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 | Acesso ao texto completo restrito à biblioteca da Embrapa Pantanal. Para informações adicionais entre em contato com cpap.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Pantanal. |
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Data corrente: |
26/04/2000 |
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Data da última atualização: |
31/03/2017 |
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Autoria: |
SILVA, J. dos S. V. da; ABDON, M. de M. |
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Afiliação: |
EMBRAPA Pantanal (Corumba, MS); INPE-DSR (Sao Jose dos Campos, SP). |
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Título: |
RADARSAT-SAR in the Pantanal wetlands brazilian. |
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Ano de publicação: |
1999 |
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Fonte/Imprenta: |
In: GLOBESAR 2 FINAL SYMPOSIUM, 1999, Buenos Aires. RADARSAT Applications in Latin America. Buenos Aires: RADARSAT International, 1999. p.141-159. |
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Idioma: |
Inglês |
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Notas: |
Texto em portugues. |
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Conteúdo: |
The objective of this study is to evaluate RADARSAT images to identify flooded areas and to discriminate vegetation types in two test areas of the Pantanal (Nhecolandia subregion and Nabileque subregion). Four RADARSAT S2D images, SAR standard mode 2 beam, path image (SGF) type, pixels spaced 12,5 x 12,5 m, Georreferenced Information Processing System (SPRING) and Image Processing System (PCI v. 6.2.2) were used. As field truth the mappings effected for the region were used, increased of field works. The interpretation of the radar images was in visual mode after processed. The color composition offered better results than original images allowing to identify areas with "Cerradao" woodland (Forested Savanna) and Grassland (Woody Grassy Savanna) for the Nhecolandia area and "Mata" (Forested vegetation), "Carandazal" (Copernicia alba), Grassland, Planted pasture and more two types of Marshes for the Nabileque area. The flooded areas were identified in water courses, marshes, dry area, moisture area, flooded area, ponds or salt-lakes without emergent plants, ponds with emergent plants and ponds in process of drought with herbaceous and shrub plants. The difference of pasture use was accented in the image of the flood season. Its not possible to identify flooded areas under dense forested vegetation and under dense shrub plants for the two tested areas. |
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Palavras-Chave: |
Areas alagadas; RADARSAT; Wetland. |
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Thesagro: |
Sensoriamento Remoto. |
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Thesaurus NAL: |
Brazil; Pantanal; remote sensing. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02062naa a2200229 a 4500
001 1800298
005 2017-03-31
008 1999 bl --- 0-- u #d
100 1 $aSILVA, J. dos S. V. da
245 $aRADARSAT-SAR in the Pantanal wetlands brazilian.
260 $c1999
500 $aTexto em portugues.
520 $aThe objective of this study is to evaluate RADARSAT images to identify flooded areas and to discriminate vegetation types in two test areas of the Pantanal (Nhecolandia subregion and Nabileque subregion). Four RADARSAT S2D images, SAR standard mode 2 beam, path image (SGF) type, pixels spaced 12,5 x 12,5 m, Georreferenced Information Processing System (SPRING) and Image Processing System (PCI v. 6.2.2) were used. As field truth the mappings effected for the region were used, increased of field works. The interpretation of the radar images was in visual mode after processed. The color composition offered better results than original images allowing to identify areas with "Cerradao" woodland (Forested Savanna) and Grassland (Woody Grassy Savanna) for the Nhecolandia area and "Mata" (Forested vegetation), "Carandazal" (Copernicia alba), Grassland, Planted pasture and more two types of Marshes for the Nabileque area. The flooded areas were identified in water courses, marshes, dry area, moisture area, flooded area, ponds or salt-lakes without emergent plants, ponds with emergent plants and ponds in process of drought with herbaceous and shrub plants. The difference of pasture use was accented in the image of the flood season. Its not possible to identify flooded areas under dense forested vegetation and under dense shrub plants for the two tested areas.
650 $aBrazil
650 $aPantanal
650 $aremote sensing
650 $aSensoriamento Remoto
653 $aAreas alagadas
653 $aRADARSAT
653 $aWetland
700 1 $aABDON, M. de M.
773 $tIn: GLOBESAR 2 FINAL SYMPOSIUM, 1999, Buenos Aires. RADARSAT Applications in Latin America. Buenos Aires: RADARSAT International, 1999. p.141-159.
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