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| Registros recuperados : 153 | |
| Registros recuperados : 153 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
26/11/2012 |
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Data da última atualização: |
08/01/2020 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
SANTOS, S. A.; LIMA, H. P. de; OLIVEIRA, L. O. F. de; TOMÁS, W. M.; ABREU, U. G. P. de; MASSRUHÁ, S. M. F. S.; PEROTTO-BALDIVIESO, H. L. |
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Afiliação: |
SANDRA APARECIDA SANTOS, CPAP; HELANO PÓVOAS DE LIMA, CNPTIA; LUÍZ ORCIRIO FIALHO DE OLIVEIRA, CPAP; WALFRIDO MORAES TOMÁS, CPAP; URBANO GOMES PINTO DE ABREU, CPAP; SILVIA MARIA FONSECA SILVEIRA MASSRUHÁ, CNPTIA; HUMBERTO L. PEROTTO-BALDIVIESO, Cranfield University. |
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Título: |
Integrating remote sensing, geographic information system and fuzzy logic: an index to evaluate the natural potential for livestock ranching in the Pantanal. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
In: SIMPÓSIO DE GEOTECNOLOGIAS NO PANTANAL, 4., 2012, Bonito, MS. Anais... Brasília, DF: Embrapa, 2012. |
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Páginas: |
p. 202-209. |
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Descrição Física: |
1 CD-ROM. |
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Idioma: |
Inglês |
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Notas: |
Geopantanal 2012. |
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Conteúdo: |
Abstract: In this study, an index natural potential for livestock ranching (NPLR) at ranch level in the Pantanal wetland was obtained using landscape indicators combined with fuzzy inference process. Four landscape indicators related with livestock production were selected by an expertise group. The application of this approach was illustrated through a pilot ranch located in the Nhecolândia sub-region, Pantanal, MS. Remote Sensing (RS) and Geographic Information System (GIS) technologies were used to map the vegetation types and aquatic habitats (landscapes types) in this ranch. Landscape type?s composition metrics were obtained using the ArcGis 9 and were used to estimate the four indicators selected by expertise: forest cover proportion (FC); landscape productive value (LPV); diversity of aquatic habitats (DAH) and flooding degree (FD). Fuzzy inference process involving definitions of membership functions, fuzzy set operations and inference rule were run and validated with the participation of core stakeholders. Different scenarios also were simulated in batch and validated with the participation of stakeholders. Both procedures were performed by Webfuzzy software. The NPLR index value found in the pilot ranch was as expected by both expertise and stakeholders. Fuzzy logic combined with landscape metric seems to be suitable for the definition of the natural potential of ranches to produce livestock in the Pantanal. |
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Palavras-Chave: |
Análise de paisagem; Aprendizado de máquina fuzzy; Indicador de sustentabilidade; Validação participativa. |
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Thesagro: |
Sensoriamento Remoto; Sistema de Informação Geográfica. |
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Thesaurus NAL: |
Geographic information systems; Remote sensing. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/70805/1/p43.pdf
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Marc: |
LEADER 02555nam a2200301 a 4500
001 1940553
005 2020-01-08
008 2012 bl uuuu u00u1 u #d
100 1 $aSANTOS, S. A.
245 $aIntegrating remote sensing, geographic information system and fuzzy logic$ban index to evaluate the natural potential for livestock ranching in the Pantanal.$h[electronic resource]
260 $aIn: SIMPÓSIO DE GEOTECNOLOGIAS NO PANTANAL, 4., 2012, Bonito, MS. Anais... Brasília, DF: Embrapa$c2012
300 $ap. 202-209.$c1 CD-ROM.
500 $aGeopantanal 2012.
520 $aAbstract: In this study, an index natural potential for livestock ranching (NPLR) at ranch level in the Pantanal wetland was obtained using landscape indicators combined with fuzzy inference process. Four landscape indicators related with livestock production were selected by an expertise group. The application of this approach was illustrated through a pilot ranch located in the Nhecolândia sub-region, Pantanal, MS. Remote Sensing (RS) and Geographic Information System (GIS) technologies were used to map the vegetation types and aquatic habitats (landscapes types) in this ranch. Landscape type?s composition metrics were obtained using the ArcGis 9 and were used to estimate the four indicators selected by expertise: forest cover proportion (FC); landscape productive value (LPV); diversity of aquatic habitats (DAH) and flooding degree (FD). Fuzzy inference process involving definitions of membership functions, fuzzy set operations and inference rule were run and validated with the participation of core stakeholders. Different scenarios also were simulated in batch and validated with the participation of stakeholders. Both procedures were performed by Webfuzzy software. The NPLR index value found in the pilot ranch was as expected by both expertise and stakeholders. Fuzzy logic combined with landscape metric seems to be suitable for the definition of the natural potential of ranches to produce livestock in the Pantanal.
650 $aGeographic information systems
650 $aRemote sensing
650 $aSensoriamento Remoto
650 $aSistema de Informação Geográfica
653 $aAnálise de paisagem
653 $aAprendizado de máquina fuzzy
653 $aIndicador de sustentabilidade
653 $aValidação participativa
700 1 $aLIMA, H. P. de
700 1 $aOLIVEIRA, L. O. F. de
700 1 $aTOMÁS, W. M.
700 1 $aABREU, U. G. P. de
700 1 $aMASSRUHÁ, S. M. F. S.
700 1 $aPEROTTO-BALDIVIESO, H. L.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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