1. Identificação | |
Tipo de Referência | Artigo em Revista Científica (Journal Article) |
Site | mtc-m12.sid.inpe.br |
Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identificador | 6qtX3pFwXQZ3r59YD6/GNTmS |
Repositório | sid.inpe.br/iris@1912/2005/07.19.20.28.50 (acesso restrito) |
Última Atualização | 2015:09.23.18.23.55 (UTC) marciana |
Repositório de Metadados | sid.inpe.br/iris@1912/2005/07.19.20.28.52 |
Última Atualização dos Metadados | 2018:06.05.00.52.09 (UTC) administrator |
Chave Secundária | INPE-8127-PRE/3940 |
DOI | 10.1016/S0034-4257(96)00153-8 |
ISSN | 0034-4257 |
Rótulo | 8298 |
Chave de Citação | SaatchiSoarAlve:1997:MaDeLa |
Título | Mapping deforestation and land use in Amazon rainforest using SIR-C imagery |
Ano | 1997 |
Data Secundária | 19990426 |
Data de Acesso | 12 maio 2024 |
Tipo de Trabalho | journal article |
Tipo Secundário | PRE PI |
Número de Arquivos | 1 |
Tamanho | 1192 KiB |
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2. Contextualização | |
Autor | 1 Saatchi, Sasan S. 2 Soares, João Vianei 3 Alves, Diogenes Salas |
Grupo | 1 2 DSR-INPE-MCT-BR 3 DPI-INPE-MCT-BR |
Afiliação | 1 Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States |
Revista | Remote Sensing of Environment |
Volume | 39 |
Número | 2 |
Páginas | 191-202 |
Histórico (UTC) | 2005-07-19 20:28:52 :: administrator -> jefferson :: 2006-05-18 19:28:08 :: jefferson -> administrator :: 2008-06-09 19:13:37 :: administrator -> jefferson :: 2010-07-07 18:48:22 :: jefferson -> administrator :: 1997 2011-06-03 22:09:22 :: administrator -> marciana :: 1997 2011-10-31 11:26:00 :: marciana -> administrator :: 1997 2014-08-26 17:40:09 :: administrator -> marciana :: 1997 2015-09-23 18:23:55 :: marciana -> administrator :: 1997 2016-06-04 23:29:04 :: administrator -> marciana :: 1997 2016-09-12 14:06:23 :: marciana -> administrator :: 1997 2018-06-05 00:52:09 :: administrator -> marciana :: 1997 |
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3. Conteúdo e estrutura | |
É a matriz ou uma cópia? | é a matriz |
Estágio do Conteúdo | concluido |
Transferível | 1 |
Tipo do Conteúdo | External Contribution |
Tipo de Versão | publisher |
Palavras-Chave | Agriculture Biomass Data acquisition Errors Forestry Image analysis Mapping Polarimeters Synthetic aperture radar Deforestation Land cover mapping Radar imaging deforestation forest regeneration land use mapping rainforest regeneration remote sensing SAR Shuttle Imaging Radar C SIR-C Spaceborne Imaging Radar C supervised classification Synthetic Aperture Radar South America Amazonia |
Resumo | In this paper, the potential of spaceborne polarimetric synthetic aperture radar (SAR)data in mapping land-cover types and monitoring deforestation in tropics is studied. Here, the emphasis is placed on several clearing practices and forest regeneration that can be characterized by using the sensitivity of SAR channels to vegetation biomass and canopy structure. A supervised Bayesian classifier designed for SAR signal statistics is employed to separate five classes: primary forest, secondary forest, pasture-crops, quebrado, and disturbed forest. The L- and C-band polarimetric SAR data acquired during the shuttle imaging radar-C (SIR-C)/X-SAR space shuttle mission in 1994 are used as input data to the classifier. The results are verified by field observation and comparison with the Landsat data acquired in August of 1994. The SAR data can delineate these five classes with approximately 72accuracy. The confusion arises when separating old secondary forests from primary forest and the young ones from pasture-crops. It is shown that Landsat and SAR data carry complementary information about the vegetation structure that, when used in synergism, may increase the classification accuracy over secondary forest regrowth. When the number of land-cover types was reduced to three classes including primary forest, pasture-crops, and regrowth- disturbed forest, the accuracy of classification increased to 87. A dimensionality analysis of the classifier showed that the accuracy can be further improved to 92 by reducing the feature space to L-band HH and HV channels. Comparison of SIR-C data acquired in April (wet period)and October (dry period)indicates that multi-temporal data can be used for monitoring deforestation; however, the data acquired curing the wet season are not suitable for accurate land-cover classification. |
Área | SRE |
Arranjo 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Mapping deforestation and... |
Arranjo 2 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Mapping deforestation and... |
Conteúdo da Pasta doc | acessar |
Conteúdo da Pasta source | não têm arquivos |
Conteúdo da Pasta agreement | não têm arquivos |
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4. Condições de acesso e uso | |
Idioma | en |
Arquivo Alvo | 1997_saatchi.pdf |
Grupo de Usuários | administrator jefferson marciana |
Grupo de Leitores | administrator marciana |
Visibilidade | shown |
Detentor da Cópia | SID/SCD |
Política de Arquivamento | denypublisher allowfinaldraft24 |
Permissão de Leitura | deny from all and allow from 150.163 |
Permissão de Atualização | não transferida |
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5. Fontes relacionadas | |
Unidades Imediatamente Superiores | 8JMKD3MGPCW/3EQCCU5 8JMKD3MGPCW/3ER446E |
Divulgação | WEBSCI; PORTALCAPES; MGA; COMPENDEX. |
Acervo Hospedeiro | sid.inpe.br/banon/2001/04.06.10.52 |
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6. Notas | |
Campos Vazios | alternatejournal archivist callnumber copyright creatorhistory descriptionlevel e-mailaddress electronicmailaddress format isbn lineage mark mirrorrepository month nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder schedulinginformation secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url |
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7. Controle da descrição | |
e-Mail (login) | marciana |
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