Use of plan curvature variations for the identification of ridges and channels on DEM.
Presented at: 12th International Symposium on Spatial Data Handling, Vienna, Austria.
This paper proposes novel improvements in the traditional algorithms for the identification of ridge and channel (also called ravines) topographic features on raster digital elevation models (DEMs). The overall methodology consists of two main steps: (1) smoothing the DEM by applying a mean filter, and (2) detection of ridge and channel features as cells with positive and negative plan curvature respectively, along with a decline and incline in plan curvature away from the cell in direction orthogonal to the feature axis respectively. The paper demonstrates a simple approach to visualize the multi-scale structure of terrains and utilize it for semi-automated topographic feature identification. Despite its simplicity, the revised algorithm produced markedly superior outputs than a comparatively sophisticated feature extraction algorithm based on conic-section analysis of terrain.
|Type:||Conference item (Presentation)|
|Title:||Use of plan curvature variations for the identification of ridges and channels on DEM|
|Event:||12th International Symposium on Spatial Data Handling|
|Dates:||12-14 July 2006|
|Open access status:||An open access version is available from UCL Discovery|
|Additional information:||The original publication is available at www.springer.com.|
|UCL classification:||UCL > School of BEAMS > Faculty of Engineering Science > Civil, Environmental and Geomatic Engineering|
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