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A New DEM Generalization Method Based on Watershed and Tree Structure
- Source :
- PLoS ONE, Vol 11, Iss 8, p e0159798 (2016), PLoS ONE
- Publication Year :
- 2016
- Publisher :
- Public Library of Science (PLoS), 2016.
-
Abstract
- The DEM generalization is the basis of multi-dimensional observation, the basis of expressing and analyzing the terrain. DEM is also the core of building the Multi-Scale Geographic Database. Thus, many researchers have studied both the theory and the method of DEM generalization. This paper proposed a new method of generalizing terrain, which extracts feature points based on the tree model construction which considering the nested relationship of watershed characteristics. The paper used the 5 m resolution DEM of the Jiuyuan gully watersheds in the Loess Plateau as the original data and extracted the feature points in every single watershed to reconstruct the DEM. The paper has achieved generalization from 1:10000 DEM to 1:50000 DEM by computing the best threshold. The best threshold is 0.06. In the last part of the paper, the height accuracy of the generalized DEM is analyzed by comparing it with some other classic methods, such as aggregation, resample, and VIP based on the original 1:50000 DEM. The outcome shows that the method performed well. The method can choose the best threshold according to the target generalization scale to decide the density of the feature points in the watershed. Meanwhile, this method can reserve the skeleton of the terrain, which can meet the needs of different levels of generalization. Additionally, through overlapped contour contrast, elevation statistical parameters and slope and aspect analysis, we found out that the W8D algorithm performed well and effectively in terrain representation.
- Subjects :
- Topography
Decision Analysis
010504 meteorology & atmospheric sciences
Generalization
Computer science
0211 other engineering and technologies
lcsh:Medicine
02 engineering and technology
01 natural sciences
Trees
Loess
lcsh:Science
Numerical Analysis
Multidisciplinary
Plateau
geography.geographical_feature_category
Applied Mathematics
Simulation and Modeling
Chemistry
Tree structure
Feature (computer vision)
Physical Sciences
Engineering and Technology
Management Engineering
Algorithm
Algorithms
Environmental Monitoring
Research Article
Chemical Elements
Interpolation
Computer and Information Sciences
Watershed
Terrain
Research and Analysis Methods
Rivers
Water Movements
021101 geological & geomatics engineering
0105 earth and related environmental sciences
geography
Data Visualization
Decision Trees
lcsh:R
Elevation
Geomorphology
Loess plateau
Models, Theoretical
Computing Methods
Tin
Geographic Information Systems
Earth Sciences
Schematic Diagrams
lcsh:Q
Scale (map)
Mathematics
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 11
- Issue :
- 8
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....e13af6b67004daa5b51f626455fe3c0f