Imperial College London
Alternate

ProfessorCedoMaksimovic

Faculty of Engineering, Department of Civil and Environmental Engineering

Principal Research Fellow
 
 
 
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Contact

 

+44 (0)20 7594 6013c.maksimovic Website

 
 
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Assistant

 

Miss Angela Frederick +44 (0)20 7594 6123

 
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Location

 

404Skempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Leitao:2016:10.1016/j.cageo.2016.01.001,
author = {Leitao, JP and Prodanovic, D and Maksimovic, C},
doi = {10.1016/j.cageo.2016.01.001},
journal = {Computers and Geosciences},
pages = {115--131},
title = {Improving merge methods for grid-based digital elevation models},
url = {http://dx.doi.org/10.1016/j.cageo.2016.01.001},
volume = {88},
year = {2016}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Digital Elevation Models (DEMs) are used to represent the terrain in applications such as, for example, overland flow modelling or viewshed analysis. DEMs generated from digitising contour lines or obtained by LiDAR or satellite data are now widely available. However, in some cases, the area of study is covered by more than one of the available elevation data sets. In these cases the relevant DEMs may need to be merged. The merged DEM must retain the most accurate elevation information available while generating consistent slopes and aspects. In this paper we present a thorough analysis of three conventional grid-based DEM merging methods that are available in commercial GIS software. These methods are evaluated for their applicability in merging DEMs and, based on evaluation results, a method for improving the merging of grid-based DEMs is proposed. DEMs generated by the proposed method, called MBlend, showed significant improvements when compared to DEMs produced by the three conventional methods in terms of elevation, slope and aspect accuracy, ensuring also smooth elevation transitions between the original DEMs. The results produced by the improved method are highly relevant different applications in terrain analysis, e.g., visibility, or spotting irregularities in landforms and for modelling terrain phenomena, such as overland flow.
AU  - Leitao,JP
AU  - Prodanovic,D
AU  - Maksimovic,C
DO  - 10.1016/j.cageo.2016.01.001
EP  - 131
PY  - 2016///
SN  - 0098-3004
SP  - 115
TI  - Improving merge methods for grid-based digital elevation models
T2  - Computers and Geosciences
UR  - http://dx.doi.org/10.1016/j.cageo.2016.01.001
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000370456200010&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/30951
VL  - 88
ER  -
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