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Registro Completo |
Biblioteca(s): |
Embrapa Semiárido. |
Data corrente: |
21/10/2005 |
Data da última atualização: |
21/11/2018 |
Tipo da produção científica: |
Folder/Folheto/Cartilha |
Autoria: |
LAL, H. |
Afiliação: |
HARBANS LAL, Consultor CPATSA. |
Título: |
Trip report to "Agreste" region of Northeast Brasil. |
Ano de publicação: |
1979 |
Fonte/Imprenta: |
Petrolina: EMBRAPA-CPATSA, 1979. |
Páginas: |
12 p. |
Idioma: |
Inglês |
Conteúdo: |
Farmers with small land holdings and using hand tools and manual power; Farmers with medium land holding and using animal traction. |
Palavras-Chave: |
Agricultural mechanization; Nordeste; Relatório. |
Thesagro: |
Mecanização agrícola; Tração Animal. |
Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/186570/1/FL-02399.pdf
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Marc: |
LEADER 00600nam a2200181 a 4500 001 1156261 005 2018-11-21 008 1979 bl uuuu u0uu1 u #d 100 1 $aLAL, H. 245 $aTrip report to "Agreste" region of Northeast Brasil. 260 $aPetrolina: EMBRAPA-CPATSA$c1979 300 $a12 p. 520 $aFarmers with small land holdings and using hand tools and manual power; Farmers with medium land holding and using animal traction. 650 $aMecanização agrícola 650 $aTração Animal 653 $aAgricultural mechanization 653 $aNordeste 653 $aRelatório
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Embrapa Semiárido (CPATSA) |
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Registro Completo
Biblioteca(s): |
Embrapa Territorial. |
Data corrente: |
23/09/2003 |
Data da última atualização: |
30/07/2014 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
BATISTELLA, M.; LU, D. |
Afiliação: |
Embrapa Monitoramento por Satélite; Indiana University-CIPEC. |
Título: |
Integrating field data and remote sensing to identify secondary succession stages in the Amazon. |
Ano de publicação: |
2002 |
Fonte/Imprenta: |
In: INTERNATIONAL SYMPOSIUM ON REMOTE SENSING OF ENVIRONMENT, 29., 2002, Buenos Aires-Argentina. Anais... Buenos Aires: ISPRS, 2002. 4p. |
Descrição Física: |
folhas avulsas, il. |
Idioma: |
Inglês |
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. |
Palavras-Chave: |
Amazonas. |
Thesagro: |
Desmatamento; Floresta Tropical Úmida; Sensoriamento Remoto. |
Categoria do assunto: |
-- |
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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