NDLI: Automated extraction of drainages in China based on DEM in GIS environment

Content Provider	IEEE Xplore Digital Library
Author	Xu Xinliang Zhuang Dafang
Copyright Year	2003
Description	Author affiliation: Inst. of Geogr. Sci. & Nature Resources Res., Chinese Acad. of Sci., Beijing, China (Xu Xinliang)
Abstract	Automated extraction the flow network and drainages is a premise of matching the observation datum and developing water cycle information system. This paper put forward a method that automatically extract drainages in China from DEM data. This method used DEM data of 1:250,000 scale. Firstly divided the whole country into 9 parts based on the drainages that extracted from 1KM DEM data; secondly filled sinks and removed peaks in each part and identified the flow direction of each cell using flow direction function, then calculated the flow accumulation of each cell according to flow direction and identified the flow network by setting the threshold value; finally used the watershed0 function to find out all the sub-drainages based on the flow networks and the watershed outlet. On the other hand, this article listed the AML code for automated extraction drainages from DEM data. Additionally the author checked the result of automated extraction using some surveyed data in Haihe drainage area. Through analysis on the comparison between the flow networks and drainage area that extracted using this method and surveyed data, a conclusion can be draw that this method is effective and efficient.
Starting Page	3344
Ending Page	3346
File Size	1380955
Page Count	3
File Format	PDF
ISBN	0780379292
DOI	10.1109/IGARSS.2003.1294777
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-07-21
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Geographic Information Systems Data mining Rivers Water resources Intelligent networks Content addressable storage Information systems Hydrology Digital elevation models Management information systems
Content Type	Text
Resource Type	Article

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