GraFar - Repository of the Faculty of Civil Engineering
Faculty of Civil Engineering of the University of Belgrade
    • English
    • Српски
    • Српски (Serbia)
  • English 
    • English
    • Serbian (Cyrillic)
    • Serbian (Latin)
  • Login
View Item 
  •   GraFar
  • GraFar
  • Radovi istraživača / Researcher's publications
  • View Item
  •   GraFar
  • GraFar
  • Radovi istraživača / Researcher's publications
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Improving merge methods for grid-based digital elevation models

Authorized Users Only
2016
Authors
Leitao, Joao P.
Prodanović, Dušan
Maksimović, Čedo
Article (Published version)
Metadata
Show full item record
Abstract
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 Id:Blend, showed significant improvements when compared to DEMs produced by the three conve...ntional 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.

Keywords:
Data merging / Digital elevation models / Grid-based rasters / Terrain analysis
Source:
Computers & Geosciences, 2016, 88, 115-131
Publisher:
  • Elsevier Ltd

DOI: 10.1016/j.cageo.2016.01.001

ISSN: 0098-3004

WoS: 000370456200010

Scopus: 2-s2.0-84953854825
[ Google Scholar ]
11
7
URI
https://grafar.grf.bg.ac.rs/handle/123456789/792
Collections
  • Radovi istraživača / Researcher's publications
  • Катедра за хидротехнику и водно-еколошко инжењерство
Institution/Community
GraFar
TY  - JOUR
AU  - Leitao, Joao P.
AU  - Prodanović, Dušan
AU  - Maksimović, Čedo
PY  - 2016
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/792
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 Id:Blend, 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.
PB  - Elsevier Ltd
T2  - Computers & Geosciences
T1  - Improving merge methods for grid-based digital elevation models
EP  - 131
SP  - 115
VL  - 88
DO  - 10.1016/j.cageo.2016.01.001
ER  - 
@article{
author = "Leitao, Joao P. and Prodanović, Dušan and Maksimović, Čedo",
year = "2016",
abstract = "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 Id:Blend, 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.",
publisher = "Elsevier Ltd",
journal = "Computers & Geosciences",
title = "Improving merge methods for grid-based digital elevation models",
pages = "131-115",
volume = "88",
doi = "10.1016/j.cageo.2016.01.001"
}
Leitao, J. P., Prodanović, D.,& Maksimović, Č.. (2016). Improving merge methods for grid-based digital elevation models. in Computers & Geosciences
Elsevier Ltd., 88, 115-131.
https://doi.org/10.1016/j.cageo.2016.01.001
Leitao JP, Prodanović D, Maksimović Č. Improving merge methods for grid-based digital elevation models. in Computers & Geosciences. 2016;88:115-131.
doi:10.1016/j.cageo.2016.01.001 .
Leitao, Joao P., Prodanović, Dušan, Maksimović, Čedo, "Improving merge methods for grid-based digital elevation models" in Computers & Geosciences, 88 (2016):115-131,
https://doi.org/10.1016/j.cageo.2016.01.001 . .

DSpace software copyright © 2002-2015  DuraSpace
About the GraFar Repository | Send Feedback

OpenAIRERCUB
 

 

All of DSpaceCommunitiesAuthorsTitlesSubjectsThis institutionAuthorsTitlesSubjects

Statistics

View Usage Statistics

DSpace software copyright © 2002-2015  DuraSpace
About the GraFar Repository | Send Feedback

OpenAIRERCUB