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1. Identity statement
Reference TypeJournal Article
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W/3RAQTF4
Repositorysid.inpe.br/plutao/2018/06.19.04.48.02   (restricted access)
Last Update2018:06.20.12.38.27 (UTC) simone
Metadata Repositorysid.inpe.br/plutao/2018/06.19.04.48.03
Metadata Last Update2019:01.14.17.09.18 (UTC) administrator
DOI10.4172/2327-4581.1000179
ISSN2327-4581
Labellattes: 3997386421385499 8 FelgueirasOCNRORS:2018:FuBaGe
Citation KeyFelgueirasOCNRORSM:2018:FuBaGe
TitleFusion based on geostatistics to improve the altimetry accuracies of digital elevation models
Year2018
Access Date2024, May 13
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size2880 KiB
2. Context
Author1 Felgueiras, Carlos Alberto
2 Ortiz, Jussara de Oliveira
3 Camargo, Eduardo Celso Gerbi
4 Namikawa, Laércio Massaru
5 Rosim, Sérgio
6 Oliveira, João Ricardo de Freitas
7 Rennó, Camilo Daleles
8 Sant'Anna, Sidnei João Siqueira
9 Monteiro, Antônio Miguel Vieira
Resume Identifier1 8JMKD3MGP5W/3C9JGQD
2 8JMKD3MGP5W/3C9JHKL
3 8JMKD3MGP5W/3C9JGUK
4 8JMKD3MGP5W/3C9JHL5
5 8JMKD3MGP5W/3C9JJ8E
6 8JMKD3MGP5W/3C9JHF2
7 8JMKD3MGP5W/3C9JGN2
8 8JMKD3MGP5W/3C9JJ8N
9 8JMKD3MGP5W/3C9JGJN
Group1 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
2 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
3 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
4 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
5 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
6 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
7 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
8 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
9 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
6 Instituto Nacional de Pesquisas Espaciais (INPE)
7 Instituto Nacional de Pesquisas Espaciais (INPE)
8 Instituto Nacional de Pesquisas Espaciais (INPE)
9 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 carlos@dpi.inpe.br
2 jussara.ortiz@inpe.br
3 eduardo.camargo@inpe.br
4 laercio.namikawa@inpe.br
5 sergio.rosim@inpe.br
6 oao.ricardo@inpe.br
7 camilo.renno@inpe.br
8 sidnei.santanna@inpe.br
9 miguel.monteiro@inpe.br
JournalGeoinformatics and Geostatistics: an Overview
Volume6
Number2
Pages1-7
History (UTC)2018-06-19 04:48:03 :: lattes -> administrator ::
2018-06-19 11:34:31 :: administrator -> lattes :: 2018
2018-06-20 12:38:31 :: lattes -> administrator :: 2018
2018-07-04 17:53:27 :: administrator -> simone :: 2018
2018-07-06 12:19:06 :: simone -> administrator :: 2018
2019-01-04 16:58:50 :: administrator -> simone :: 2018
2019-01-07 10:54:53 :: simone -> administrator :: 2018
2019-01-14 17:09:18 :: administrator -> simone :: 2018
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsElevation data fusion
Digital elevation modeling
DEM accuracy
Geostatistics
Kriging
Co-kriging
AbstractFusions based on geostatistical methods are used in this article to improve the accuracy of the altimetry attribute of Digital Elevation Models (DEMs). Ordinary kriging, kriging with external drift, regression kriging and cokriging procedures, are applied to assess uncertainty representations from which it is possible to get altimetry predictions and other information. The fusion data modeling is performed from existing DEMs, mainly available for free in the internet, and additional high accurate set of 3D sample points. Although the freeware DEMs are dense and generally have good spatial distributions, the accuracy of their altimetry information might not be suitable for many applications. A way of mitigating this problem is to combine, in the data modeling processes, the available DEM data along with additional information coming from various other sources and having better quality. Usually, high accurate altimetry data are collected in field works, with higher cost, at specific point locations inside the spatial region of interest. In short, this work aims to integrate, through geostatistical methods, spatial elevation information of different sources, data structures and elevation accuracies to obtain better accurate DEMs. The methodology addressed in this research was applied to a case study in a Brazilian Southeast geographical region. Quantitative and qualitative validations were performed using an independent high accurate data set and comparisons based on DEM differences and drainage network automatic extraction. For the considered study area, the kriging with external drift and the regression kriging have led to similar quantitative and qualitative improvements, better than the co-kriging approach.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Fusion based on...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
Languageen
Target Filefelgueiras_fusion.pdf
User Grouplattes
Reader Groupadministrator
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simone
Visibilityshown
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3EQCCU5
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.53.06 2
sid.inpe.br/mtc-m21/2012/07.13.14.43.05 2
sid.inpe.br/mtc-m21/2012/07.13.14.40.32 1
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
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