25 July 2007 Application research of terrain based on DEM and data mining
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Abstract
Terrain is one of the essential elements on geography. A Digital Elevation Model (DEM) is one of the methods to represent the elevation of the earth's surface. It contains abundant landform information. It is very important that we can extract relevant information form DEM for GIS to analyze and apply. And it is very meaning that Mini-watersheds are classed with data mining yielding knowledge. This paper shows that some problems can be addressed using GIS technology. Firstly, TIN and DEM are formed. Secondly, 28 Mini-watershed of the study area separated by Hydrology Analysis and factors of other terrain are extracted. Such as drainage density, average slope, average slope length and topographic relief. Thirdly, Mini-watersheds are classed again by clustering based on data collecting C5.0 (Algorithm). In the end, model are set up and discussed. In this paper, we have discussed that (a)the topological gurgitation and slope grade relation great with each other (0.93); (b)most Mini-watershed are orientation south; (c) the results and models showed correlation clearly between terrain and agriculture landuse in the study area.
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Ming Yu, Ming Yu, Xiaoyu Chen, Xiaoyu Chen, Tinghua Ai, Tinghua Ai, } "Application research of terrain based on DEM and data mining", Proc. SPIE 6753, Geoinformatics 2007: Geospatial Information Science, 67531W (25 July 2007); doi: 10.1117/12.761847; https://doi.org/10.1117/12.761847
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