1. Identificação | |
Tipo de Referência | Artigo em Evento (Conference Proceedings) |
Site | plutao.sid.inpe.br |
Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identificador | J8LNKB5R7W/3Q633EF |
Repositório | urlib.net/www/2017/12.05.12.49.16 |
Última Atualização | 2017:12.08.12.12.12 (UTC) administrator |
Repositório de Metadados | urlib.net/www/2017/12.05.12.49.17 |
Última Atualização dos Metadados | 2018:06.04.23.26.38 (UTC) administrator |
Rótulo | lattes: 2916855460918534 1 FelgueirasCamaOrti:2017:ExGeMe |
Chave de Citação | FelgueirasCamaOrti:2017:ExGeMe |
Título | Exploring geostatistical methods to improve the altimetry accuracies of digital elevation models |
Formato | DVD |
Ano | 2017 |
Data de Acesso | 17 jun. 2024 |
Tipo Secundário | PRE CI |
Número de Arquivos | 1 |
Tamanho | 707 KiB |
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2. Contextualização | |
Autor | 1 Felgueiras, Carlos Alberto 2 Camargo, Eduardo Celso Gerbi 3 Ortiz, Jussara de Oliveira |
Identificador de Curriculo | 1 8JMKD3MGP5W/3C9JGQD 2 8JMKD3MGP5W/3C9JGUK 3 8JMKD3MGP5W/3C9JHKL |
Grupo | 1 DIDPI-CGOBT-INPE-MCTIC-GOV-BR 2 DIDPI-CGOBT-INPE-MCTIC-GOV-BR 3 DIDPI-CGOBT-INPE-MCTIC-GOV-BR |
Afiliação | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Instituto Nacional de Pesquisas Espaciais (INPE) |
Endereço de e-Mail do Autor | 1 carlos@dpi.inpe.br 2 eduardo.camargo@inpe.br 3 jussara.ortiz@inpe.br |
Nome do Evento | International Conference on GeoComputation |
Localização do Evento | Leeds, England |
Data | 4-7 Sept. |
Título do Livro | Proceedings |
Tipo Terciário | Paper |
Histórico (UTC) | 2017-12-08 12:12:12 :: lattes -> administrator :: 2017 2018-06-04 23:26:38 :: administrator -> simone :: 2017 |
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3. Conteúdo e estrutura | |
É a matriz ou uma cópia? | é a matriz |
Estágio do Conteúdo | concluido |
Transferível | 1 |
Tipo do Conteúdo | External Contribution |
Tipo de Versão | publisher |
Palavras-Chave | Digital Elevation Modeling DEM accuracy Geostatistics kriging CoKriging |
Resumo | This article explores computational geostatistical methods to improve the accuracy of the altimetry attribute of Digital Elevation Models (DEMs). The geostatistical procedures, ordinary kriging, kriging with external drift and cokriging, are used to obtain uncertainty representations related to altimetry predictions. The 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 the available DEM data along with additional information, coming from reliable sources and having better quality, in the data modeling processes. Generally, high accurate altimetry data are collected, often with a higher cost, in field works at specific points located inside the spatial region of interest. In short, this work aims to integrate spatial elevation information from different through geostatistical methods to obtain better quality DEMs. The methods addressed in this research work were applied to a case study in a Brazilian southeast geographical region. |
Área | SRE |
Arranjo | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Exploring geostatistical methods... |
Conteúdo da Pasta doc | acessar |
Conteúdo da Pasta source | não têm arquivos |
Conteúdo da Pasta agreement | não têm arquivos |
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4. Condições de acesso e uso | |
URL dos dados | http://urlib.net/ibi/J8LNKB5R7W/3Q633EF |
URL dos dados zipados | http://urlib.net/zip/J8LNKB5R7W/3Q633EF |
Idioma | en |
Arquivo Alvo | felgueiras_exploring.pdf |
Grupo de Leitores | administrator lattes |
Visibilidade | shown |
Permissão de Leitura | allow from all |
Permissão de Atualização | não transferida |
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5. Fontes relacionadas | |
Unidades Imediatamente Superiores | 8JMKD3MGPCW/3EQCCU5 |
Lista de Itens Citando | sid.inpe.br/mtc-m21/2012/07.13.14.43.05 2 sid.inpe.br/bibdigital/2013/09.09.15.05 1 sid.inpe.br/mtc-m21/2012/07.13.14.53.06 1 |
URL (dados não confiáveis) | http://www.geocomputation.org/2017/papers/45.pdf |
Acervo Hospedeiro | dpi.inpe.br/plutao@80/2008/08.19.15.01 |
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6. Notas | |
Notas | Informações Adicionais: Abstract This article explores computational geostatistical methods to improve the accuracy of the altimetry attribute of Digital Elevation Models (DEMs). The geostatistical procedures ordinary kriging, kriging with external drift and cokriging, are used to obtain uncertainty representations related to altimetry predictions. The 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 the available DEM data along with additional information, coming from reliable sources and having better quality, in the data modeling processes. Generally, high accurate altimetry data are collected, often with a higher cost, in field works at specific points located inside the spatial region of interest. In short, this work aims to integrate spatial elevation information from different through geostatistical methods to obtain better quality DEMs. The methods addressed in this research work were applied to a case study in a Brazilian southeast geographical region.. |
Campos Vazios | archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor isbn issn lineage mark mirrorrepository nextedition numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarymark type usergroup volume |
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7. Controle da descrição | |
e-Mail (login) | simone |
atualizar | |
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