| 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 | 8JMKD3MGP3W/3FCL63N |
| Repositório | sid.inpe.br/plutao/2013/12.12.15.45.47 |
| Última Atualização | 2014:03.28.20.00.34 (UTC) administrator |
| Repositório de Metadados | sid.inpe.br/plutao/2013/12.12.15.45.48 |
| Última Atualização dos Metadados | 2018:06.04.23.39.16 (UTC) administrator |
| Rótulo | lattes: 2916855460918534 1 FelgueirasCamaOrtiRenn:2013:UnMoDa |
| Chave de Citação | FelgueirasCamaOrtiRenn:2013:UnMoDa |
| Título | Uncertainty modeling for data from remote sensing images using copula based indicator approaches  |
| Formato | DVD |
| Ano | 2013 |
| Data de Acesso | 08 maio 2024 |
| Tipo Secundário | PRE CI |
| Número de Arquivos | 1 |
| Tamanho | 632 KiB |
| 2. Contextualização | |
| Autor | 1 Felgueiras, Carlos Alberto 2 Camargo, Eduardo Celso Gerbi 3 Ortiz, Jussara de Oliveira 4 Renno, Camilo Daleles |
| Identificador de Curriculo | 1 8JMKD3MGP5W/3C9JGQD 2 8JMKD3MGP5W/3C9JGUK 3 8JMKD3MGP5W/3C9JHKL 4 8JMKD3MGP5W/3C9JGN2 |
| Grupo | 1 DPI-OBT-INPE-MCTI-GOV-BR 2 DPI-OBT-INPE-MCTI-GOV-BR 3 DPI-OBT-INPE-MCTI-GOV-BR 4 DPI-OBT-INPE-MCTI-GOV-BR |
| Afiliação | 1 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) |
| Endereço de e-Mail do Autor | 1 carlos@dpi.inpe.br 2 eduardo@dpi.inpe.br 3 jussara@dpi.inpe.br 4 camilo@dpi.inpe.br |
| Endereço de e-Mail | carlos@dpi.inpe.br |
| Nome do Evento | Spatial Statistics Conference. |
| Localização do Evento | Columbus, USA |
| Data | 2013 |
| Título do Livro | Proceedings |
| Tipo Terciário | Poster |
| Histórico (UTC) | 2013-12-12 16:19:21 :: lattes -> administrator :: 2013 2014-04-01 23:00:15 :: administrator -> marcelo.pazos@sid.inpe.br :: 2013 2014-04-04 12:16:09 :: marcelo.pazos@sid.inpe.br -> administrator :: 2013 2018-06-04 23:39:16 :: administrator -> marcelo.pazos@inpe.br :: 2013 |
| 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 | environmental science forest geostatistics interpolation and smoothing spatial sampling uncertainty and error |
| Resumo | Indicator geoestatistic approaches have been used to estimate uncertainty models of environmental information as soil and hydrological properties, atmospheric and weather data, elevations, ... This work explores these approaches, that depend on the variogram (semivariogram) evaluations, to model the uncertainties of remote sensing image information. Bivariate copulas can be used to estimate variances (semivariances), instead of traditional mean variograms, to model the spatial variability of the considered attribute. Unlike traditional semivariograms, copula variograms represent dependence over the whole range of quantiles, including the extremes, and are not sensitive to outliers. |
| Área | SRE |
| Arranjo | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Uncertainty modeling for... |
| Conteúdo da Pasta doc | acessar |
| Conteúdo da Pasta source | não têm arquivos |
| Conteúdo da Pasta agreement | não têm arquivos |
| 4. Condições de acesso e uso | |
| URL dos dados | http://urlib.net/ibi/8JMKD3MGP3W/3FCL63N |
| URL dos dados zipados | http://urlib.net/zip/8JMKD3MGP3W/3FCL63N |
| Idioma | en |
| Arquivo Alvo | Poster-CarlosFelgueiras.pdf |
| Grupo de Usuários | lattes marcelo.pazos@inpe.br self-uploading-INPE-MCTI-GOV-BR |
| Grupo de Leitores | administrator marcelo.pazos@inpe.br |
| Visibilidade | shown |
| Permissão de Leitura | allow from all |
| Permissão de Atualização | não transferida |
| 5. Fontes relacionadas | |
| Repositório Espelho | iconet.com.br/banon/2006/11.26.21.31 |
| Unidades Imediatamente Superiores | 8JMKD3MGPCW/3EQCCU5 |
| Lista de Itens Citando | sid.inpe.br/mtc-m21/2012/07.13.14.43.05 2 sid.inpe.br/mtc-m21/2012/07.13.14.53.06 1 sid.inpe.br/mtc-m21/2012/07.13.14.42 1 |
| URL (dados não confiáveis) | http://www.spatialstatisticsconference.com/ |
| Acervo Hospedeiro | dpi.inpe.br/plutao@80/2008/08.19.15.01 |
| 6. Notas | |
| Notas | Informações Adicionais: Extended Abstract: The objective of this paper is to assess uncertainty models, local or global, for remote sensing image information of a forest region. As the size of remote sensing images is usually very large it is used a random sample set sufficient to represent the spatial variability, or spatial dependence, of the entire image. The sample set is considered as input for assessment of empirical indicator variograms. A set of cutoff values is considered to obtain the empirical variograms using empirical bivariate copulas for various spatial distances values. In this case bivariate distribution of the random field is defined in terms of the bivariate copula. The empirical variograms are fitted by mathematical models in order to be used as input, along with the samples, for indicator geostatistical approaches of kriging estimations and sequential simulations. The main advantage of using copulas is that traditional variograms describe the spatial dependence with mean values, the mean dependence, while the spatial copula describes the dependence over the whole range of quantiles. Moreover copulas are not sensitive to outliers. Indicator approaches, krigings and simulations, has been frequently used to estimate the univariate and multivariate conditional distribution of the random variable or field given a spatial data set. These approaches can be used to perform spatial interpolation at image locations with missed or misleading information caused by clouds and shadows, for example. A case study is presented with China-Brazil Earth Remote Satellite (CBERS) images from the Amazon forest region considering deforested and no deforested areas. The results of the case study is reported along with spatial analyses considering aspects related to performance, goodness of representation, accuracy and uncertainties of the models. . |
| Campos Vazios | archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi edition editor isbn issn lineage mark 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 volume |
| 7. Controle da descrição | |
| e-Mail (login) | marcelo.pazos@inpe.br |
| atualizar | |