Articles | Volume 20, issue 8
Hydrol. Earth Syst. Sci., 20, 3379–3392, 2016
https://doi.org/10.5194/hess-20-3379-2016

Special issue: Geomorphometry: advances in technologies and methods for Earth...

Hydrol. Earth Syst. Sci., 20, 3379–3392, 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 et al.

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (20 Jun 2016) by Helena Mitasova
AR by Cheng-Zhi Qin on behalf of the Authors (06 Jul 2016)  Author's response    Manuscript
ED: Publish subject to minor revisions (Editor review) (25 Jul 2016) by Helena Mitasova
AR by Cheng-Zhi Qin on behalf of the Authors (26 Jul 2016)  Author's response    Manuscript
ED: Publish as is (27 Jul 2016) by Helena Mitasova
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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.