| 1. Identificação | |
| Tipo de Referência | Artigo em Evento (Conference Proceedings) |
| Site | mtc-m12.sid.inpe.br |
| Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Identificador | 6qtX3pFwXQZ3r59YD6/GPhGv |
| Repositório | sid.inpe.br/iris@1912/2005/07.20.10.48.51 |
| Última Atualização | 2015:09.16.13.13.48 (UTC) marciana |
| Repositório de Metadados | sid.inpe.br/iris@1912/2005/07.20.10.49 |
| Última Atualização dos Metadados | 2018:06.05.00.52.49 (UTC) administrator |
| Chave Secundária | INPE-6521-PRE/2560 |
| Rótulo | 7880 |
| Chave de Citação | SoaresSantKunt:1996:InDaMu |
| Título | Integracao de dados multiespectrais Landsat-5 TM com imagens SAR JERS-1, para fins cartograficos  |
| Ano | 1996 |
| Data Secundária | 19980131 |
| Data de Acesso | 03 maio 2024 |
| Tipo Secundário | PRE CI |
| Número de Arquivos | 1 |
| Tamanho | 13749 KiB |
| 2. Contextualização | |
| Autor | 1 Soares, Sergio Monteiro 2 Sant'Anna, Sidnei Joao Siqueira 3 Kuntschik, Gerardo |
| Grupo | 1 DPI-INPE-MCT-BR |
| Nome do Evento | Latin-American Seminar on Radar Sensing, 1. |
| Localização do Evento | Buenos Aires, AR |
| Data | 2-4 dec. 1996 |
| Páginas | 115-123 |
| Organização | CONAE/INPE/ESA/SELPER/CIDA/DI-UFPe |
| Histórico (UTC) | 2008-06-09 21:49:59 :: administrator -> jefferson :: 2010-07-07 18:52:52 :: jefferson -> administrator :: 2015-04-16 13:23:10 :: administrator -> marciana :: 1996 2015-09-16 13:13:48 :: marciana -> administrator :: 1996 2018-06-05 00:52:49 :: administrator -> marciana :: 1996 |
| 3. Conteúdo e estrutura | |
| É a matriz ou uma cópia? | é a matriz |
| Estágio do Conteúdo | concluido |
| Transferível | 1 |
| Tipo do Conteúdo | External Contribution |
| Resumo | In several brazilian areas, mainly in some rain forest regions, where have cloud coverage trouble, all year long, the sistematic mapping is delay in time. In some those areas there aren't any cartographic document, in sistematic scales (1:500.000, 1:250.000, 1:100.000, 1:50.000 and 1:25.000)be able to represent them planialtimetricly. Those facts are due mainly by the following reasons: a)The absent of aerial photographics, because the wheather conditions, all year long, doesn't permit to take them; b)By the same reason, the analysis and interpretation of the satellites images, like LANDSAT-TM or SPOT, can not be performed for natural and artificial targets identification, on the surface of the Earth, to possibility the manufacturing the images-charts inside the visible spectrum; c)The only use of SAR images can not identify all the targets, cartographicly representable, on a image-chart, even though such SAR images have no inconvenient of cloud coverage. The aim of this work is show what the digital images processing can efficiently do, thru Main Components proceedings, filtering, IHS Compositions, Resample of SAR data over TM data and visualization in RGB space to better geometric identification of targets, be able to build a image chart without clouds coverage, which one was removed by these digital operations, if the a specific algorithm was follow, like will be describe in this paper. In work by Sanabria (1995)before it, make the data integration with the same purpose using multispectrals SAR data by ERS-1. In this work, using the analog methodology, varying the type of data, sequence of procedures, type and sequence of filtering and incorporating a classification of the hibrid final product, was used SAR-images, in L band, polarization HH from JERS-1 Satellite. The choice for JERS-1 SAR-images in L band, against the SAR-images from ERS-1 in C band, was made by the higher penetration of the L band inside the canoppy of the rain forest, permiting the better analysis of the geomorfology of the ground, in regions where cloud coverage, all year long, doesn't permit the conventional cartographic methods. The computational environment was made over the IDL and ENVI softwares, using graphical workstations, in all digital operations, since colect data from the tape devices, until creating the plotting files, as a final product, resulted of mixing TM data with SAR data, in all graphical formats, be able to build the base for production in large scale of images-charts, neither TM, nor SAR, but a composition of these data, removing the clouds effects from the TM data. These products can be used for paper image-chart or even for use like a data base for Geographical System Information, in geoprocessing analysis. |
| Área | SRE |
| Arranjo | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Integracao de dados... |
| 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/6qtX3pFwXQZ3r59YD6/GPhGv |
| URL dos dados zipados | http://urlib.net/zip/6qtX3pFwXQZ3r59YD6/GPhGv |
| Arquivo Alvo | 1996_soares.pdf |
| Grupo de Usuários | administrator marciana |
| Grupo de Leitores | administrator marciana |
| Visibilidade | shown |
| Permissão de Leitura | allow from all |
| Permissão de Atualização | não transferida |
| 5. Fontes relacionadas | |
| Unidades Imediatamente Superiores | 8JMKD3MGPCW/3EQCCU5 |
| Acervo Hospedeiro | sid.inpe.br/banon/2001/04.06.10.52 |
| 6. Notas | |
| Campos Vazios | affiliation archivingpolicy archivist booktitle callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor electronicmailaddress format isbn issn keywords language lineage mark mirrorrepository nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress resumeid rightsholder schedulinginformation secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url versiontype volume |
| 7. Controle da descrição | |
| e-Mail (login) | marciana |
| atualizar | |