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Metadados

1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemarte.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Repositóriodpi.inpe.br/sbsr@80/2006/11.23.11.20
Última Atualização2007:03.06.13.26.56 (UTC) administrator
Repositório de Metadadosdpi.inpe.br/sbsr@80/2006/11.23.11.20.18
Última Atualização dos Metadados2020:10.01.15.58.40 (UTC) administrator
Chave SecundáriaINPE-16536-PRE/11112
ISBN978-85-17-00031-7
Chave de CitaçãoSilvaLimFonNovRib:2007:AsImRe
TítuloAssessment of image restoration techniques to enhance the applicability of MODIS images on Amazon floodplain landscape studies
FormatoCD-ROM; On-line.
Ano2007
Data de Acesso03 maio 2024
Tipo SecundárioPRE CN
Número de Arquivos1
Tamanho2276 KiB
2. Contextualização
Autor1 Silva, Thiago Sanna Freire
2 Lima, André de
3 Fonseca, Leila Maria Garcia
4 Novo, Evlyn Márcia Leão de Moraes
5 Ribeiro, Milton Cezar
Identificador de Curriculo1
2
3 8JMKD3MGP5W/3C9JHLD
4 8JMKD3MGP5W/3C9JH39
Grupo1
2 DSR-INPE-MCT-BR
3 DPI-INPE-MCT-BR
4 DSR-INPE-MCT-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE). University of Victoria. Department of Geography.
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Universidade de São Paulo (USP). Instituto de Biociências (IB).
Endereço de e-Mail do Autor1 thiago@uvic.ca
2 andre@dsr.inpe.br
3 leila@dpi.inpe.br
4 evlyn@dsr.inpe.br
5 miltinho_astronauta@yahoo.com
EditorEpiphanio, José Carlos Neves
Galvão, Lênio Soares
Fonseca, Leila Maria Garcia
Endereço de e-Maillise@dpi.inpe.br
Nome do EventoSimpósio Brasileiro de Sensoriamento Remoto, 13 (SBSR).
Localização do EventoFlorianópolis
Data21-26 abr. 2007
Editora (Publisher)Instituto Nacional de Pesquisas Espaciais (INPE)
Cidade da EditoraSão José dos Campos
Páginas6969-6976
Título do LivroAnais
Tipo TerciárioArtigo
OrganizaçãoInstituto Nacional de Pesquisas Espaciais (INPE)
Histórico (UTC)2006-11-23 11:20:18 :: lise@dpi.inpe.br -> sbsr ::
2007-01-10 00:28:42 :: sbsr -> lise@dpi.inpe.br ::
2007-01-12 21:53:37 :: lise@dpi.inpe.br -> administrator ::
2007-05-09 16:19:16 :: administrator -> marciana ::
2008-02-11 13:30:01 :: marciana -> administrator ::
2008-02-13 17:39:21 :: administrator -> marciana ::
2009-06-30 14:32:48 :: marciana -> erich@sid.inpe.br ::
2010-05-14 02:44:09 :: erich@sid.inpe.br -> marciana ::
2011-02-16 14:07:02 :: marciana -> administrator :: 2007
2020-10-01 15:58:40 :: administrator -> :: 2007
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Palavras-ChaveMODIS
remote sensing
Amazon floodplain
image restoration
spatial resolution
sensoriamento remoto
planície de inundação Amazônica
restauração de imagens
resolução espacial
ResumoThe Amazon floodplain represents a significant portion of the worlds wetlands, and participates actively in the carbon cycling in the region. Due to its large extent, remote sensing is the most appropriate tool for studying the Amazonian landscape; image acquisition, however, is highly hindered by the frequent cloud cover. Medium resolution sensors such as MODIS can overcome this problem with a larger swath and high frequency of image acquisition, at the expense of spatial resolution. In the present study, MODIS images were submitted to an image restoration algorithm (RESTAU), to assess the capability of this technique for recovering the spatial detail lost due to the sensor PSF characteristics. Landsat TM and MODIS Aqua reflectance images were acquired for a region of the central Amazon during the high water season. These images were co-registered and the MODIS imagery was submitted to the restoration algorithm. Two sets of TM and MODIS images were then analyzed visually and by the calculation of landscapes indices (i.e. area, shape and patch aggregation). The results show that image restoration can improve the spatial information content of MODIS imagery as whole, but gains are more effective towards area estimations, whereas mapping of shape is still highly affected by scale even after application of the algorithm. Overall, it is suggested that use of image restoration could increase the applicability of MODIS as a tool for area estimations and continuous monitoring of floodplain cover, while accurate delineation of shape still requires higher resolution data to yield acceptable accuracies.
ÁreaSRE
TipoSensoriamento Remoto da Amazônia
Arranjo 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Assessment of image...
Arranjo 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Assessment of image...
Conteúdo da Pasta docacessar
Conteúdo da Pasta source
thiago_silva.pdf 23/11/2006 09:20 2.1 MiB
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/dpi.inpe.br/sbsr@80/2006/11.23.11.20
URL dos dados zipadoshttp://urlib.net/zip/dpi.inpe.br/sbsr@80/2006/11.23.11.20
Idiomaen
Arquivo Alvo6969-6976.pdf
Grupo de Usuáriosadministrator
erich@sid.inpe.br
lise@dpi.inpe.br
marciana
Visibilidadeshown
Detentor da CópiaSID/SCD
Permissão de Leituraallow from all
5. Fontes relacionadas
VinculaçãoTrabalho Vinculado à Tese/Dissertação
Repositório Espelhodpi.inpe.br/sbsr@80/2006/08.14.13.30
Unidades Imediatamente Superiores8JMKD3MGPCW/3EQCCU5
8JMKD3MGPCW/3ER446E
Lista de Itens Citandosid.inpe.br/mtc-m21/2012/07.13.14.45.43 1
Acervo Hospedeirodpi.inpe.br/banon/2003/12.10.19.30
6. Notas
Agência FinanciadoraCAPES
Nota1
Campos Vaziosarchivingpolicy archivist callnumber contenttype copyright creatorhistory descriptionlevel dissemination documentstage doi edition identifier issn label lineage nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup rightsholder schedulinginformation secondarydate secondarymark serieseditor shorttitle url versiontype volume


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