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| 46. |  | NOGUEIRA, S. F.; MACEDO, M. C. M.; CHAPUIS, R. P.; SILVA, G. B. S. da. Protocolo de campo para validação de métodos de identificação de níveis de degradação de pastagens usando de imagens multisensores. Campinas: Embrapa Monitoramento por Satélite, 2012. 16 p. (Embrapa Monitoramento por Satélite. Circular Técnica, 25) Agradecimentos: João José Assumpção de Abreu Demarchi, Enilson Geraldo Ribeiro, Gustavo Pavan Mateus, Rodolfo Maciel Fernandes Zootecnista, Karla Conceição Pereira, Linda Mônica Premazzi, Davi José Bungenstab, Rodrigo da Costa Gomes...| Biblioteca(s): Embrapa Territorial. |
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| 52. | | ALBINO, T. C.; VICTORIA, D. de C.; BATISTELLA, M.; SILVA, G. B. S. da; LOEBMANN, D. G. dos S. W. Comparação entre a classificação supervisionada e a interpretação visual de agrossistemas nos municípios de Álvares Florence e Dracena, Estado de São Paulo. In: CONGRESSO INTERINSTITUCIONAL DE INICIAÇÃO CIENTÍFICA, 7., 2013, Campinas, SP. Anais... Campinas: IAC, 2013. 8 p.| Biblioteca(s): Embrapa Territorial. |
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| 53. | | BULLER, L. S.; LIMA, I. B. T. de; ORTEGA, E.; MORAES, A.; SILVA, G. B. S. da; ZANETTI, M. R. Soil improvement and mitigation of greenhouse gas emissions for integrated crop-livestock systems: Case study assessment in the Pantanal savanna highland, Brazil. Agricultural Systems, v. 137, p. 206-219, 2015.| Biblioteca(s): Embrapa Territorial. |
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| 54. | | BULLER, L. S.; SILVA, G. B. S. da; ZANETTI, M. R.; ORTEGA, E.; MORAES, A. DE; GOULART, T.; BERGIER, I. Historical Land-Use Changes in São Gabriel do Oeste at the Upper Taquari River Basin. In: BERGIER, I.; ASSINE, M. L. (ED.). Dynamics of the Pantanal Wetland in South America. Switzerland: Springer International Publishing, 2016. p. 191-208. 280 p. (The Handbook of Environmental Chemistry, 37)| Biblioteca(s): Embrapa Territorial. |
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| 55. | | ALCÂNTARA, G. C. DE; SILVA, G. B. S. da; DRUCKER, D. P.; VICTORIA, D. de C.; BOLFE, E. L. Geoinfo e MaToPiBa: um Webgis para a disseminação de informações Geoespaciais. In: SIMPÓSIO INTERNACIONAL DE ÁGUAS, SOLOS E GEOTECNOLOGIAS, 1., 2015, Uberaba. Anais... Uberaba: UFMT, 2015. 9 p.| Biblioteca(s): Embrapa Territorial. |
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| Registros recuperados : 186 | |
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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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