Articles | Volume 20, issue 8
Hydrol. Earth Syst. Sci., 20, 3379–3392, 2016
https://doi.org/10.5194/hess-20-3379-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
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
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
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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Cited
13 citations as recorded by crossref.
- Review on algorithms of dealing with depressions in grid DEM Y. Wang et al. 10.1080/19475683.2019.1604571
- Geomorphometry today I. Florinsky 10.35595/2414-9179-2021-2-27-394-448
- Spatial optimization of watershed best management practice scenarios based on boundary-adaptive configuration units L. Zhu et al. 10.1177/0309133320939002
- A case-based method of selecting covariates for digital soil mapping P. LIANG et al. 10.1016/S2095-3119(19)62857-1
- Using the most similar case method to automatically select environmental covariates for predictive mapping P. Liang et al. 10.1007/s12145-020-00466-5
- GIScience and remote sensing in natural resource and environmental research: Status quo and future perspectives T. Pei et al. 10.1016/j.geosus.2021.08.004
- Adaptive Determination of the Flow Accumulation Threshold for Extracting Drainage Networks from DEMs W. Zhang et al. 10.3390/rs13112024
- Next generation of GIS: must be easy A. Zhu et al. 10.1080/19475683.2020.1766563
- Mapping Surficial Soil Particle Size Fractions in Alpine Permafrost Regions of the Qinghai–Tibet Plateau C. Wang et al. 10.3390/rs13071392
- A Five-Star Guide for Achieving Replicability and Reproducibility When Working with GIS Software and Algorithms J. Wilson et al. 10.1080/24694452.2020.1806026
- Formalizing Parameter Constraints to Support Intelligent Geoprocessing: A SHACL-Based Method Z. Hou et al. 10.3390/ijgi10090605
- Comparison on two case‐based reasoning strategies of automatically selecting terrain covariates for digital soil mapping P. Liang et al. 10.1111/tgis.12831
- From Manual to Intelligent: A Review of Input Data Preparation Methods for Geographic Modeling Z. Hou et al. 10.3390/ijgi8090376
12 citations as recorded by crossref.
- Review on algorithms of dealing with depressions in grid DEM Y. Wang et al. 10.1080/19475683.2019.1604571
- Geomorphometry today I. Florinsky 10.35595/2414-9179-2021-2-27-394-448
- Spatial optimization of watershed best management practice scenarios based on boundary-adaptive configuration units L. Zhu et al. 10.1177/0309133320939002
- A case-based method of selecting covariates for digital soil mapping P. LIANG et al. 10.1016/S2095-3119(19)62857-1
- Using the most similar case method to automatically select environmental covariates for predictive mapping P. Liang et al. 10.1007/s12145-020-00466-5
- GIScience and remote sensing in natural resource and environmental research: Status quo and future perspectives T. Pei et al. 10.1016/j.geosus.2021.08.004
- Adaptive Determination of the Flow Accumulation Threshold for Extracting Drainage Networks from DEMs W. Zhang et al. 10.3390/rs13112024
- Next generation of GIS: must be easy A. Zhu et al. 10.1080/19475683.2020.1766563
- Mapping Surficial Soil Particle Size Fractions in Alpine Permafrost Regions of the Qinghai–Tibet Plateau C. Wang et al. 10.3390/rs13071392
- A Five-Star Guide for Achieving Replicability and Reproducibility When Working with GIS Software and Algorithms J. Wilson et al. 10.1080/24694452.2020.1806026
- Formalizing Parameter Constraints to Support Intelligent Geoprocessing: A SHACL-Based Method Z. Hou et al. 10.3390/ijgi10090605
- Comparison on two case‐based reasoning strategies of automatically selecting terrain covariates for digital soil mapping P. Liang et al. 10.1111/tgis.12831
1 citations as recorded by crossref.
Saved (preprint)
Latest update: 02 Dec 2021
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.
Application of digital terrain analysis (DTA), which is typically a modeling process involving...
