DocumentCode :
2206779
Title :
A Novel Method for Automatic Extracting Loess Positive and Negative Terrains Based on Grid DEMs
Author :
Zhou, Yi ; Tang, Guoan ; Wang, Chun ; Xiao, Chenchao ; Sun, Jinglu
Author_Institution :
Key Lab. of Virtual Geographic Environ., Nanjing Normal Univ., Nanjing, China
fYear :
2009
fDate :
26-28 Dec. 2009
Firstpage :
3730
Lastpage :
3732
Abstract :
The Loess Positive and Negative Terrains (P-N terrains), which are separated by loess shoulder-lines obviously, are crucial parameters in constructing the mechanism-processing models of the loess landform drainage systems. This paper proposed a novel algorithm for automatic extracting loess P-N terrains by using of 5m resolution Digital Elevation Models. Three main procedures are designed in the algorithm. The first stage is to detecting out grid cells which at the location of shoulder-lines by comparing the slope gradient up and down the hill slope. Slope gradient variance 20°, 25°and 30°are used as the thresholds in Loess Platform area, Loess Ridge-hill area and Loess Hill area respectively in the extraction model. The second stage is to expanding shoulder-lines´ cells directionally by considering the spatial direction of the local hill slope aspect and the trend of the shoulder-lines. This step is helpful for deriving more consecutive and detailed shoulder-lines on DEMs. The third stage is to generating Positive terrain areas by combination of the upstream contribution areas which controlled by the shoulder-lines grid cell points derived in the step above. The Negative terrain areas are remnant regions deducting from Positive terrain areas. Validation tests are took out by contrasting the auto-extraction results from DEMs and the delineating results from 1m resolution DOMs in six drainages which belonging to typical loess landforms. Results show that the main advantages of this approach are high accuracy, lower demands on manual intervention and ready availability of required data for many regions on the Loess Plateau.
Keywords :
digital elevation models; grid computing; terrain mapping; automatic extracting loess negative terrains; automatic extracting loess positive terrains; digital elevation models; grid DEM; loess hill area; loess landform drainage systems; loess platform area; loess ridge-hill area; slope gradient variance; Algorithm design and analysis; Availability; Data mining; Digital elevation models; Geographic Information Systems; Information science; Mesh generation; Reliability engineering; Spatial resolution; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4909-5
Type :
conf
DOI :
10.1109/ICISE.2009.121
Filename :
5454486
Link To Document :
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