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1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemtc-m21b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34P/3MJUM7L
Repositóriosid.inpe.br/mtc-m21b/2016/10.12.23.09
Última Atualização2018:04.26.15.32.57 (UTC) marciana@sid.inpe.br
Repositório de Metadadossid.inpe.br/mtc-m21b/2016/10.12.23.09.06
Última Atualização dos Metadados2021:02.24.02.57.19 (UTC) administrator
Chave SecundáriaINPE--PRE/
Rótuloself-archiving-INPE-MCTIC-GOV-BR
Chave de CitaçãoShimabukuroDuAnArVaSaAu:2004:DeDeBr
TítuloDeforestation detection in brazilian amazon region in a near real time using terra modis daily data
Ano2004
Data de Acesso12 maio 2024
Tipo SecundárioPRE CI
Número de Arquivos1
Tamanho748 KiB
2. Contextualização
Autor1 Shimabukuro, Yosio Edemir
2 Duarte, Valdete
3 Anderson, L. O.
4 Arai, Egidio
5 Valeriano, Dalton Morrison
6 Santo, F. D. B. E.
7 Aulicino, L. C. M. De
Grupo1 DSR-INPE-MCT-BR
2 DSR-INPE-MCT-BR
3
4 DSR-INPE-MCT-BR
5 DSR-INPE-MCT-BR
Endereço de e-Mailmarciana@sid.inpe.br
Nome do EventoInternational Geoscience and Remote Sensing Symposium, 5. (IGARSS)
Localização do EventoAnchorage, AK
Data20 - 24 Sept. 2004
Editora (Publisher)IEEE
Páginas3405-3408
Título do LivroProceedings
OrganizaçãoIEEE; IEEE Geoscience and Remote Sensing Society; The Geophysical Institute of the University of Alaska Fairbanks; University of Missouri-Columbia; National Aeronautics and Space Administration, NASA
Histórico (UTC)2018-04-26 15:32:57 :: marciana@sid.inpe.br -> administrator :: 2004
2021-02-24 02:57:19 :: administrator -> marciana@sid.inpe.br :: 2004
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveAlgorithms
Data reduction
Geographic information systems
Image analysis
Project management
Remote sensing
Vegetation
Amazon region
MODIS sensors
Spatial resolution
Surface reflectance
Deforestation
Algorithms
Data Processing
Deforestation
GIS
Image Analysis
Plants
Remote Sensing
ResumoThis paper presents a methodology for detecting deforestation activities in a near real time using Terra MODIS daily data. This work is part of the operational PRODES Project of INPE (Brazil) that estimates the annual deforestation in Brazilian Amazon. The detection of deforested areas by MODIS daily data is a useful information for enforcement of forest protection laws. The proposed methodology, named "DETER" Project, will follow the dynamics of deforestation activities while the PRODES Digital project is evaluating the total area deforested during the study year using higher spatial resolution data. For the development of this methodology, it was used a temporal series of MODIS MOD09 product (surface reflectance) from June to October over an area covered by one Landsat ETM+ scene located in Mato Grosso State, Brazilian Amazon region. The obtained results were compared to the corresponding Landsat ETM+ images acquired in the same dates of MODIS images. The small deforestation areas (lower than 15 ha) are detected with less accuracy by MODIS. As the areas deforested increases, the MODIS results come near to the ETM+ results. The results showed that MODIS sensor daily data can be used for an operational deforestation detection in the Brazilian Amazon.
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4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP3W34P/3MJUM7L
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W34P/3MJUM7L
Idiomaen
Grupo de Usuáriosmarciana@sid.inpe.br
Grupo de Leitoresadministrator
marciana@sid.inpe.br
Visibilidadeshown
Permissão de Leituraallow from all
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Repositório Espelhosid.inpe.br/mtc-m21b/2013/09.26.14.25.22
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
Lista de Itens Citando
Acervo Hospedeirosid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notas
Campos Vaziosaffiliation archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi edition editor electronicmailaddress format isbn issn lineage mark nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project publisheraddress resumeid rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject targetfile tertiarymark tertiarytype type url volume
7. Controle da descrição
e-Mail (login)marciana@sid.inpe.br
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