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Registro Completo |
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Biblioteca(s): |
Embrapa Territorial. |
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Data corrente: |
12/05/2006 |
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Data da última atualização: |
15/10/2014 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
LU, D.; MAUSEL, P.; BATISTELLA, M.; MORAN, E. |
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Afiliação: |
Indiana University-CIPEC (1, 3-4); Embrapa Monitoramento por Satélite (2). |
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Título: |
Land-cover binary change detection methods for use in the moist tropical regiona of the Amazon: a comparative study. |
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Ano de publicação: |
2005 |
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Fonte/Imprenta: |
International Journal of Remote Sensing, v. 26, n. 1, jan. 2005, p. 101-114. |
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Páginas: |
14 p. |
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Descrição Física: |
folhas avulsas |
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DOI: |
10. 10S0I0143 li 60410001720748 |
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Idioma: |
Inglês |
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Conteúdo: |
Many land-cover change detection techniques have been developed; however, different conclusions about the value or appropriateness of each exist. This difference of opinion is often influenced by the landscape complexity of study areas and data used for analysis. Which method is most suitable for land-cover change detection in Amazon tropical regions remains unclear. ln this paper, 10 binary change detection methods were implemented and compared with respect to their capability to detect land-cover change and no change conditions in moist tropical regions. They are image differencing (ID), modified image differencing (MID), a combination of image differencing and principal component analysis (IDPCA), principal component differencing (PCD), multitemporal PCA (MPCA), change vector analysis (CVA), vegetation index differencing (VID), image ratioing (IR), modified image ratioing (MIR), and a combination of image ratioing and PCA (lRPCA). Multi-temporal Thematic Mapper (TM) data were used to conduct land-cover binary change detection. Research results indicate that MID, PCD and ID using TM band 5 are significant1y better than other binary change detection methods and they are recommended specifically for implementation in the Amazon basin. |
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Palavras-Chave: |
Amazonas; Monitoramento; Região Amazônica. |
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Thesagro: |
Satélite; Vegetação. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/109991/1/1800.pdf
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Marc: |
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001 1017488
005 2014-10-15
008 2005 bl uuuu u00u1 u #d
024 7 $a10. 10S0I0143 li 60410001720748$2DOI
100 1 $aLU, D.
245 $aLand-cover binary change detection methods for use in the moist tropical regiona of the Amazon$ba comparative study.
260 $c2005
300 $a14 p.$cfolhas avulsas
520 $aMany land-cover change detection techniques have been developed; however, different conclusions about the value or appropriateness of each exist. This difference of opinion is often influenced by the landscape complexity of study areas and data used for analysis. Which method is most suitable for land-cover change detection in Amazon tropical regions remains unclear. ln this paper, 10 binary change detection methods were implemented and compared with respect to their capability to detect land-cover change and no change conditions in moist tropical regions. They are image differencing (ID), modified image differencing (MID), a combination of image differencing and principal component analysis (IDPCA), principal component differencing (PCD), multitemporal PCA (MPCA), change vector analysis (CVA), vegetation index differencing (VID), image ratioing (IR), modified image ratioing (MIR), and a combination of image ratioing and PCA (lRPCA). Multi-temporal Thematic Mapper (TM) data were used to conduct land-cover binary change detection. Research results indicate that MID, PCD and ID using TM band 5 are significant1y better than other binary change detection methods and they are recommended specifically for implementation in the Amazon basin.
650 $aSatélite
650 $aVegetação
653 $aAmazonas
653 $aMonitoramento
653 $aRegião Amazônica
700 1 $aMAUSEL, P.
700 1 $aBATISTELLA, M.
700 1 $aMORAN, E.
773 $tInternational Journal of Remote Sensing$gv. 26, n. 1, jan. 2005, p. 101-114.
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