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Three‐dimensional landscape process modelling: the effect of DEM resolution
Author(s) -
Schoorl J. M.,
Sonneveld M. P. W.,
Veldkamp A.
Publication year - 2000
Publication title -
earth surface processes and landforms
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.294
H-Index - 127
eISSN - 1096-9837
pISSN - 0197-9337
DOI - 10.1002/1096-9837(200008)25:9<1025::aid-esp116>3.0.co;2-z
Subject(s) - erosion , computer science , scale (ratio) , representation (politics) , digital elevation model , process (computing) , sedimentation , natural (archaeology) , boundary (topology) , environmental science , geology , remote sensing , sediment , cartography , mathematics , geography , geomorphology , paleontology , mathematical analysis , politics , political science , law , operating system
Many landscape models have been developed over the past decades; however, relatively little is known about handling the effects of changing spatial and temporal resolutions. Therefore, resolution effects remain a factor of uncertainty in many hydrological and geomorphological modelling approaches. In this paper we present an experimental multi‐scale study of landscape process modelling. Emphasis was laid on quantifying the effect of changing the spatial resolution upon modelling the processes of erosion and sedimentation. A simple single process model was constructed and equal boundary conditions were created. Using artificial digital elevation models (DEMs) eliminated effects of landscape representation. The only variable factors were DEM resolution and the method of flow routing, both steepest descent and multiple flow directions. Our experiments revealed an important dependency of modelled erosion and sedimentation rates on these main variables. The general trend is an increase of erosion predictions with coarser resolutions. An artificial mathematical overestimation of erosion and a realistic natural modelling effect of underestimating resedimentation cause this. Increasing the spatial extent eliminates the artificial effect while at the same time the realistic effect is enhanced. Both effects can be quantified and are expected to increase within natural landscapes. The modelling of landscape processes will benefit from integrating these types of results at different resolutions. Copyright © 2000 John Wiley & Sons, Ltd.