| 1. Identificação | ||||
| Tipo de Referência | Artigo em Evento (Conference Proceedings) | |||
| Site | mtc-m16d.sid.inpe.br | |||
| Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identificador | 8JMKD3MGP7W/395S4HS | |||
| Repositório | sid.inpe.br/mtc-m19/2011/02.08.12.04 | |||
| Última Atualização | 2011:02.08.12.12.32 (UTC) administrator | |||
| Repositório de Metadados | sid.inpe.br/mtc-m19/2011/02.08.12.04.47 | |||
| Última Atualização dos Metadados | 2018:06.05.04.35.29 (UTC) administrator | |||
| Chave Secundária | INPE--PRE/ | |||
| ISSN | 1682-1777 | |||
| Chave de Citação | CintraNovRegCosFei:2010:MoAtRa | |||
| Título | Pimar project - monitoring the atlantic rainforest remnants and the urban growth of the rio de janeiro city (brazil) through remote sensing  | |||
| Ano | 2010 | |||
| Data de Acesso | 10 maio 2024 | |||
| Tipo Secundário | PRE CI | |||
| Número de Arquivos | 1 | |||
| Tamanho | 440 KiB | |||
| 2. Contextualização | ||||
| Autor | 1 Cintra, D. P. 2 Novack, T. 3 Rego., L. F. G. 4 Costa, G. A. O. P. 5 Feitosa, R. Q. | |||
| Grupo | 1 2 DSR-OBT-INPE-MCT-BR | |||
| Afiliação | 1 Department of Geography, Pontifical Catholic University of Rio de Janeiro 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Department of Geography, Pontifical Catholic University of Rio de Janeiro 4 Department of Electrical Engineering, Pontifical Catholic University of Rio de Janeiro 5 Department of Electrical Engineering, Pontifical Catholic University of Rio de Janeiro | |||
| Editor | Coillie, E. A. Addink and F. M. B. Van | |||
| Nome do Evento | Geographic Object-Based Image Analysis (GEOBIA 2010). | |||
| Localização do Evento | Ghent, Belgium | |||
| Data | 2010 | |||
| Editora (Publisher) | ISPRS Working Groups | |||
| Volume | 38-4/C7 | |||
| Título do Livro | Proceedings | |||
| Histórico (UTC) | 2011-02-08 12:13:09 :: marciana -> administrator :: 2010 2018-06-05 04:35:29 :: administrator -> marciana :: 2010 | |||
| 3. Conteúdo e estrutura | ||||
| É a matriz ou uma cópia? | é a matriz | |||
| Estágio do Conteúdo | concluido | |||
| Transferível | 1 | |||
| Tipo do Conteúdo | External Contribution | |||
| Palavras-Chave | Land Cover Classification Rainforest Monitoring Object-Based Image Analysis InterIMAGE System | |||
| Resumo | The PIMAR Project - Program for Monitoring the Atlantic Rainforest Environment and Urban Growth of Rio de Janeiro through Remote Sensing, aims at the development of an operational methodology for monitoring the land cover dynamics on the borders between Atlantic rainforest remnant areas and urban areas in the city of Rio de Janeiro, Brazil. The project will aid the Government of Rio de Janeiro State in the implementation of actions against aggressions to those forested areas and in the definition of urban development and environmental planning policies. The basic input for the methodology is a sequence of stereo pairs of IKONOS images, from which both the vertical and horizontal growth of urban areas are being measured by visual interpretation on a multitemporal basis. The PIMAR Project is currently evaluating the use of an automatic classification model as a way to accelerate land cover change information production to support decision making. This paper presents the first results obtained when applying the prototype of the model in the projects test-site. Such classification model has been developed and tested within the InterIMAGE system, which is an open-source knowledge and object-based classification system. The automatic classification model is being elaborated considering that an user would have only to collect samples of every land cover class to have, after running the model, the land cover map delivered. The presented prototype model uses the C4.5 algorithm, commonly used spectral features and a simple semantic net for performing the land cover classification of the test-site. The visual analysis and the global and per-class accuracy indexes suggest that the automatically made classification is satisfactorily accurate and has potential for significantly reduce the photo-interpreters work. A Global Accuracy of 81% was obtained as well as a Kappa Index of 0.61. Important classes Vegetated Areas and Urban areas achieved above 75% user and producers accuracies. | |||
| Área | SRE | |||
| Arranjo | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Pimar project -... | |||
| Conteúdo da Pasta doc | acessar | |||
| Conteúdo da Pasta source | não têm arquivos | |||
| Conteúdo da Pasta agreement |
| |||
| 4. Condições de acesso e uso | ||||
| URL dos dados | http://urlib.net/ibi/8JMKD3MGP7W/395S4HS | |||
| URL dos dados zipados | http://urlib.net/zip/8JMKD3MGP7W/395S4HS | |||
| Idioma | en | |||
| Arquivo Alvo | cintra.pdf | |||
| Grupo de Usuários | administrator marciana | |||
| Visibilidade | shown | |||
| Permissão de Atualização | não transferida | |||
| 5. Fontes relacionadas | ||||
| Vinculação | Trabalho Vinculado à Tese/Dissertação | |||
| Repositório Espelho | sid.inpe.br/mtc-m19@80/2009/08.21.17.02.53 | |||
| Unidades Imediatamente Superiores | 8JMKD3MGPCW/3ER446E | |||
| Lista de Itens Citando | sid.inpe.br/bibdigital/2013/09.13.21.11 1 | |||
| Acervo Hospedeiro | sid.inpe.br/mtc-m19@80/2009/08.21.17.02 | |||
| 6. Notas | ||||
| Campos Vazios | archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition electronicmailaddress format isbn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisheraddress readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarytype type url versiontype | |||
| 7. Controle da descrição | ||||
| e-Mail (login) | marciana | |||
| atualizar | ||||