Improvements to DEM merging with r.mblend

Luís Moreira De Sousa, João Paulo Leitão

Research output: Chapter in Book/Report/Conference proceedingConference paper

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 languageEnglish
Title of host publicationGISTAM 2018 - Proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management
EditorsCedric Grueau, Robert Laurini, Lemonia Ragia
PublisherSciTePress
Pages42-49
ISBN (Electronic)9789897582943
DOIs
Publication statusPublished - 2018
Event4th International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2018 - Funchal, Madeira, Portugal
Duration: 17 Mar 201819 Mar 2018

Conference

Conference4th International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2018
CountryPortugal
CityFunchal, Madeira
Period17/03/1819/03/18

Fingerprint

Merging
digital elevation model
Application programming interfaces (API)
Geographic information systems
Geographical Information System
spatial resolution
GIS
Sensors
sensor
software
method
resource
resources

Keywords

  • Digital elevation model (DEM)
  • Raster
  • Terrain analysis

Cite this

De Sousa, L. M., & Leitão, J. P. (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 (pp. 42-49). SciTePress. https://doi.org/10.5220/0006672500420049
De Sousa, Luís Moreira ; Leitão, João Paulo. / Improvements to DEM merging with r.mblend. GISTAM 2018 - Proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management. editor / Cedric Grueau ; Robert Laurini ; Lemonia Ragia. SciTePress, 2018. pp. 42-49
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title = "Improvements to DEM merging with r.mblend",
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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",
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booktitle = "GISTAM 2018 - Proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management",
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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 proceedingConference paper

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De Sousa LM, Leitão JP. Improvements to DEM merging with r.mblend. In Grueau C, Laurini R, Ragia L, editors, GISTAM 2018 - Proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management. SciTePress. 2018. p. 42-49 https://doi.org/10.5220/0006672500420049