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Registro Completo |
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Biblioteca(s): |
Embrapa Territorial. |
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Data corrente: |
23/09/2003 |
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Data da última atualização: |
30/07/2014 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
BATISTELLA, M.; LU, D. |
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Afiliação: |
Embrapa Monitoramento por Satélite; Indiana University-CIPEC. |
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Título: |
Integrating field data and remote sensing to identify secondary succession stages in the Amazon. |
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Ano de publicação: |
2002 |
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Fonte/Imprenta: |
In: INTERNATIONAL SYMPOSIUM ON REMOTE SENSING OF ENVIRONMENT, 29., 2002, Buenos Aires-Argentina. Anais... Buenos Aires: ISPRS, 2002. 4p. |
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Descrição Física: |
folhas avulsas, il. |
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Idioma: |
Inglês |
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Conteúdo: |
Secondary succession (SS) of tropical forest ecosystems follows disturbances such as deforestation. Sharp distinctions between SS stages are often artificial, but useful in Land-Use/Land-Cover (LULC) classifications. In this paper, results for vegetation structure in Rondônia, Brazilian Amazon, are presented as a basis for discussing the reflectance of SS stages when using Landsat TM imagery. Vegetation structure data were collected through 32 surveys encompassing initial SS (SS1), intermediate SS (SS2), advanced SS (SS3), and forest. The results informed the classification of a TM image acquired in 1998. Statistical analyses were performed. SS1, SS2, SS3, and forest were well separated when using solely the data for vegetation structure (p<0.001). However, analyses of reflectance on selected TM bands allowed the separation of only three of these classes (SS1 and SS2 mixed together, SS3, and forest). These findings contribute to the spatialtemporal monitoring of Amazonian landscapes and their LULC dynamics. |
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Palavras-Chave: |
Amazonas. |
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Thesagro: |
Desmatamento; Floresta Tropical Úmida; Sensoriamento Remoto. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/105670/1/849.pdf
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Marc: |
LEADER 01658nam a2200181 a 4500
001 1016844
005 2014-07-30
008 2002 bl uuuu u00u1 u #d
100 1 $aBATISTELLA, M.
245 $aIntegrating field data and remote sensing to identify secondary succession stages in the Amazon.
260 $aIn: INTERNATIONAL SYMPOSIUM ON REMOTE SENSING OF ENVIRONMENT, 29., 2002, Buenos Aires-Argentina. Anais... Buenos Aires: ISPRS, 2002. 4p.$c2002
300 $cfolhas avulsas, il.
520 $aSecondary succession (SS) of tropical forest ecosystems follows disturbances such as deforestation. Sharp distinctions between SS stages are often artificial, but useful in Land-Use/Land-Cover (LULC) classifications. In this paper, results for vegetation structure in Rondônia, Brazilian Amazon, are presented as a basis for discussing the reflectance of SS stages when using Landsat TM imagery. Vegetation structure data were collected through 32 surveys encompassing initial SS (SS1), intermediate SS (SS2), advanced SS (SS3), and forest. The results informed the classification of a TM image acquired in 1998. Statistical analyses were performed. SS1, SS2, SS3, and forest were well separated when using solely the data for vegetation structure (p<0.001). However, analyses of reflectance on selected TM bands allowed the separation of only three of these classes (SS1 and SS2 mixed together, SS3, and forest). These findings contribute to the spatialtemporal monitoring of Amazonian landscapes and their LULC dynamics.
650 $aDesmatamento
650 $aFloresta Tropical Úmida
650 $aSensoriamento Remoto
653 $aAmazonas
700 1 $aLU, D.
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