Dec 4, 2016 · The Priority-Flood algorithm is the fastest sequential algorithm in the literature for depression identification and filling of raster DEMs, but ...
This study shows that the Priority-Flood algorithm can be implemented in parallel, which makes it an ideal algorithm for depression identification and filling.
Parallel identification and filling of depressions in raster digital elevation models ; Journal: International Journal of Geographical Information Science, 2016, ...
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In this study, we propose a new variant of the P&D algorithm. The proposed variant fills depressions from the edge of the DEM to the center with the support of ...
Parallel identification and filling of depressions in raster digital elevation models. 2017, International Journal of Geographical Information Science. View ...
Oct 22, 2024 · Identification and removal of surface depressions is a critical step for automated modelling of surface rainfall runoff based on Digital ...
Parallel identification and filling of depressions in raster digital elevation models ... digital elevation models for hydrologic analysis and modelling.
This paper describes a new fast and scalable parallel algorithm to compute global flow accumulation for automatic drainage network extraction in large digital ...
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Apr 1, 2019 · Depression (pit or sink) filling is a key preprocessing step for the automatic hydrologic analysis of surface topography. The Planchon and ...
Three broad approaches exist for depression removal, including filling, which raise elevations within depressions to their outlet heights, breaching, which ...
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