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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m16b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador6qtX3pFwXQZGivnK2Y/Nvo7q
Repositóriosid.inpe.br/mtc-m17@80/2006/12.19.13.24.38   (acesso restrito)
Última Atualização2006:12.19.13.24.37 (UTC) marciana
Repositório de Metadadossid.inpe.br/mtc-m17@80/2006/12.19.13.24.39
Última Atualização dos Metadados2018:06.05.03.44.43 (UTC) administrator
Chave SecundáriaINPE-14454-PRE/9524
DOI10.1016/j.rse.2005.12.017
ISSN0034-4257
Chave de CitaçãoCarreirasPereCampShim:2006:AsExAg
TítuloAssessing the extent of agriculture/pasture and secondary succession forest in the Brazilian Legal Amazon using SPOT VEGETATION data
ProjetoCaracterização Espectral da Vegetação
Ano2006
MêsApr.
Data de Acesso17 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho608 KiB
2. Contextualização
Autor1 Carreiras, João M. B.
2 Pereira, José M. C.
3 Campagnolo, Manuel L.
4 Shimabukuro, Yosio Edemir
Identificador de Curriculo1
2
3
4 8JMKD3MGP5W/3C9JJCQ
Grupo1
2
3
4 DSR-INPE-MCT-BR
Afiliação1 Department of Forestry, Instituto Superior de Agronomia, Tapada da Ajuda, 1349-017 Lisboa, Portugal
2 Department of Forestry, Instituto Superior de Agronomia, Tapada da Ajuda, 1349-017 Lisboa, Portugal
3 Department of Mathematics, Instituto Superior de Agronomia, Tapada da Ajuda, 1349-017 Lisboa, Portugal
4 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1
2
3
4 yosio@ltid.inpe.br
RevistaRemote Sensing of Environment
Volume101
Número3
Páginas283-298
Histórico (UTC)2007-03-22 14:35:39 :: vinicius -> administrator ::
2008-06-29 02:30:09 :: administrator -> vinicius ::
2011-10-31 11:19:01 :: vinicius -> administrator :: 2006
2012-10-22 21:05:16 :: administrator -> vinicius :: 2006
2013-02-20 16:29:37 :: vinicius -> administrator :: 2006
2016-06-04 21:39:19 :: administrator -> marciana :: 2006
2016-08-17 17:03:33 :: marciana -> administrator :: 2006
2018-06-05 03:44:43 :: administrator -> marciana :: 2006
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-ChaveVEGETAÇÃO
Brazilian Legal Amazon (BLA)
agriculture
pasture
secondary succession forest
SPOT-4
vegetation
supervised classification land-cover change
biosphere-atmosphere experiment
NOAA AVHRR data
tropical forest
accuracy assessment
eastern amazonia
satellite data
prior probabilities
abandoned pastures
ResumoThere has been growing concern about land use/land cover change in tropical regions, as there is evidence of its influence on the observed increase in atmospheric carbon dioxide concentration and consequent climatic changes. Mapping of deforestation by the Brazil's National Space Research Institute (INPE) in areas of primary tropical forest using satellite data indicates a value of 587,727 km(2) up to the year 2000. Although most of the efforts have been concentrated in mapping primary tropical forest deforestation, there is also evidence of large-scale deforestation in the cerrado savanna, the second most important biome in the region. The main purpose of this work was to assess the extent of agriculture/pasture and secondary succession forest in the Brazilian Legal Amazon (BLA) in 2000, using a set of multitemporal images from the 1-km SPOT-4 VEGETATION (VGT) sensor. Additionally, we discriminated primary tropical forest, cerrado savanna, and natural/artificial waterbodies. Four classification algorithms were tested: quadratic discriminant analysis (QDA), simple classification trees (SCT), probability-bagging classification trees (PBCT), and k-nearest neighbors (K-NN). The agriculture/ pasture class is a surrogate for those areas cleared of its original vegetation cover in the past, acting as a source of carbon. On the contrary, the secondary succession forest class behaves as a sink of carbon. We used a time series of 12 monthly composite images of the year 2000, derived from the SPOT-4 VGT sensor. A set of 19 Landsat scenes was used to select training and testing data. A 10-fold cross validation procedure rated PBCT as the best classification algorithm, with an overall sample accuracy of 0.92. High omission and commission errors occurred in the secondary succession forest class, due to confusion with agriculture/pasture and primary tropical forest classes. However, the PBCT algorithm generated the lower misclassification error in this class. Besides, this algorithm yields information about class membership probability, with similar to 80% of the pixels with class membership probability greater or equal than 0.8. The estimated total area of agriculture/pasture and secondary succession forest in 2000 in the BLA was 966 x 103 and 140 x 103 king, respectively. Comparison with an existing land cover map indicates that agriculture/pasture occurred primarily in areas previously occupied by primary tropical forest (46%) and cerrado savanna (33%), and also in transition forest (19%), and other vegetation types (2%). This further confines the existing evidence of extensive cerrado savanna conversion. This study also concludes that SPOT-4 VGT data are adequate for discriminating several major land cover types in tropical regions. Agriculture/pasture was mapped with errors of about 5%. Very high classification errors were associated with secondary succession forest, suggesting that a different methodology/sensor has to be used to address this difficult land cover class (namely with the inclusion of ancillary data). For the other classes, we consider that accurate maps can be derived from SPOT-4 VGT data with errors lower than 20% for the cerrado savanna, and errors lower than 10% for the other land cover classes. These estimates may be useful to evaluate impacts of land use/land cover change on the carbon and water cycles, biotic diversity, and soil degradation. (c) 2006 Elsevier Inc. All rights reserved.
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Conteúdo da Pasta docacessar
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Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
Idiomaen
Arquivo Alvocarreiras - assessing.pdf
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5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
DivulgaçãoWEBSCI; PORTALCAPES; MGA; COMPENDEX.
Acervo Hospedeirolcp.inpe.br/ignes/2004/02.12.18.39
cptec.inpe.br/walmeida/2003/04.25.17.12
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress rightsholder schedulinginformation secondarydate secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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