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1. Identificação
Tipo de ReferênciaResumo em Evento (Conference Proceedings)
Sitemtc-m12.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador6qtX3pFwXQZ3r59YD6/GPa5a
Repositóriosid.inpe.br/iris@1912/2005/07.20.04.49
Última Atualização2015:11.16.11.15.01 (UTC) marciana
Repositório de Metadadossid.inpe.br/iris@1912/2005/07.20.04.49.44
Última Atualização dos Metadados2018:06.05.00.52.37 (UTC) administrator
Chave SecundáriaINPE-6362-PRE/2436
Rótulo7699
Chave de CitaçãoBernardes:1994:UtLiMi
TítuloUtilization of linear mixing model applied to Landsat-TM data to characterize brazilian Amazon forest
Ano1994
Data Secundária19970728
Data de Acesso21 maio 2024
Tipo SecundárioPRE CI
Número de Arquivos1
Tamanho53 KiB
2. Contextualização
AutorBernardes, Sergio
GrupoSPG-INPE-MCT-BR
Nome do EventoSymposium on Resource and Environmental Monitoring.
Localização do EventoRio de Janeiro
Data26-30 Sept.1994
Páginas27
Título do LivroAbstracts
OrganizaçãoISSPRS Commission VII
Histórico (UTC)2008-06-09 21:46:12 :: administrator -> jefferson ::
2010-07-07 18:51:30 :: jefferson -> administrator ::
2015-05-18 12:37:03 :: administrator -> marciana :: 1994
2015-11-16 11:15:01 :: marciana -> administrator :: 1994
2018-06-05 00:52:37 :: administrator -> marciana :: 1994
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
ResumoThe necessity to provide periodical studies of the amazon region, characterizing its natural resources and anthropic alteration processes is a source of several Remote Sensing studies, many of them applying digital image processing techniques. Conventional methods of image classification underline, predominantly, in the spectral characteristics of the pixels, understanding them as composed by a single class of a land cover. Usually, a digital number results from integration of the responses of many targets in the ground. In this way, the signal produced by the combination, in one pixel, of two or more classes of land cover will not representative of none of them, resulting in a misunderstood classification. Therefore the spectral mixture is a limiting factor in a automatic classification approach. The aim of this work is to evaluate the use of synthetic images, obtained by a Linear Mixing Model, to characterize Brazilian amazon vegetation. The study area consists of approximately 690 Km of the Brazilian amazon, situated in the forest/savana ("cerrado")contact region, between 11R00'S and 51R00'W to 52R30'W. For the methodology implementation, a visual interpretation of Landsat-TM data was performed, identifying classes of land cover (forest, second growth forest, savanna, bare soil, ...). A Linear Mixing Model was applied to generate three synthetic images ("vegetation", "soil" and "shade"). These images will be classified using a maximum likelihood algorithm. The product of this approach will be compared with the visual interpretation in a geographic information system, generating an error matrix. Kappa coefficient of agreement will be used to determine the classification accuracy obtained with the application of this methodology. In this way, this work intends to contribute to future space-time analysis of the large amazon region, estimating deforesting and monitoring land occupation.
ÁreaSRE
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/6qtX3pFwXQZ3r59YD6/GPa5a
URL dos dados zipadoshttp://urlib.net/zip/6qtX3pFwXQZ3r59YD6/GPa5a
Arquivo AlvoINPE 6362.pdf
Grupo de Usuáriosadministrator
marciana
Grupo de Leitoresadministrator
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Visibilidadeshown
Permissão de Leituraallow from all
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Acervo Hospedeirosid.inpe.br/banon/2001/04.06.10.52
6. Notas
Campos Vaziosaffiliation archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor electronicmailaddress format isbn issn keywords language lineage mark mirrorrepository nextedition nexthigherunit 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
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