Paper
11 November 2008 The abstraction method research of river network based on catchments' characters deriving digital elevation data
Lili Jiang, Qingwen Qi, Zhong Zhang, Jiafu Han, Xifang Cheng, An Zhang
Author Affiliations +
Proceedings Volume 7146, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses; 71462L (2008) https://doi.org/10.1117/12.813189
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China
Abstract
The extraction of drainage networks and catchment boundaries from digital elevation models (DEMs) has received considerable attention in recent years and is recognized as a viable alternative to traditional surveys and the manual evaluation of topographic maps. Digital data on the position and characteristics of river networks and catchments are important for the analysis of water resources. GIS tools allow for the combined analysis of digital elevation data and environmental parameters in order to derive this kind of information. In this paper we present an application that selecting river network deriving digital elevation data. In this application, we use catchments as the unit of river abstraction. Many researchers took catchments as the base of hydrographic model because the catchments deriving from digital elevation data can reflect the characteristics of terrain which is the foundation of the river network. In the abstraction of river network, how to keep the structure of the river network after abstraction is the very important issue. This is why we choose the catchments deriving from digital elevation models as the unit of our generalization research. Considering the complication of the structure of river network, in this paper, we only choose three drainage patterns which are dendritic drainage patterns, featherlike drainage patterns, and Parallel drainage patterns as the examples of the research. From the results of research, it can not only keep the density of the river network, but also keep the structure of the river network.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lili Jiang, Qingwen Qi, Zhong Zhang, Jiafu Han, Xifang Cheng, and An Zhang "The abstraction method research of river network based on catchments' characters deriving digital elevation data", Proc. SPIE 7146, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses, 71462L (11 November 2008); https://doi.org/10.1117/12.813189
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Cited by 3 scholarly publications.
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KEYWORDS
Data modeling

Databases

Analytical research

Raster graphics

Geographic information systems

Data processing

Process modeling

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