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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m12.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador6qtX3pFwXQZ3r59YD6/GNTmS
Repositóriosid.inpe.br/iris@1912/2005/07.19.20.28.50   (acesso restrito)
Última Atualização2015:09.23.18.23.55 (UTC) marciana
Repositório de Metadadossid.inpe.br/iris@1912/2005/07.19.20.28.52
Última Atualização dos Metadados2018:06.05.00.52.09 (UTC) administrator
Chave SecundáriaINPE-8127-PRE/3940
DOI10.1016/S0034-4257(96)00153-8
ISSN0034-4257
Rótulo8298
Chave de CitaçãoSaatchiSoarAlve:1997:MaDeLa
TítuloMapping deforestation and land use in Amazon rainforest using SIR-C imagery
Ano1997
Data Secundária19990426
Data de Acesso12 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho1192 KiB
2. Contextualização
Autor1 Saatchi, Sasan S.
2 Soares, João Vianei
3 Alves, Diogenes Salas
Grupo1
2 DSR-INPE-MCT-BR
3 DPI-INPE-MCT-BR
Afiliação1 Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
RevistaRemote Sensing of Environment
Volume39
Número2
Páginas191-202
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
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-ChaveAgriculture
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
ResumoIn 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.
ÁreaSRE
Arranjo 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Mapping deforestation and...
Arranjo 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Mapping deforestation and...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
Idiomaen
Arquivo Alvo1997_saatchi.pdf
Grupo de Usuáriosadministrator
jefferson
marciana
Grupo de Leitoresadministrator
marciana
Visibilidadeshown
Detentor da CópiaSID/SCD
Política de Arquivamentodenypublisher allowfinaldraft24
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3EQCCU5
8JMKD3MGPCW/3ER446E
DivulgaçãoWEBSCI; PORTALCAPES; MGA; COMPENDEX.
Acervo Hospedeirosid.inpe.br/banon/2001/04.06.10.52
6. Notas
Campos Vaziosalternatejournal 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
7. Controle da descrição
e-Mail (login)marciana
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