Improvements to DEM merging with r.mblend

Luís Moreira De Sousa; João Paulo Leitão

doi:10.5220/0006672500420049

Improvements to DEM merging with r.mblend

Luís Moreira De Sousa, João Paulo Leitão

ISRIC - World Soil Information

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Academic › peer-review

Abstract

r.mblend is an implementation of the MBlend method for merging Digital Elevation Models (DEMs). This method produces smooth transitions between contiguous DEMs of different spatial resolution, for instance, when acquired by different sensors. r.mblend is coded on the Python API provided by the Geographic Resources Analysis Support System (GRASS), being fully integrated in that GIS software. It introduces improvements to the original method and provides the user with various parameters to fine tune the merging procedure. This article showcases the main differences between r.mblend and two conventional DEM merge methods: Cover and Average.

Original language	English
Title of host publication	GISTAM 2018 - Proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management
Editors	Cedric Grueau, Robert Laurini, Lemonia Ragia
Publisher	SciTePress
Pages	42-49
ISBN (Electronic)	9789897582943
DOIs	https://doi.org/10.5220/0006672500420049
Publication status	Published - 2018
Event	4th International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2018 - Funchal, Madeira, Portugal Duration: 17 Mar 2018 → 19 Mar 2018

Conference

Conference	4th International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2018
Country/Territory	Portugal
City	Funchal, Madeira
Period	17/03/18 → 19/03/18

Keywords

Digital elevation model (DEM)
Raster
Terrain analysis

Access to Document

10.5220/0006672500420049Licence: CC BY-NC-ND

Cite this

@inproceedings{c56671af9fa142e1ad5bd6fd7ffbdca4,

title = "Improvements to DEM merging with r.mblend",

abstract = "r.mblend is an implementation of the MBlend method for merging Digital Elevation Models (DEMs). This method produces smooth transitions between contiguous DEMs of different spatial resolution, for instance, when acquired by different sensors. r.mblend is coded on the Python API provided by the Geographic Resources Analysis Support System (GRASS), being fully integrated in that GIS software. It introduces improvements to the original method and provides the user with various parameters to fine tune the merging procedure. This article showcases the main differences between r.mblend and two conventional DEM merge methods: Cover and Average.",

keywords = "Digital elevation model (DEM), Raster, Terrain analysis",

author = "{De Sousa}, {Lu{\'i}s Moreira} and Leit{\~a}o, {Jo{\~a}o Paulo}",

year = "2018",

doi = "10.5220/0006672500420049",

language = "English",

pages = "42--49",

editor = "Cedric Grueau and Robert Laurini and Lemonia Ragia",

booktitle = "GISTAM 2018 - Proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management",

publisher = "SciTePress",

note = "4th International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2018 ; Conference date: 17-03-2018 Through 19-03-2018",

}

De Sousa, LM & Leitão, JP 2018, Improvements to DEM merging with r.mblend. in C Grueau, R Laurini & L Ragia (eds), GISTAM 2018 - Proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management. SciTePress, pp. 42-49, 4th International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2018, Funchal, Madeira, Portugal, 17/03/18. https://doi.org/10.5220/0006672500420049

Improvements to DEM merging with r.mblend. / De Sousa, Luís Moreira; Leitão, João Paulo.

GISTAM 2018 - Proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management. ed. / Cedric Grueau; Robert Laurini; Lemonia Ragia. SciTePress, 2018. p. 42-49.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Academic › peer-review

TY - GEN

T1 - Improvements to DEM merging with r.mblend

AU - De Sousa, Luís Moreira

AU - Leitão, João Paulo

PY - 2018

Y1 - 2018

N2 - r.mblend is an implementation of the MBlend method for merging Digital Elevation Models (DEMs). This method produces smooth transitions between contiguous DEMs of different spatial resolution, for instance, when acquired by different sensors. r.mblend is coded on the Python API provided by the Geographic Resources Analysis Support System (GRASS), being fully integrated in that GIS software. It introduces improvements to the original method and provides the user with various parameters to fine tune the merging procedure. This article showcases the main differences between r.mblend and two conventional DEM merge methods: Cover and Average.

AB - r.mblend is an implementation of the MBlend method for merging Digital Elevation Models (DEMs). This method produces smooth transitions between contiguous DEMs of different spatial resolution, for instance, when acquired by different sensors. r.mblend is coded on the Python API provided by the Geographic Resources Analysis Support System (GRASS), being fully integrated in that GIS software. It introduces improvements to the original method and provides the user with various parameters to fine tune the merging procedure. This article showcases the main differences between r.mblend and two conventional DEM merge methods: Cover and Average.

KW - Digital elevation model (DEM)

KW - Raster

KW - Terrain analysis

U2 - 10.5220/0006672500420049

DO - 10.5220/0006672500420049

M3 - Conference paper

AN - SCOPUS:85052503062

SP - 42

EP - 49

BT - GISTAM 2018 - Proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management

A2 - Grueau, Cedric

A2 - Laurini, Robert

A2 - Ragia, Lemonia

PB - SciTePress

T2 - 4th International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2018

Y2 - 17 March 2018 through 19 March 2018

ER -

Improvements to DEM merging with r.mblend

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Keywords

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