CATCH: a FORTRAN program for measuring catchment area from digital elevation models
Computers & Geosciences
Calculating catchment area with divergent flow based on a regular grid
Computers & Geosciences
Errors in river lengths derived from raster digital elevation models
Computers & Geosciences
Towards a definition of higher order constrained Delaunay triangulations
Computational Geometry: Theory and Applications
Extraction of drainage networks from large terrain datasets using high throughput computing
Computers & Geosciences
Removing local extrema from imprecise terrains
Computational Geometry: Theory and Applications
Flooding countries and destroying dams
WADS'07 Proceedings of the 10th international conference on Algorithms and Data Structures
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Depression filling and direction assignment over flat areas are critical issues in hydrologic analysis. This paper proposes an efficient approach for the treatment of depressions and flat areas, based on gridded digital elevation models. Being different from the traditional raster neighborhood process which is time consuming, a hybrid method of vector and raster manipulation is designed for depression filling, followed by a neighbor-grouping scan method to assign the flow direction over flat areas. The results from intensive experiments show that there is a linear relationship between time efficiency and data volume, and the extracted hydrologic structures of flat areas are also more reasonable than those proposed by the existing methods.