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Review on algorithms of dealing with depressions in grid DEM

Content Provider	Scilit
Author	Wang, Yi-Jie Qin, Cheng-Zhi Zhu, A-Xing
Copyright Year	2019
Description	Journal: Annals of GIS Depressions in grid digital elevation models (DEMs) need to be dealt with before the topographic attributes (such as specific catchment area) and terrain features (such as drainage networks) related to flow directions can be derived from DEMs in a hydrologically-correct manner. Many depression-processing algorithms, which adopt different strategies and take different information under consideration for determining correct flow directions in depressions, have been proposed. However, currently, there is still no one algorithm which can satisfactorily deal with depressions in grid DEMs under various application contexts. In this paper, we review existing depression-processing algorithms based on the adopted strategies (i.e. the DEM-revising strategy and the DEM-unchanging strategy). Algorithms with the DEM-revising strategy especially are discussed in detail according to their designs relating to the revision of DEM elevations, i.e. the smoothing filter, depression filling, depression breaching (or carving), using other qualified data, and applying different algorithms to depressions with different characteristics. Existing ways of improving the computation efficiency of depression-processing algorithms are also presented, i.e. serial algorithm optimization and parallel algorithms. Lastly, we discuss a possible design for an optimal depression-processing algorithm which may be developed in the future.
Related Links	https://www.tandfonline.com/doi/pdf/10.1080/19475683.2019.1604571?needAccess=true
Ending Page	97
Page Count	15
Starting Page	83
ISSN	19475683
e-ISSN	19475691
DOI	10.1080/19475683.2019.1604571
Journal	Annals of GIS
Issue Number	2
Volume Number	25
Language	English
Publisher	Informa UK Limited
Publisher Date	2019-04-03
Access Restriction	Open
Subject Keyword	Journal: Annals of GIS Geological Engineering Physical Geography Grid Digital Elevation Model (dem) Digital Terrain Analysis Flow Direction
Content Type	Text
Subject	Earth and Planetary Sciences Computer Science Applications

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