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Registro Completo |
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Biblioteca(s): |
Embrapa Territorial. |
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Data corrente: |
17/01/2013 |
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Data da última atualização: |
17/01/2013 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
SILVA, G. B. S. da; PEREIRA, K. C.; FARIA, D. P.; SOUZA, L. C. N. DE; NOGUEIRA, S. F. |
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Afiliação: |
GUSTAVO BAYMA SIQUEIRA DA SILVA, CNPM; KARLA CONCEIÇÃO PEREIRA, SAA-APTA; DANIELA PAULA FARIA, UFPR; LAYS CAROLLINE NEGRI DE SOUZA, BOLSISTA CNPM; SANDRA FURLAN NOGUEIRA, CNPM. |
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Título: |
Mapeamento de classes de declividade da sede do Polo Regional de Desenvolvimento Tecnológico dos Agronegócios do Vale do Paraíba, em Pindamonhangaba (SP). |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
In: SYMPOSIUM SOCIEDADE DE ESPECIALISTAS LATINO-AMERICANOS EM SENSORIAMENTO REMOTO, 2012, Cayenne. Anais... Cayenne, Guiana Francesa, 2012. |
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Páginas: |
8 p. |
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Idioma: |
Inglês |
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Conteúdo: |
Pasture degradation process is a complex phenomenon: its causes and consequences lead to a gradual decrease in the pasture's carrying capacity and culminate with its degradation. Inadequate pasture management may lead to degradation at its area, and consequently to a decrease in the amount of biomass available for the cattle. These degraded areas deserve attention, especially if located in high declivity areas, which are subject to processes such as soil erosion and therefore prone to the development of ravines and gullies. These declivity areas can be located using data from several sources, such as topographic maps and digital elevation models. The objective of this work is to determine topography declivity classes at the APTA (São Paulo State Agribusiness Technology Agency) farm, located in the city of Pindamonhangaba, SP, Brazil. The APTA farm was chosen due to its participation in the project "Development of Geotechnologies for Identifying and Monitoring Pasture Degradation Processes ? Geodegrade", whose objective is to develop geotechnologies for the identification and monitoring of pasture degradation levels. The sources used for obtaining altimetry data on the study area were 1:10,000, SRTM, ASTER DTM and TOPODATA data. The data were compiled in a georeferred database, and were used to generate different declivity maps. The maps generated from topographic maps (1:10,000) were the most detailed. The map was reclassified into 5 slope classes: 0°-3°; 3°-8°; 8°-20° and 20°-45° and were found 731.2 ha; 546.9 ha; 132.2 ha and 1.1 ha of area for each class, respectively. Future studies in Geodegrade project will be carried out using information such as biomass estimation according to declivity, with the expectation of evaluating if the studied degraded pastures are located in areas prone to landslides. MenosPasture degradation process is a complex phenomenon: its causes and consequences lead to a gradual decrease in the pasture's carrying capacity and culminate with its degradation. Inadequate pasture management may lead to degradation at its area, and consequently to a decrease in the amount of biomass available for the cattle. These degraded areas deserve attention, especially if located in high declivity areas, which are subject to processes such as soil erosion and therefore prone to the development of ravines and gullies. These declivity areas can be located using data from several sources, such as topographic maps and digital elevation models. The objective of this work is to determine topography declivity classes at the APTA (São Paulo State Agribusiness Technology Agency) farm, located in the city of Pindamonhangaba, SP, Brazil. The APTA farm was chosen due to its participation in the project "Development of Geotechnologies for Identifying and Monitoring Pasture Degradation Processes ? Geodegrade", whose objective is to develop geotechnologies for the identification and monitoring of pasture degradation levels. The sources used for obtaining altimetry data on the study area were 1:10,000, SRTM, ASTER DTM and TOPODATA data. The data were compiled in a georeferred database, and were used to generate different declivity maps. The maps generated from topographic maps (1:10,000) were the most detailed. The map was reclassified into 5 slope classes: 0°-3°; 3°-8°; 8°-20° and 2... Mostrar Tudo |
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Palavras-Chave: |
ASTER; SRTM; TOPODATA. |
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Thesaurus Nal: |
Digital elevation models. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/74516/1/Bayma.pdf
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Marc: |
LEADER 02626nam a2200217 a 4500
001 1945616
005 2013-01-17
008 2012 bl uuuu u00u1 u #d
100 1 $aSILVA, G. B. S. da
245 $aMapeamento de classes de declividade da sede do Polo Regional de Desenvolvimento Tecnológico dos Agronegócios do Vale do Paraíba, em Pindamonhangaba (SP).$h[electronic resource]
260 $aIn: SYMPOSIUM SOCIEDADE DE ESPECIALISTAS LATINO-AMERICANOS EM SENSORIAMENTO REMOTO, 2012, Cayenne. Anais... Cayenne, Guiana Francesa$c2012
300 $a8 p.
520 $aPasture degradation process is a complex phenomenon: its causes and consequences lead to a gradual decrease in the pasture's carrying capacity and culminate with its degradation. Inadequate pasture management may lead to degradation at its area, and consequently to a decrease in the amount of biomass available for the cattle. These degraded areas deserve attention, especially if located in high declivity areas, which are subject to processes such as soil erosion and therefore prone to the development of ravines and gullies. These declivity areas can be located using data from several sources, such as topographic maps and digital elevation models. The objective of this work is to determine topography declivity classes at the APTA (São Paulo State Agribusiness Technology Agency) farm, located in the city of Pindamonhangaba, SP, Brazil. The APTA farm was chosen due to its participation in the project "Development of Geotechnologies for Identifying and Monitoring Pasture Degradation Processes ? Geodegrade", whose objective is to develop geotechnologies for the identification and monitoring of pasture degradation levels. The sources used for obtaining altimetry data on the study area were 1:10,000, SRTM, ASTER DTM and TOPODATA data. The data were compiled in a georeferred database, and were used to generate different declivity maps. The maps generated from topographic maps (1:10,000) were the most detailed. The map was reclassified into 5 slope classes: 0°-3°; 3°-8°; 8°-20° and 20°-45° and were found 731.2 ha; 546.9 ha; 132.2 ha and 1.1 ha of area for each class, respectively. Future studies in Geodegrade project will be carried out using information such as biomass estimation according to declivity, with the expectation of evaluating if the studied degraded pastures are located in areas prone to landslides.
650 $aDigital elevation models
653 $aASTER
653 $aSRTM
653 $aTOPODATA
700 1 $aPEREIRA, K. C.
700 1 $aFARIA, D. P.
700 1 $aSOUZA, L. C. N. DE
700 1 $aNOGUEIRA, S. F.
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Registro original: |
Embrapa Territorial (CNPM) |
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| Registros recuperados : 4 | |
| 2. |  | JESUS, M. dos S. de; BEZERRA, V. S.; DAMASCENO, L. F.; PEREIRA, K. C. Matrizes de açaizeiro da região do Cunani (AP) avaliadas quanto aos aspectos produtivo e qualitativo para o mercado de polpa. In: CONGRESSO AMAPAENSE DE INICIAÇÃO CIENTÍFICA, 11., 2022, Macapá. Livro de Resumos. Curitiba: CRV, 2022. p. 44. Organizadores: Kátia Santos, Gabriel Silva, Rafael Pontes, Marcos Marques, Gilberto Yokomizo, Mábia Toscano, Elizabeth Costa, Luzinete Lopes, Josiane Muller.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Amapá. |
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| 4. | | SILVA, G. B. S. da; PEREIRA, K. C.; FARIA, D. P.; SOUZA, L. C. N. DE; NOGUEIRA, S. F. Mapeamento de classes de declividade da sede do Polo Regional de Desenvolvimento Tecnológico dos Agronegócios do Vale do Paraíba, em Pindamonhangaba (SP). In: SYMPOSIUM SOCIEDADE DE ESPECIALISTAS LATINO-AMERICANOS EM SENSORIAMENTO REMOTO, 2012, Cayenne. Anais... Cayenne, Guiana Francesa, 2012. 8 p.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Territorial. |
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| Registros recuperados : 4 | |
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