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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Territorial. |
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Data corrente: |
26/09/2013 |
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Data da última atualização: |
11/12/2014 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
GALDINO, S.; MARINHO, M. DE A.; SILVA, J. dos S. V. da. |
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Afiliação: |
SERGIO GALDINO, CNPM; MARA DE ANDRADE MARINHO, UNICAMP; JOAO DOS SANTOS VILA DA SILVA, CNPTIA. |
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Título: |
Classification of pasture degradation levels in terms of hydric erosion risk in quartzipsamments areas at alto Taquari watershed (MS/MT, Brazil). |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
Geografia, Rio Claro, v. 38, número especial, p. 95-107, ago. 2013. |
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Páginas: |
p. 95-107 |
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Idioma: |
Inglês
Português |
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Conteúdo: |
Pasture degradation is currently one of Brazil's agriculture main problems. Pasture areas grown on Quartzipsamments (RQ) at the Alto Taquari watershed (BAT) are important sources of sediments which intensify the Taquari river´s situation in Pantanal. The objective of this work was to assess the use of the Linear Spectral Mixture Model (LSMM) in the mapping and characterization of the current degradation level of pastures planted on RQ at BAT in terms of erosion risk. Using Landsat 5 satellite images of 2010 and employing the LSMM, we generated an image for exposed soil (ES), which was used along with field work to define three pasture degradation levels: low degradation level or not degraded (ES < 20%), medium degradation level (20% < ED > 45%) and high degradation level (ES > 45%). In 2010, the pastures grown on RQ at BAT encompassed a total of 851,204 ha, which corresponded to 66.3% of this soil class and to 30.1% of the watershed surface. The largest amount of pasture areas, around 57%, showed medium degradation level, about 9% showed high degradation level, and the remainder, around 34%, were pastures with low degradation level or not degraded. |
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Palavras-Chave: |
Alto Paraguai watershed; Bacia hidrográfica do alto Paraguai; Cerrado biome; Degradação de pastagens; Degraded pasture recovery; Geotchnology; Geotechnology; Geotecnologia; Linear Spectral Mixture Model; Modelo Linear de Mistura Espectral; Recuperação de pastagens degradadas. |
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Thesagro: |
Cerrado. |
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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/90863/1/Scanned-image-46.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/158546/1/Classificationofpasture.pdf
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Marc: |
LEADER 02203naa a2200301 a 4500
001 1968405
005 2014-12-11
008 2013 bl uuuu u00u1 u #d
100 1 $aGALDINO, S.
245 $aClassification of pasture degradation levels in terms of hydric erosion risk in quartzipsamments areas at alto Taquari watershed (MS/MT, Brazil).$h[electronic resource]
260 $c2013
300 $ap. 95-107
520 $aPasture degradation is currently one of Brazil's agriculture main problems. Pasture areas grown on Quartzipsamments (RQ) at the Alto Taquari watershed (BAT) are important sources of sediments which intensify the Taquari river´s situation in Pantanal. The objective of this work was to assess the use of the Linear Spectral Mixture Model (LSMM) in the mapping and characterization of the current degradation level of pastures planted on RQ at BAT in terms of erosion risk. Using Landsat 5 satellite images of 2010 and employing the LSMM, we generated an image for exposed soil (ES), which was used along with field work to define three pasture degradation levels: low degradation level or not degraded (ES < 20%), medium degradation level (20% < ED > 45%) and high degradation level (ES > 45%). In 2010, the pastures grown on RQ at BAT encompassed a total of 851,204 ha, which corresponded to 66.3% of this soil class and to 30.1% of the watershed surface. The largest amount of pasture areas, around 57%, showed medium degradation level, about 9% showed high degradation level, and the remainder, around 34%, were pastures with low degradation level or not degraded.
650 $aCerrado
653 $aAlto Paraguai watershed
653 $aBacia hidrográfica do alto Paraguai
653 $aCerrado biome
653 $aDegradação de pastagens
653 $aDegraded pasture recovery
653 $aGeotchnology
653 $aGeotechnology
653 $aGeotecnologia
653 $aLinear Spectral Mixture Model
653 $aModelo Linear de Mistura Espectral
653 $aRecuperação de pastagens degradadas
700 1 $aMARINHO, M. DE A.
700 1 $aSILVA, J. dos S. V. da
773 $tGeografia, Rio Claro$gv. 38, número especial, p. 95-107, ago. 2013.
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Embrapa Territorial (CNPM) |
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