodology to solve this problem. This methodology can also be applied to other domains of geographical modeling with a similar situation.